Suchergebnis: Katalogdaten im Frühjahrssemester 2023
Biomedical Engineering Master  | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Bioelectronics | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kernfächer der Vertiefung Während des Studiums müssen mindestens 12 KP aus Kernfächern einer Vertiefung (Track) erreicht werden. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 227-1032-00L | Neuromorphic Engineering II Information für UZH Studierende: Die Lerneinheit kann nur an der ETH belegt werden. Die Belegung des Moduls INI405 ist an der UZH nicht möglich. Beachten Sie die Einschreibungstermine an der ETH für UZH Studierende: Link | W | 6 KP | 5G | T. Delbrück, G. Indiveri, S.‑C. Liu | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course teaches the basics of analog chip design and layout with an emphasis on neuromorphic circuits, which are introduced in the fall semester course "Neuromorphic Engineering I". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Design of a neuromorphic circuit for implementation with CMOS technology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course teaches the basics of analog chip design and layout with an emphasis on neuromorphic circuits, which are introduced in the autumn semester course "Neuromorphic Engineering I". The principles of CMOS processing technology are presented. Using a set of inexpensive software tools for simulation, layout and verification, suitable for neuromorphic circuits, participants learn to simulate circuits on the transistor level and to make their layouts on the mask level. Important issues in the layout of neuromorphic circuits will be explained and illustrated with examples. In the latter part of the semester students simulate and layout a neuromorphic chip. Schematics of basic building blocks will be provided. The layout will then be fabricated and will be tested by students during the following fall semester. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | S.-C. Liu et al.: Analog VLSI Circuits and Principles; software documentation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Prerequisites: Neuromorphic Engineering I strongly recommended | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0427-10L | Model-Based Estimation and Signal Analysis | W | 6 KP | 4G | H.‑A. Loeliger | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course develops a selection of topics pivoting around state space models, factor graphs, and pertinent algorithms for estimation, model fitting, and learning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course develops a selection of topics pivoting around state space methods, factor graphs, and pertinent algorithms: - hidden-Markov models - factor graphs and message passing algorithms - linear state space models, Kalman filtering, and recursive least squares - Gibbs sampling, particle filter - recursive local polynomial fitting for signal analysis - parameter learning by expectation maximization - linear-model fitting beyond least squares: sparsity, Lp-fitting and regularization, jumps - binary, M-level, and half-plane constraints in control and communications | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Solid mathematical foundations (especially in probability, estimation, and linear algebra) as provided by the course "Introduction to Estimation and Machine Learning". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0973-00L | Translational Neuromodeling  | W | 8 KP | 3V + 2U + 1A | K. Stephan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course provides an introduction to Translational Neuromodeling (the development of computational assays of neuronal and cognitive processes) and their application to concrete clinical questions (Computational Psychiatry/Psychosomatics). It focuses on a generative modeling strategy and teaches (hierarchical) Bayesian models of neuroimaging data and behaviour, incl. exercises and project work. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To obtain an understanding of the goals, concepts and methods of Translational Neuromodeling and Computational Psychiatry/Psychosomatics, particularly with regard to Bayesian models of neuroimaging (fMRI, EEG) and behavioural data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course provides a systematic introduction to Translational Neuromodeling (the development of computational assays of neuronal and cognitive processes) and their application to concrete clinical questions (Computational Psychiatry/Psychosomatics). The first part of the course will introduce disease concepts from psychiatry and psychosomatics, their history, and clinical priority problems. The second part of the course concerns computational modeling of neuronal and cognitive processes for clinical applications. A particular focus is on Bayesian methods and generative models, for example, dynamic causal models for inferring neuronal processes from neuroimaging data, and hierarchical Bayesian models for inference on cognitive processes from behavioural data. The course discusses the mathematical and statistical principles behind these models, illustrates their application to various psychiatric diseases, and outlines a general research strategy based on generative models. Lecture topics include: 1. Introduction to Translational Neuromodeling and Computational Psychiatry/Psychosomatics 2. Psychiatric nosology 3. Pathophysiology of psychiatric disease mechanisms 4. Principles of Bayesian inference and generative modeling 5. Variational Bayes (VB) 6. Bayesian model selection 7. Markov Chain Monte Carlo techniques (MCMC) 8. Bayesian frameworks for understanding psychiatric and psychosomatic diseases 9. Generative models of fMRI data 10. Generative models of electrophysiological data 11. Generative models of behavioural data 12. Computational concepts of schizophrenia and depression 13. Generative embedding: Model-based predictions about individual patients Practical exercises include mathematical derivations and the implementation of specific models and inference methods. In additional project work, students are required to either develop a novel generative model (and demonstrate its properties in simulations) or devise novel applications of an existing model to empirical data in order to address a clinical question. Group work (up to 3 students) is required. Please note that some of the exercises involve the use of open source software in Matlab. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | See TNU website: https://www.tnu.ethz.ch/en/teaching | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Good knowledge of principles of statistics, good programming skills (the majority of the open source software tools used is in MATLAB; for project work, Julia can also be used) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Wahlfächer der Vertiefung Diese Fächer sind für die Vertiefung in Bioelectronics besonders empfohlen. Bei abweichender Fächerwahl konsultieren Sie bitte den Track Adviser. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0172-00L | Microsystems II: Devices and Applications | W | 6 KP | 3V + 3U | C. Hierold, C. I. Roman | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The students are introduced to the fundamentals and physics of microelectronic devices as well as to microsystems in general (MEMS). They will be able to apply this knowledge for system research and development and to assess and apply principles, concepts and methods from a broad range of technical and scientific disciplines for innovative products. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The students are introduced to the fundamentals and physics of microelectronic devices as well as to microsystems in general (MEMS), basic electronic circuits for sensors, RF-MEMS, chemical microsystems, BioMEMS and microfluidics, magnetic sensors and optical devices, and in particular to the concepts of Nanosystems (focus on carbon nanotubes), based on the respective state-of-research in the field. They will be able to apply this knowledge for system research and development and to assess and apply principles, concepts and methods from a broad range of technical and scientific disciplines for innovative products. During the weekly 3 hour module on Mondays dedicated to Übungen the students will learn the basics of Comsol Multiphysics and utilize this software to simulate MEMS devices to understand their operation more deeply and optimize their designs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Transducer fundamentals and test structures Pressure sensors and accelerometers Resonators and gyroscopes RF MEMS Acoustic transducers and energy harvesters Thermal transducers and energy harvesters Optical and magnetic transducers Chemical sensors and biosensors, microfluidics and bioMEMS Nanosystem concepts Basic electronic circuits for sensors and microsystems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts (on-line) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0566-00L | Recursive Estimation | W | 4 KP | 2V + 1U | R. D'Andrea | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Estimation of the state of a dynamic system based on a model and observations in a computationally efficient way. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Learn the basic recursive estimation methods and their underlying principles. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Introduction to state estimation; probability review; Bayes' theorem; Bayesian tracking; extracting estimates from probability distributions; Kalman filter; extended Kalman filter; particle filter; observer-based control and the separation principle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes available on course website: http://www.idsc.ethz.ch/education/lectures/recursive-estimation.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Requirements: Introductory probability theory and matrix-vector algebra. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0622-00L | Measuring on the Nanometer Scale | W | 2 KP | 2G | A. Stemmer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Conventional techniques to analyze nano structures using photons and electrons: light microscopy with dark field and differential interference contrast; scanning electron microscopy, transmission electron microscopy. Interferometric and other techniques to measure distances. Optical traps. Foundations of scanning probe microscopy: tunneling, atomic force, optical near-field. Interactions between specimen and probe. Current trends, including spectroscopy of material parameters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Slides available via Moodle (registered participants only). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0630-00L | Nanorobotics | W | 4 KP | 2V + 1U | S. Pané Vidal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Nanorobotics is an interdisciplinary field that includes topics from nanotechnology and robotics. The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. These topics include basic principles of nanorobotics, building parts for nanorobotic systems, powering and locomotion of nanorobots, manipulation, assembly and sensing using nanorobots, molecular motors, and nanorobotics for nanomedicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0636-00L | Soft and Biohybrid Robotics | W | 4 KP | 3G | R. Katzschmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Soft and biohybrid robotics are emerging fields taking inspiration from nature to create robots that are inherently safer to interact with. You learn how to create structures, actuators, sensors, models, controllers, and machine learning architectures exploiting the deformable nature of soft robots. You also learn how to apply soft robotic principles to challenges of your research domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Learning Objective 1: Solve a robotics challenge with a soft robotic design Step 1: Formulate suitable functional requirements for the challenge Step 2: Select soft robotic actuator material Step 3: Design and fabrication approach suitable for the challenge Step 4: Basic controller for robotic functionality Learning Objective 2: Formulate modeling, control, and learning frameworks for highly articulated robots in real-life scenarios Step 1: Formulate the dynamic skills needed for the real-life scenario Step 2: Pick + combine suitable multiphysics modeling, control + learning techniques for this scenario Step 3: Evaluate the modeling/control approach for a real-life scenario Step 4: Modify and enhance the modeling/control approach and repeat the evaluation Step 5: Choose a learning approach for complex robotic skills Learning Objective 3: Apply the principles of mechanical impedance and embodied intelligence to soft robotic challenges in various domains Step 1: Identify the moving aspects of the problem Step 2: Choose and design the passive and actively-controlled degrees of freedom Step 3: Pick the actuation material based on suitability to your challenge Step 4: Design in detail multiple combinations of body and brain Step 5: Simulate, build, test, fail, and repeat this often and quickly until the soft robot works for simple settings Step 6: Upgrade and validate the robot for a suitable performance under real-world conditions Learning Objective 4: Rethink robotic approaches by moving towards designs made of living materials Step 1: Identify what problems could be easier to solve with a complex living material Step 2: Scout for available works that have potentially tackled the problem with a living material Step 3: Formulate a hypothesis for your new approach with a living material Step 4: Design a minimum viable prototype (MVP) that suitably highlights your new approach | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Students will learn about the latest research advances in material technologies, fabrication, modeling, and machine learning to design, simulate, build, and control soft and biohybrid robots. Part 1: Functional and intelligent materials for use in soft and biohybrid robotic applications Part 2: Design and design morphologies of soft robotic actuators and sensors Part 3: Fabrication techniques including 3D printing, casting, roll-to-roll, tissue engineering Part 4: Biohybrid robotics including microrobots and macrorobots; tissue engineering Part 5: Mechanical modeling including minimal parameter models, finite-element models, and ML-based models Part 6: Closed-loop controllers of soft robots that exploit the robot's impedance and dynamics for locomotion and manipulation tasks Part 7: Machine Learning approaches to soft robotics, for design synthesis, modeling, and control Regular assignments throughout the semester will teach the participants to implement the skills and knowledge learned during the class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | All class materials including slides, recordings, assignments, pre-reads, and tutorials can be found on the Moodle page of the class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | 1) Yasa et al. "An Overview of Soft Robotics." Annu. Rev. Control Robot. Auton. Syst. (2023). 6:1–29. 2) Polygerinos et al. "Soft robotics: Review of fluid‐driven intrinsically soft devices; manufacturing, sensing, control, and applications in human‐robot interaction." Advanced Engineering Materials 19.12 (2017): 1700016. 3) Cianchetti, et al. "Biomedical applications of soft robotics." Nature Reviews Materials 3.6 (2018): 143-153. 4) Ricotti et al. "Biohybrid actuators for robotics: A review of devices actuated by living cells." Science Robotics 2.12 (2017). 5) Sun et al. "Biohybrid robotics with living cell actuation." Chemical Society Reviews 49.12 (2020): 4043-4069. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | - Prerequesites are dynamics, controls, and intro to robotics. - Only for students at master or PhD level. - Due to the limited places, the priority goes first to students from the Robotics, Systems and Control Master and second to the other study programs where the course is offered. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0638-00L | MaP Distinguished Lecture Series on Engineering with Living Materials This course is primarily designed for MSc and doctoral students. Guests are welcome. Former title: MaP Distinguished Lecture Series on Soft Robotics | W | 1 KP | 2S | R. Katzschmann, M. Filippi, X.‑H. Qin, Z. Zhang | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is an interdisciplinary colloquium on the engineering of biohybrid systems and robotics. Internationally renowned speakers from academia and industry give lectures about their cutting-edge research, which highlights the state-of-the-art and frontiers in the field of engineering with living materials and biohybrids. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Participants become acquainted with the state-of-the-art and frontiers in biohybrid systems and robotics, which is a topic of global and future relevance from the field of materials and process engineering. The self-study of relevant literature and active participation in discussions following presentations by internationally renowned speakers stimulate critical thinking and allow participants to deliberately discuss challenges and opportunities with leading academics and industrial experts and to exchange ideas within an interdisciplinary community. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course is a colloquium involving a selected mix of internationally renowned speakers from academia and industry who present their cutting-edge research in the field of engineered systems using living materials. In particular, the course will cover fundamentals of bioengineering at a multicellular level (biofabrication), as well as examples of manufacturing and application of living cells to engineered systems for medical applications and beyond. Speakers will show how to combine living cells with non-living, synthetic materials to realize bio-hybrid systems to be applied to many fields of human life, ranging from biomedicine to robotics, biosensing, ecology, and architecture. It will be shown how bio-hybrid technologies and cutting-edge engineering techniques can support cell proliferation and even enhance their cell functions. The course will cover materials and approaches for the biofabrication of living tissue, seen as a biomedical model for pathophysiological discovery research, or as transplantable grafts for tissue regeneration. Speakers will illustrate how living species can contribute to ecological approaches in town planning (such as CO2 sequestration), sensing and processor technologies enabled by connective and signaling abilities of cells, and motile systems actuated by contractile cells (bio-hybrid robots). The main learning objective is to learn about: materials and techniques to build intelligent biological systems for future, sustainable societies; mechanisms of cell and tissue programmability; and applications in bio-robotics, communication, sensing technologies, and medical engineering. The self-study of relevant pre-read literature provided in advance of each lecture serves as a basis for active participation in the critical discussions following each presentation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Selected scientific pre-read literature (around two articles per lecture) relevant for and discussed during the lectures is posted in advance on the course web page. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course is taught by a selection of internationally renowned speakers from academia and industry working in the field of bio-hybrid systems and robotics. This lecture series is focusing on the recent trends in engineering with living materials. Participants should have a background in tissue engineering, material science, and/or robotics. To obtain credits, students need to: (i) attend 80% of all lectures; (ii) submit a one-page abstract of 3 different lectures. The performance will be assessed with a "Pass/Fail" format. On-site attendance to the lectures is preferred to foster in-person contacts. However, for lectures given by online speakers, a Zoom link to attend remotely will be provided on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 151-0641-00L | Introduction to Robotics and Mechatronics Number of participants limited to 60. Enrollment is only valid through registration on the MSRL website (www.msrl.ethz.ch). Registrations per e-mail is no longer accepted! | W | 4 KP | 2V + 2U | B. Nelson, Q. Boehler, J. Lussi | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The aim of this lecture is to expose students to the fundamentals of mechatronic and robotic systems. Over the course of these lectures, topics will include how to interface a computer with the real world, different types of sensors and their use, different types of actuators and their use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | An ever-increasing number of mechatronic systems are finding their way into our daily lives. Mechatronic systems synergistically combine computer science, electrical engineering, and mechanical engineering. Robotics systems can be viewed as a subset of mechatronics that focuses on sophisticated control of moving devices. The aim of this course is to practically and theoretically expose students to the fundamentals of mechatronic and robotic systems. Over the course of the semester, the lecture topics will include an overview of robotics, an introduction to different types of sensors and their use, the programming of microcontrollers and interfacing these embedded computers with the real world, signal filtering and processing, an introduction to different types of actuators and their use, an overview of computer vision, and forward and inverse kinematics. Throughout the course, students will periodically attend laboratory sessions and implement lessons learned during lectures on real mechatronic systems. By the end of the course, you will be able to independently choose, design and integrate these different building blocks into a working mechatronic system. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course consists of weekly lectures and lab sessions. The weekly topics are the following: 0. Course Introduction 1. C Programming 2. Sensors 3. Data Acquisition 4. Signal Processing 5. Digital Filtering 6. Actuators 7. Computer Vision and Kinematics 8. Modeling and Control 9. Review and Outlook The lecture schedule can be found on our course page on the MSRL website (www.msrl.ethz.ch) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The students are expected to be familiar with C programming. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0952-00L | Nanophotonics: from Fundamentals to Applications | W | 4 KP | 2V + 2U | D. J. Norris, R. Quidant | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Nanophotonics exploits the unique optical properties of nanostructured materials to boost our control over light, beyond what conventional optics can do. In particular, nanophotonics has proven to offer a unique toolbox to engineer light on the nanometer scale, benefiting a wide spectrum of scientific disciplines, ranging from physics, chemistry, biology, and engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The purpose of this course is threefold: (i) to introduce students to the principal concepts of nanophotonics, (ii) to describe some of the main nanophotonics implementations to control light on the nanometer scale, and finally (iii) to present specific applications where nanophotonics has made breakthrough contributions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | I- INTRODUCTORY CONCEPTS 1. The diffraction limit and the challenges of conventional optics 2. The optical near field 3. Reminders on light-matter interaction 4. Reminders on optical resonators II- PLASMONICS 1. Surface plasmon polaritons 2. Localized surface plasmons 3. Hot carriers 4. Thermoplasmonics III- DIELECTRIC NANOPHOTONICS 1. Mie resonances in subwavelength particles 2. Electric versus magnetic resonances 3. Mode engineering and directional scattering 4. Dielectric nanophotonics versus plasmonics IV- ARTIFICIAL PHOTONIC MATERIALS 1. Photonic crystals 2. Metamaterials 3. Topological photonics 4. Flat optics, metasurfaces & metalenses V- APPLICATIONS 1. Renewable energy 2. Biomedicine 3. Information and Communication Technology | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Class notes and handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - Introduction to Nanophotonics - Benisty, Greffet & Lalanne - Absorption and scattering of light by small particles - Bohren & Huffman - Thermoplasmonics - Baffou - Plasmonics - Maier | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Physics, Introduction to Photonics | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0980-00L | Biofluiddynamics | W | 4 KP | 2V + 1U | D. Obrist, P. Jenny | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to the fluid dynamics of the human body and the modeling of physiological flow processes (biomedical fluid dynamics). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | A basic understanding of fluid dynamical processes in the human body. Knowledge of the basic concepts of fluid dynamics and the ability to apply these concepts appropriately. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This lecture is an introduction to the fluid dynamics of the human body (biomedical fluid dynamics). For selected topics of human physiology, we introduce fundamental concepts of fluid dynamics (e.g., creeping flow, incompressible flow, flow in porous media, flow with particles, fluid-structure interaction) and use them to model physiological flow processes. The list of studied topics includes the cardiovascular system and related diseases, blood rheology, microcirculation, respiratory fluid dynamics and fluid dynamics of the inner ear. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes are provided electronically. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | A list of books on selected topics of biofluiddynamics can be found on the course web page. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1046-00L | Computer Simulations of Sensory Systems | W | 3 KP | 3G | T. Haslwanter | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course deals with computer simulations of the human auditory, visual, and balance system. The lecture will cover the physiological and mechanical mechanisms of these sensory systems. And in the exercises, the simulations will be implemented with Python. The simulations will be such that their output could be used as input for actual neuro-sensory prostheses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Our sensory systems provide us with information about what is happening in the world surrounding us. Thereby they transform incoming mechanical, electromagnetic, and chemical signals into “action potentials”, the language of the central nervous system. The main goal of this lecture is to describe how our sensors achieve these transformations, how they can be reproduced with computational tools. For example, our auditory system performs approximately a “Fourier transformation” of the incoming sound waves; our early visual system is optimized for finding edges in images that are projected onto our retina; and our balance system can be well described with a “control system” that transforms linear and rotational movements into nerve impulses. In the exercises that go with this lecture, we will use Python to reproduce the transformations achieved by our sensory systems. The goal is to write programs whose output could be used as input for actual neurosensory prostheses: such prostheses have become commonplace for the auditory system, and are under development for the visual and the balance system. For the corresponding exercises, at least some basic programing experience is required! | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The following topics will be covered: • Introduction into the signal processing in nerve cells. • Introduction into Python. • Simplified simulation of nerve cells (Hodgkins-Huxley model). • Description of the auditory system, including the application of Fourier transforms on recorded sounds. • Description of the visual system, including the retina and the information processing in the visual cortex. The corresponding exercises will provide an introduction to digital image processing. • Description of the mechanics of our balance system, and the “Control System”-language that can be used for an efficient description of the corresponding signal processing (essentially Laplace transforms and control systems). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | For each module additional material will be provided on the e-learning platform "moodle". The main content of the lecture is also available as a wikibook, under http://en.wikibooks.org/wiki/Sensory_Systems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Open source information is available as wikibook http://en.wikibooks.org/wiki/Sensory_Systems For good overviews of the neuroscience, I recommend: • Principles of Neural Science (5th Ed, 2012), by Eric Kandel, James Schwartz, Thomas Jessell, Steven Siegelbaum, A.J. Hudspeth ISBN 0071390111 / 9780071390118 THE standard textbook on neuroscience. NOTE: The 6th edition will be released on February 5, 2021! • L. R. Squire, D. Berg, F. E. Bloom, Lac S. du, A. Ghosh, and N. C. Spitzer. Fundamental Neuroscience, Academic Press - Elsevier, 2012 [ISBN: 9780123858702]. This book covers the biological components, from the functioning of an individual ion channels through the various senses, all the way to consciousness. And while it does not cover the computational aspects, it nevertheless provides an excellent overview of the underlying neural processes of sensory systems. • G. Mather. Foundations of Sensation and Perception, 2nd Ed Psychology Press, 2009 [ISBN: 978-1-84169-698-0 (hardcover), oder 978-1-84169-699-7 (paperback)] A coherent, up-to-date introduction to the basic facts and theories concerning human sensory perception. • The best place to get started with Python programming are the https://scipy-lectures.org/ On signal processing with Python, my upcoming book • Hands-on Signal Analysis with Python (Due: January 13, 2021 ISBN 978-3-030-57902-9, https://www.springer.com/gp/book/9783030579029) will contain an explanation to all the required programming tools and packages. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | •Since I have to travel from Linz, Austria, to Zurich to give this lecture, I plan to hold this lecture online every 2nd week. In addition to the lectures, this course includes external lab visits to institutes actively involved in research on the relevant sensory systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0125-00L | Optics and Photonics | W | 6 KP | 2V + 2U | J. Leuthold | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This lecture covers both - the fundamentals of "Optics" such as e.g. "ray optics", "coherence", the "Planck law", the "reciprocity theorem" or the "Einstein relations" but also the fundamentals of "Photonics" on the generation (the laser), processing, transmission and detection of photons. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | A sound base for work in the field of optics and photonics will be conveyed. Key principles of optics will the thaught. The lecture passes on the essentials for work with free-space optics or waveguide optics. In addition important optical devices will be discussed. Among them are e.g. optical filters, copulers (MMI-couplers,...), Holograms,... . | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Chapter 1: Ray Optics Chapter 2: Electromagnetic Optics Chapter 3: Polarization Chapter 4: Coherence and Interference Chapter 5: Fourier Optics and Diffraction Chapter 6: Guided Wave Optics Chapter 7: Optical Fibers Chapter 8: The Laser | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes will be handed out. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Fundamentals of Electromagnetic Fields (Maxwell Equations) & Bachelor Lectures on Physics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0395-00L | Neural Systems | W | 6 KP | 2V + 1U + 1A | R. Hahnloser, M. F. Yanik, B. Grewe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course introduces principles of information processing in neural systems. It covers basic neuroscience for engineering students, experiment techniques used in animal research and methods for inferring neural mechanisms. Students learn about neural information processing and basic principles of natural intelligence and their impact on artificially intelligent systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This course introduces - Basic neurophysiology and mathematical descriptions of neurons - Methods for dissecting animal behavior - Neural recordings in intact nervous systems and information decoding principles - Methods for manipulating the state and activity in selective neuron types - Neuromodulatory systems and their computational roles - Reward circuits and reinforcement learning - Imaging methods for reconstructing the synaptic networks among neurons - Birdsong and language - Neurobiological principles for machine learning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | From active membranes to propagation of action potentials. From synaptic physiology to synaptic learning rules. From receptive fields to neural population decoding. From fluorescence imaging to connectomics. Methods for reading and manipulation neural ensembles. From classical conditioning to reinforcement learning. From the visual system to deep convolutional networks. Brain architectures for learning and memory. From birdsong to computational linguistics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Before taking this course, students are encouraged to complete "Bioelectronics and Biosensors" (227-0393-10L). As part of the exercises for this class, students are expected to complete a programming or literature review project to be defined at the beginning of the semester. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0390-00L | Elements of Microscopy | W | 4 KP | 3G | M. Stampanoni, G. Csúcs, A. Sologubenko | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture reviews the basics of microscopy by discussing wave propagation, diffraction phenomena and aberrations. It gives the basics of light microscopy, introducing fluorescence, wide-field, confocal and multiphoton imaging. It further covers 3D electron microscopy and 3D X-ray tomographic micro and nanoimaging. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Solid introduction to the basics of microscopy, either with visible light, electrons or X-rays. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | It would be impossible to imagine any scientific activities without the help of microscopy. Nowadays, scientists can count on very powerful instruments that allow investigating sample down to the atomic level. The lecture includes a general introduction to the principles of microscopy, from wave physics to image formation. It provides the physical and engineering basics to understand visible light, electron and X-ray microscopy. During selected exercises in the lab, several sophisticated instrument will be explained and their capabilities demonstrated. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Available Online. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0622-00L | Applications of Thermal Modeling: From Hot Atoms to Heated Tissues | W | 4 KP | 3G | E. Neufeld, M. Luisier | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | How about leveraging heat to cure cancer or to solve today’s energy crisis? Computational simulation of heat-related phenomena from the atomic-scale to living organisms is key to achieve these goals and will be at the core of this multidisciplinary course. The necessary physics, modeling, and computing background will be covered, from theory to practical implementations in concrete applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | During this course students will: - learn the physics governing the formation and propagation of heat in solids and living human tissues; - discover how heat can be used in personalised cancer therapies or in thermoelectric applications to produce reusable energy; - develop computational models describing electromagnetically-induced heating; - get familiar with computational simulation techniques across a wide range of spatial scales, incl. methods for simulating in vivo heating, considering thermoregulation and perfusion, or more fundamental approaches that consider heat at the level of atomic vibrations; - implement and apply simulation techniques within a state-of-the-art open-source simulation platform for computational life sciences, and a framework for computer-aided design of nanoscale electronic devices; - learn about practical aspects related to performance-critical coding and numerics for computational simulations; - work on two small projects applying the theoretical concepts presented during the lectures to two specific real-world applications where heat modeling is required; - learn about current challenges of high social relevance associated with heat modeling. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The following topics will be covered: - introduction to electromagnetic heating, from its social relevance and history to its application in biology and electronics; - personalised therapies relying on local heating; - thermoelectricity (production of electricity from heat gradients); - microscopic/macroscopic thermal transport including governing equations, numerical methods to solve them, and applications; - numerical algorithms and their implementation, shared and distributed parallelization approaches and pitfalls, use of graphics processing units (GPUs) for hardware acceleration, and solutions for high performance computing; - usage of the Sim4Life simulation platform (therapy planning) and of the OMEN technology computer aided design tool (device simulation) as practical examples; - odel verification and validation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture slides are distributed every week and can be found at https://iis-students.ee.ethz.ch/lectures/thermal-modeling/ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course is ideal for students who have an interest in computational sciences, a passion for interdisciplinarity, and generally enjoy problem-solving. The course requires a basic knowledge of Python scripting and C/C++ coding skills, undergraduate entry-level familiarity with electric and magnetic fields/forces, differential equations, calculus, and basic knowledge of biology and physics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 227-0669-00L | Chemistry of Devices and Technologies | W | 4 KP | 1V + 2U | M. Yarema | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course covers basics of chemistry and material science, relevant for modern devices and technologies. The course consists of interactive classroom activities (lectures, workshops, laboratory sessions) and individual component. For the latter, students accomplish individual projects to study, evaluate, and present a chosen technology from a viewpoint of chemistry and materials science. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course brings relevant chemistry knowledge, tailored to the needs of electrical engineering students. Students will gain understanding of the basic concepts of chemistry and materials science, acquire technology-related practical and analytic skills through the small group activities, laboratory experiments, workshops, and conference sessions as well as guidance through individual projects that require interdisciplinary and critical thinking. Students will learn which materials, reactions, and device fabrication processes are important for nowadays technologies and products. They will gain important knowledge of state-of-the-art technologies from materials and fabrication viewpoints. Finally, students will choose selected technologies or devices and study them in details in order to establish and understand the link between the structure, properties, and performance of functional materials. By doing this, students will also improve important soft skills, such as academic text writing, presenting, and active learning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Students will spend 3h per week in the interactive classroom activities (lectures, workshops, laboratory and conference sessions) and additional 4-6h per week working on individual projects. The goal of the individual student's project is to understand the chemistry related to the manufacture and operation of a specific device or technology and how the structure and properties of materials relate to the performance of devices/technologies (students will be able to choose which technology they want to study). To ensure project-based continued learning throughout the semester, students will receive a matching information during the classroom activities. Individual projects will be evaluated by three interim project reports and by a final presentation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Lecture notes will be made available on the website. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0690-11L | Large-Scale Convex Optimization | W | 4 KP | 2V + 1U | M. Mühlebach | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Convex optimization has revolutionized modern decision making and underpins many scientific and engineering disciplines. To enable its use in modern large-scale applications, we require new analytical methods that address limitations of existing solutions. This course is intended to provide a comprehensive overview of convex analysis and numerical methods for large-scale optimization. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students should be able to apply the fundamental results in convex analysis and numerical methods to analyze and solve large-scale convex optimization problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Convex analysis and methods for large-scale optimization. Topics will include: convex sets and functions ; duality theory ; optimality and infeasibility conditions ; structured optimization problems ; gradient-based methods ; operator splitting methods ; distributed and decentralized optimization ; applications in various research areas. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Available on the course Moodle platform. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Sufficient mathematical maturity, in particular in linear algebra and analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0690-12L | Advanced Topics in Control | W | 4 KP | 2V + 2U | F. Dörfler, M. Hudoba de Badyn | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Advanced Topics in Control (ATIC) covers advanced research topics in control theory. It is offered each Spring semester with the topic rotating from year to year. Repetition for credit is possible, with consent of the instructor. During the spring of 2020, the course will cover a range of topics in distributed systems control. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | By the end of this course you will have developed a sound and versatile toolkit to tackle a range of problems in network systems and distributed systems control. In particular, we will develop the methodological foundations of algebraic graph theory, consensus algorithms, and multi-agent systems. Building on top of these foundations we cover a range of problems in epidemic spreading over networks, swarm robotics, sensor networks, opinion dynamics, distributed optimization, and electrical network theory. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Distributed control systems include large-scale physical systems, engineered multi-agent systems, as well as their interconnection in cyber-physical systems. Representative examples are electric power grids, swarm robotics, sensor networks, and epidemic spreading over networks. The challenges associated with these systems arise due to their coupled, distributed, and large-scale nature, and due to limited sensing, communication, computing, and control capabilities. This course covers algebraic graph theory, consensus algorithms, stability of network systems, distributed optimization, and applications in various domains. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | A complete set of lecture notes and slides will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | The course will be largely based on the following set of lecture notes co-authored by one of the instructors: http://motion.me.ucsb.edu/book-lns/ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Sufficient mathematical maturity, in particular in linear algebra and dynamical systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0966-00L | Quantitative Big Imaging: From Images to Statistics | W | 4 KP | 2V + 1U | P. A. Kaestner, M. Stampanoni | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture focuses on the challenging task of extracting robust, quantitative metrics from imaging data and is intended to bridge the gap between pure signal processing and the experimental science of imaging. The course will focus on techniques, scalability, and science-driven analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | 1. Introduction of applied image processing for research science covering basic image processing, quantitative methods, and statistics. 2. Understanding of imaging as a means to accomplish a scientific goal. 3. Ability to apply quantitative methods to complex 3D data to determine the validity of a hypothesis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Imaging is a well established field and is rapidly growing as technological improvements push the limits of resolution in space, time, material and functional sensitivity. These improvements have meant bigger, more diverse datasets being acquired at an ever increasing rate. With methods varying from focused ion beams to X-rays to magnetic resonance, the sources for these images are exceptionally heterogeneous; however, the tools and techniques for processing these images and transforming them into quantitative, biologically or materially meaningful information are similar. The course consists of equal parts theory and practical analysis of first synthetic and then real imaging datasets. Basic aspects of image processing are covered such as filtering, thresholding, and morphology. From these concepts a series of tools will be developed for analyzing arbitrary images in a very generic manner. Specifically a series of methods will be covered, e.g. characterizing shape, thickness, tortuosity, alignment, and spatial distribution of material features like pores. From these metrics the statistics aspect of the course will be developed where reproducibility, robustness, and sensitivity will be investigated in order to accurately determine the precision and accuracy of these quantitative measurements. A major emphasis of the course will be scalability and the tools of the 'Big Data' trend will be discussed and how cluster, cloud, and new high-performance large dataset techniques can be applied to analyze imaging datasets. In addition, given the importance of multi-scale systems, a data-management and analysis approach based on modern databases will be presented for storing complex hierarchical information in a flexible manner. Finally as a concluding project the students will apply the learned methods on real experimental data from the latest 3D experiments taken from either their own work / research or partnered with an experimental imaging group. The course provides the necessary background to perform the quantitative evaluation of complicated 3D imaging data in a minimally subjective or arbitrary manner to answer questions coming from the fields of physics, biology, medicine, material science, and paleontology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Available online. https://imaginglectures.github.io/Quantitative-Big-Imaging-2023/weeklyplan.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be indicated during the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Ideally, students will have some familiarity with basic manipulation and programming in languages like Python, Matlab, or R. Interested students who are worried about their skill level in this regard are encouraged to contact Anders Kaestner directly (anders.kaestner@psi.ch). More advanced students who are familiar with Python, C++, (or in some cases Java) will have to opportunity to develop more of their own tools. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 227-0973-00L | Translational Neuromodeling | W | 8 KP | 3V + 2U + 1A | K. Stephan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course provides an introduction to Translational Neuromodeling (the development of computational assays of neuronal and cognitive processes) and their application to concrete clinical questions (Computational Psychiatry/Psychosomatics). It focuses on a generative modeling strategy and teaches (hierarchical) Bayesian models of neuroimaging data and behaviour, incl. exercises and project work. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To obtain an understanding of the goals, concepts and methods of Translational Neuromodeling and Computational Psychiatry/Psychosomatics, particularly with regard to Bayesian models of neuroimaging (fMRI, EEG) and behavioural data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course provides a systematic introduction to Translational Neuromodeling (the development of computational assays of neuronal and cognitive processes) and their application to concrete clinical questions (Computational Psychiatry/Psychosomatics). The first part of the course will introduce disease concepts from psychiatry and psychosomatics, their history, and clinical priority problems. The second part of the course concerns computational modeling of neuronal and cognitive processes for clinical applications. A particular focus is on Bayesian methods and generative models, for example, dynamic causal models for inferring neuronal processes from neuroimaging data, and hierarchical Bayesian models for inference on cognitive processes from behavioural data. The course discusses the mathematical and statistical principles behind these models, illustrates their application to various psychiatric diseases, and outlines a general research strategy based on generative models. Lecture topics include: 1. Introduction to Translational Neuromodeling and Computational Psychiatry/Psychosomatics 2. Psychiatric nosology 3. Pathophysiology of psychiatric disease mechanisms 4. Principles of Bayesian inference and generative modeling 5. Variational Bayes (VB) 6. Bayesian model selection 7. Markov Chain Monte Carlo techniques (MCMC) 8. Bayesian frameworks for understanding psychiatric and psychosomatic diseases 9. Generative models of fMRI data 10. Generative models of electrophysiological data 11. Generative models of behavioural data 12. Computational concepts of schizophrenia and depression 13. Generative embedding: Model-based predictions about individual patients Practical exercises include mathematical derivations and the implementation of specific models and inference methods. In additional project work, students are required to either develop a novel generative model (and demonstrate its properties in simulations) or devise novel applications of an existing model to empirical data in order to address a clinical question. Group work (up to 3 students) is required. Please note that some of the exercises involve the use of open source software in Matlab. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | See TNU website: https://www.tnu.ethz.ch/en/teaching | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Good knowledge of principles of statistics, good programming skills (the majority of the open source software tools used is in MATLAB; for project work, Julia can also be used) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 227-0976-00L | Computational Psychiatry & Computational Psychosomatics Findet dieses Semester nicht statt. Information for UZH students: Enrolment to this course unit only possible at ETH Zurich. No enrolment to module BMT20002. Please mind the ETH enrolment deadlines for UZH students: Link | W | 2 KP | 4S | K. Stephan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This seminar deals with the development of clinically relevant computational tools and/or their application to psychiatry and psychosomatics. Complementary to the annual Computational Psychiatry Course, it serves to build bridges between computational scientists and clinicians and is designed to foster in-depth exchange, with ample time for discussion | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding strengths and weaknesses of current trends in the development of clinically relevant computational tools and their application to problems in psychiatry and psychosomatics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This seminar deals with the development of computational tools (e.g. generative models, machine learning) and/or their application to psychiatry and psychosomatics. The seminar includes (i) presentations by computational scientists and clinicians, (ii) group discussion with focus on methodology and clinical utility, (iii) self-study based on literature provided by presenters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Literature for additional self-study of the topics presented in this seminar will be provided by the presenters and will be available online at https://www.tnu.ethz.ch/en/teaching | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Participants are expected to be familiar with general principles of statistics (including Bayesian statistics) and have successfully completed the course “Computational Psychiatry” (Course number 227-0971-00L). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 252-0220-00L | Introduction to Machine Learning Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch | W | 8 KP | 4V + 2U + 1A | A. Krause, F. Yang | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course introduces the foundations of learning and making predictions based on data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course will introduce the foundations of learning and making predictions from data. We will study basic concepts such as trading goodness of fit and model complexitiy. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | - Linear regression (overfitting, cross-validation/bootstrap, model selection, regularization, [stochastic] gradient descent) - Linear classification: Logistic regression (feature selection, sparsity, multi-class) - Kernels and the kernel trick (Properties of kernels; applications to linear and logistic regression); k-nearest neighbor - Neural networks (backpropagation, regularization, convolutional neural networks) - Unsupervised learning (k-means, PCA, neural network autoencoders) - The statistical perspective (regularization as prior; loss as likelihood; learning as MAP inference) - Statistical decision theory (decision making based on statistical models and utility functions) - Discriminative vs. generative modeling (benefits and challenges in modeling joint vy. conditional distributions) - Bayes' classifiers (Naive Bayes, Gaussian Bayes; MLE) - Bayesian approaches to unsupervised learning (Gaussian mixtures, EM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Designed to provide a basis for following courses: - Advanced Machine Learning - Deep Learning - Probabilistic Artificial Intelligence - Seminar "Advanced Topics in Machine Learning" | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 252-0312-00L | Mobile Health and Activity Monitoring | W | 6 KP | 2V + 3A | C. Holz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Health and activity monitoring has become a key purpose of mobile & wearable devices, e.g., phones, watches, and rings. We will cover the phenomena they capture, i.e., user behavior, actions, and human physiology, as well as the sensors, signals, and methods for processing and analysis. For the exercise, students will receive a wristband to stream and analyze activity and health signals. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course will combine high-level concepts with low-level technical methods needed to sense, detect, and understand them. High-level: – sensing modalities for interactive systems – "activities" and "events" (exercises and other mechanical activities such as movements and resulting vibrations) – health monitoring (basic cardiovascular physiology) – affective computing (emotions, mood, personality) Lower-level: – sampling and filtering, time and frequency domains – cross-modal sensor systems, signal synchronization and correlation – event detection, classification, prediction using basic signal processing as well as learning-based methods – sensor types: optical, mechanical/acoustic, electromagnetic | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Health and activity monitoring has become a key purpose of mobile and wearable devices, including phones, (smart) watches, (smart) rings, (smart) belts, and other trackers (e.g., shoe clips, pendants). In this course, we will cover the fundamental aspects that these devices observe, i.e., user behavior, actions, and physiological dynamics of the human body, as well as the sensors, signals, and methods to capture, process, and analyze them. We will then cover methods for pattern extraction and classification on such data. The course will therefore touch on aspects of human activities, cardiovascular and pulmonary physiology, affective computing (recognizing, interpreting, and processing emotions), corresponding lower-level sensing systems (e.g., inertial sensing, optical sensing, photoplethysmography, eletrodermal activity, electrocardiograms) and higher-level computer vision-based sensing (facial expressions, motions, gestures), as well as processing methods for these types of data. The course will be accompanied by a group exercise project, in which students will apply the concepts and methods taught in class. Students will receive a wearable wristband device that streams IMU data to a mobile phone (code will be provided for receiving, storing, visualizing on the phone). Throughout the course and exercises, we will collect data of various human activities from the band, annotate them, analyze, classify, and interpret them. For this, existing and novel processing methods will be developed (plenty of related work exists), based on the collected data as well as existing datasets. We will also combine the band with signals obtained from the mobile phone to holistically capture and analyze health and activity data. Full details: https://teaching.siplab.org/mobile_health_activity_monitoring/2023/ Note: All lectures will be streamed live and recorded for later replay. Hybrid participation will be possible. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Copies of slides will be made available Lectures will be streamed live as well as recorded and made available online. More information on the course site: https://teaching.siplab.org/mobile_health_activity_monitoring/2023/ Note: All lectures will be streamed live and recorded for later replay. Hybrid participation will be possible. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be provided in the lecture | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 252-1424-00L | Models of Computation | W | 6 KP | 2V + 2U + 1A | M. Cook | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course surveys many different models of computation: Turing Machines, Cellular Automata, Finite State Machines, Graph Automata, Circuits, Tilings, Lambda Calculus, Fractran, Chemical Reaction Networks, Hopfield Networks, String Rewriting Systems, Tag Systems, Diophantine Equations, Register Machines, Primitive Recursive Functions, and more. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this course is to become acquainted with a wide variety of models of computation, to understand how models help us to understand the modeled systems, and to be able to develop and analyze models appropriate for new systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course surveys many different models of computation: Turing Machines, Cellular Automata, Finite State Machines, Graph Automata, Circuits, Tilings, Lambda Calculus, Fractran, Chemical Reaction Networks, Hopfield Networks, String Rewriting Systems, Tag Systems, Diophantine Equations, Register Machines, Primitive Recursive Functions, and more. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 261-5120-00L | Machine Learning for Health Care | W | 5 KP | 2V + 2A | V. Boeva, J. Vogt, M. Kuznetsova | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course will review the most relevant methods and applications of Machine Learning in Biomedicine, discuss the main challenges they present and their current technical problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | During the last years, we have observed a rapid growth in the field of Machine Learning (ML), mainly due to improvements in ML algorithms, the increase of data availability and a reduction in computing costs. This growth is having a profound impact in biomedical applications, where the great variety of tasks and data types enables us to get benefit of ML algorithms in many different ways. In this course we will review the most relevant methods and applications of ML in biomedicine, discuss the main challenges they present and their current technical solutions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course will consist of four topic clusters that will cover the most relevant applications of ML in Biomedicine: 1) Structured time series: Temporal time series of structured data often appear in biomedical datasets, presenting challenges as containing variables with different periodicities, being conditioned by static data, etc. 2) Medical notes: Vast amount of medical observations are stored in the form of free text, we will analyze stategies for extracting knowledge from them. 3) Medical images: Images are a fundamental piece of information in many medical disciplines. We will study how to train ML algorithms with them. 4) Genomics data: ML in genomics is still an emerging subfield, but given that genomics data are arguably the most extensive and complex datasets that can be found in biomedicine, it is expected that many relevant ML applications will arise in the near future. We will review and discuss current applications and challenges. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Data Structures & Algorithms, Introduction to Machine Learning, Statistics/Probability, Programming in Python, Unix Command Line Relation to Course 261-5100-00 Computational Biomedicine: This course is a continuation of the previous course with new topics related to medical data and machine learning. The format of Computational Biomedicine II will also be different. It is helpful but not essential to attend Computational Biomedicine before attending Computational Biomedicine II. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1217-00L | Rehabilitation Engineering I: Motor Functions | W | 4 KP | 2V + 1U | R. Riener, C. E. Awai | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | “Rehabilitation” is the (re)integration of an individual with a disability into society. Rehabilitation engineering is “the application of science and technology to ameliorate the handicaps of individuals with disability”. Such handicaps can be classified into motor, sensor, and cognitive disabilities. In general, one can distinguish orthotic and prosthetic methods to overcome these disabilities. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this course is to present classical and new technical principles as well as specific examples applied to compensate or enhance motor deficits. In the 1 h exercise the students will learn how to solve representative problems with computational methods applied to exoprosthetics, wheelchair dynamics, rehabilitation robotics and neuroprosthetics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Modern methods rely more and more on the application of multi-modal and interactive techniques. Multi-modal means that visual, acoustical, tactile, and kinaesthetic sensor channels are exploited to display information to the patient. Interaction means that the exchange of information and energy occurs bi-directionally between the rehabilitation device and the human being. Thus, the device cooperates with the patient rather than imposing an inflexible strategy (e.g., movement) upon the patient. These principles are recurrent in modern technological tools to support rehabilitation, including prosthesis, orthoses, powered exoskeletons, powered wheelchairs, therapy robots and virtual reality systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Books: Burdet, Etienne, David W. Franklin, and Theodore E. Milner. Human robotics: neuromechanics and motor control. MIT press, 2013. Krakauer, John W., and S. Thomas Carmichael. Broken movement: the neurobiology of motor recovery after stroke. MIT Press, 2017. Teodorescu, Horia-Nicolai L., and Lakhmi C. Jain, eds. Intelligent systems and technologies in rehabilitation engineering. CRC press, 2000. Winters, Jack M., and Patrick E. Crago, eds. Biomechanics and neural control of posture and movement. Springer Science & Business Media, 2012. Selected Journal Articles: Abbas, James J., and Robert Riener. "Using mathematical models and advanced control systems techniques to enhance neuroprosthesis function." Neuromodulation: Technology at the Neural Interface 4.4 (2001): 187-195. Basalp, Ekin, Peter Wolf, and Laura Marchal-Crespo. "Haptic training: which types facilitate (re) learning of which motor task and for whom Answers by a review." IEEE Transactions on Haptics (2021). Calabrò, Rocco Salvatore, et al. "Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?." Neurological Sciences 37.4 (2016): 503-514. Cooper, R. (1993) Stability of a wheelchair controlled by a human. IEEE Transactions on Rehabilitation Engineering 1, pp. 193-206. Gassert, Roger, and Volker Dietz. "Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective." Journal of neuroengineering and rehabilitation 15.1 (2018): 1-15. Laver, Kate E., et al. "Virtual reality for stroke rehabilitation." Cochrane database of systematic reviews 11 (2017). Marquez-Chin, Cesar, and Milos R. Popovic. "Functional electrical stimulation therapy for restoration of motor function after spinal cord injury and stroke: a review." Biomedical engineering online 19 (2020): 1-25. Miller, Larry E., Angela K. Zimmermann, and William G. Herbert. "Clinical effectiveness and safety of powered exoskeleton-assisted walking in patients with spinal cord injury: systematic review with meta-analysis." Medical devices (Auckland, NZ) 9 (2016): 455. Raspopovic, Stanisa. "Advancing limb neural prostheses." Science 370.6514 (2020): 290-291. Riener, R. (2013) Rehabilitation Robotics. Foundations and Trends in Robotics, Vol. 3, nos. 1-2, pp. 1-137. Riener, R., Lünenburger, L., Maier, I. C., Colombo, G., & Dietz, V. (2010). Locomotor training in subjects with sensori-motor deficits: An overview of the robotic gait orthosis Lokomat. Journal of Healthcare Engineering, 1(2), 197-216. Riener, R., Nef, T., Colombo, G. (2005) Robot-aided neurorehabilitation for the upper extremities. Medical & Biological Engineering & Computing 43(1), pp. 2-10. Sigrist, Roland, et al. "Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review." Psychonomic bulletin & review 20.1 (2013): 21-53. Xiloyannis, Michele, et al. "Soft Robotic Suits: State of the Art, Core Technologies, and Open Challenges." IEEE Transactions on Robotics (2021). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Target Group: Students of higher semesters and PhD students of - D-MAVT, D-ITET, D-INFK - Biomedical Engineering - Medical Faculty, University of Zurich Students of other departments, faculties, courses are also welcome | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1308-00L | Development Strategies for Medical Implants | W | 3 KP | 2V + 1U | J. Mayer-Spetzler, N. Mathavan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to development strategies for implantable devices considering the interdependencies of biocompatibility, clinical, regulatory, and economical requirements; discussion of state of the art and actual trends in orthopedics, sports medicine, cardiovascular surgery, and regenerative medicine (tissue engineering). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Primary considerations in implant development. Concept of structural and surface biocompatibility and its relevance for implant design and surgical technique. Understanding conflicting factors, e.g., clinical need, economics, and regulatory requirements. Tissue engineering concepts, their strengths, and weaknesses as current and future clinical solutions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Understanding of clinical and economic needs as guidelines for the development of medical implants; implant and implantation-related tissue reactions, biocompatible materials, and material processing technologies; implant testing and regulatory procedures; discussion of state-of-the-art and actual trends in implant development in sports medicine, spinal and cardio-vascular surgery; introduction to tissue engineering. Commented movies from surgeries will further illustrate selected topics. Seminar: Group seminars on selected controversial topics in implant development. Participation is mandatory. Planned excursions (limited availability, not mandatory, to be confirmed): Participation (as a visitor) in a life surgery (travel at own expense) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Script (electronically available): - presented slides - selected scientific papers for further reading | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Reference to key papers will be provided during the lectures. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Only Master's students; achieved Bachelor's degree is a pre-condition Admission to the lecture is based on a letter of motivation to the lecturer J. Mayer. The number of participants in the course is limited to 30 students in total. Students will be exposed to surgical movies which may cause emotional reactions. The viewing of the surgical movies is voluntary and is the student's responsibility. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 376-1397-00L | Orthopaedic Biomechanics | W | 3 KP | 2G | R. Müller, J. Schwiedrzik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is aimed at studying the mechanical and structural engineering of the musculoskeletal system alongside the analysis and design of orthopaedic solutions to musculoskeletal failure. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To apply engineering and design principles to orthopaedic biomechanics, to quantitatively assess the musculoskeletal system and model it, and to review rigid-body dynamics in an interesting context. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Engineering principles are very important in the development and application of quantitative approaches in biology and medicine. This course includes a general introduction to structure and function of the musculoskeletal system: anatomy and physiology of musculoskeletal tissues and joints; biomechanical methods to assess and quantify tissues and large joint systems. These methods will also be applied to musculoskeletal failure, joint replacement and reconstruction; implants; biomaterials and tissue engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Stored on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Orthopaedic Biomechanics: Mechanics and Design in Musculoskeletal Systems Authors: Donald L. Bartel, Dwight T. Davy, Tony M. Keaveny Publisher: Prentice Hall; Copyright: 2007 ISBN-10: 0130089095; ISBN-13: 9780130089090 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Lectures will be given in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1614-00L | Principles in Tissue Engineering | W | 3 KP | 2V | K. Maniura, M. Rottmar, M. Zenobi-Wong | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Fundamentals in blood coagulation; thrombosis, blood rheology, immune system, inflammation, foreign body reaction on the molecular level and the entire body are discussed. Applications of biomaterials for tissue engineering in different tissues are introduced. Fundamentals in medical implantology, in situ drug release, cell transplantation and stem cell biology are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding of molecular aspects for the application of biodegradable and biocompatible Materials. Fundamentals of tissue reactions (eg. immune responses) against implants and possible clinical consequences will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This class continues with applications of biomaterials and devices introduced in Biocompatible Materials I. Fundamentals in blood coagulation; thrombosis, blood rheology; immune system, inflammation, foreign body reaction on the level of the entire body and on the molecular level are introduced. Applications of biomaterials for tissue engineering in the vascular system, skeletal muscle, heart muscle, tendons and ligaments, bone, teeth, nerve and brain, and drug delivery systems are introduced. Fundamentals in medical implantology, in situ drug release, cell transplantation and stem cell biology are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts provided during the classes and references therin. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | The molecular Biology of the Cell, Alberts et al., 5th Edition, 2009. Principles in Tissue Engineering, Langer et al., 2nd Edition, 2002 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1712-00L | Finite Element Analysis in Biomedical Engineering | W | 3 KP | 2V | S. J. Ferguson, B. Helgason | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course provides an introduction to finite element analysis, with a specific focus on problems and applications from biomedical engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Finite element analysis is a powerful simulation method for the (approximate) solution of boundary value problems. While its traditional roots are in the realm of structural engineering, the methods have found wide use in the biomedical engineering domain for the simulation of the mechanical response of the human body and medical devices. This course provides an introduction to finite element analysis, with a specific focus on problems and applications from biomedical engineering. This domain offers many unique challenges, including multi-scale problems, multi-physics simulation, complex and non-linear material behaviour, rate-dependent response, dynamic processes and fluid-solid interactions. Theories taught are reinforced through practical applications in self-programmed and commercial simulation software, using e.g. MATLAB, ANSYS, FEBIO. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | (Theory) The Finite Element and Finite Difference methods Gallerkin, weighted residuals, discretization (Theory) Mechanical analysis of structures Trusses, beams, solids and shells, DOFs, hand calculations of simple FE problems, underlying PDEs (Application) Mechanical analysis of structures Truss systems, beam systems, 2D solids, meshing, organ level analysis of bones (Theory and Application) Mechanical analysis of structures Micro- and multi-scale analysis, voxel models, solver limitations, large scale solvers (Theory) Non-linear mechanical analysis of structures Large strain, Newton-Rhapson, plasticity (Application) Non-linear mechanical analysis of structures Plasticity (bone), hyperelasticity, viscoelasticity (Theory and Application) Contact analysis Friction, bonding, rough contact, implants, bone-cement composites, pushout tests (Theory) Flow in Porous Media Potential problems, Terzhagi's consolidation (Application) Flow in Porous Media Confined and unconfined compression of cartilage (Theory) Heat Transfer and Mass Transport Diffusion, conduction and convection, equivalency of equations (Application) Heat Transfer and Mass Transport Sequentially-coupled poroelastic and transport models for solute transport (Theory) Computational Biofluid Dynamics Newtonian vs. Non-Newtonian fluid, potential flow (Application) Computational Biofluid Dynamics Flow between micro-rough parallel plates | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts consisting of (i) lecturers' script, (ii) selected excerpts from relevant textbooks, (iii) selected excerpts from theory manuals of commercial simulation software, (iv) relevant scientific publications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Familiarity with basic numerical methods. Programming experience with MATLAB. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1984-00L | Lasers in Medicine Findet dieses Semester nicht statt. | W | 3 KP | 3G | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Fragen wie "Was ist ein Laser, wie funktioniert er und was macht ihn so interessant für die Medizin?", aber auch "Wie breitet sich Licht im Gewebe aus und welche Wechselwirkungen treten dabei auf?" sollen beantwortet werden. Speziell wird auf therapeutische, diagnostische und bildgebende Anwendungen anhand von ausgewählten Beispielen eingegangen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Sie wissen wie ein Laser funktioniert und wie er aufgebaut ist und verstehen die physikalischen Prinzipien eines Lasers. Sie kennen die Eigenschaften von Laserlicht und wie diese für medizinische Zwecke eingesetzt werden können. Sie können unterschiedlichen Laser-Gewebe-Wechselwirkungen erklären und wissen welche Parameter diese beeinflussen. Sie können erklären, was Auflösung, Kontrast und Vergrösserung bedeutet. Sie sind in der Lage eine Laserschutzbrille für Ihr Lasersystem zu bestellen. Sie sind in der Lage für eine gezielte klinische Anwendung die richtigen Laserparameter zu bestimmen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Die Anwendung des Lasers in der Medizin gewinnt zunehmend dort an Bedeutung, wo seine speziellen Eigenschaften gezielt zur berührungslosen, selektiven und spezifischen Wirkung auf Weich- und Hartgewebe für minimal invasive Therapieformen oder zur Eröffnung neuer therapeutischer und diagnostischer Methoden eingesetzt werden können. Grundlegende Arbeiten zum Verständnis der Lichtausbreitung im Gewebe (Absorptions-, Reflexions- und Transmissionsvermögen) und die unterschiedlichen Formen der Wechselwirkung (photochemische, thermische, ablative und optomechanische Wirkung) werden eingehend behandelt. Speziell wird auf den Einfluss der Wellenlänge und der Bestrahlungszeit auf den Wechselwirkungsmechanismus eingegangen. Die unterschiedlichen medizinisch genutzten Lasertypen und Strahlführungssysteme werden hinsichtlich ihres Einsatzes im Bereich der Medizin anhand ausgesuchter Anwendungsbeispiele diskutiert. Neben den therapeutischen Wirkungen wird auf den Einsatz des Lasers in der medizinischen Diagnostik (z.B. Tumor-Fluoreszenzdiagnostik, Bildgebung) eingegangen. Die beim Einsatz des Lasers in der Medizin erforderlichen Schutzmassnahmen werden diskutiert. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | wird im Internet bereitgestellt (ILIAS) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - M. Born, E. Wolf, "Principles of Optics", Pergamon Press - B.E.A. Saleh, M.C. Teich, "Fundamentals of Photonics", John Wiley and Sons, Inc. - A.E. Siegman, "Lasers", University Science Books - O. Svelto, "Principles of Lasers", Plenum Press - J. Eichler, T. Seiler, "Lasertechnik in der Medizin", Springer Verlag - M.H. Niemz, "Laser-Tissue Interaction", Springer Verlag - A.J. Welch, M.J.C. van Gemert, "Optical-thermal response of laser-irradiated tissue", Plenum Press | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 402-0343-00L | Physics Against Cancer: The Physics of Imaging and Treating Cancer Fachstudierende UZH müssen das Modul PHY361 direkt an der UZH buchen. | W | 6 KP | 2V + 1U | A. J. Lomax, U. Schneider | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Radiotherapy is a rapidly developing and technology driven medical discipline that is heavily dependent on physics and engineering. In this lecture series, we will review and describe some of the current developments in radiotherapy, particularly from the physics and technological view point, and will indicate in which direction future research in radiotherapy will lie. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Radiotherapy is a rapidly developing and technology driven medical discipline that is heavily dependent on physics and engineering. In the last few years, a multitude of new techniques, equipment and technology have been introduced, all with the primary aim of more accurately targeting and treating cancerous tissues, leading to a precise, predictable and effective therapy technique. In this lecture series, we will review and describe some of the current developments in radiotherapy, particularly from the physics and technological view point, and will indicate in which direction future research in radiotherapy will lie. Our ultimate aim is to provide the student with a taste for the critical role that physics plays in this rapidly evolving discipline and to show that there is much interesting physics still to be done. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The lecture series will begin with a short introduction to radiotherapy and an overview of the lecture series (lecture 1). Lecture 2 will cover the medical imaging as applied to radiotherapy, without which it would be impossible to identify or accurately calculate the deposition of radiation in the patient. This will be followed by a detailed description of the treatment planning process, whereby the distribution of deposited energy within the tumour and patient can be accurately calculated, and the optimal treatment defined (lecture 3). Lecture 4 will follow on with this theme, but concentrating on the more theoretical and mathematical techniques that can be used to evaluate different treatments, using mathematically based biological models for predicting the outcome of treatments. The role of physics modeling, in order to accurately calculate the dose deposited from radiation in the patient, will be examined in lecture 5, together with a review of mathematical tools that can be used to optimize patient treatments. Lecture 6 will investigate a rather different issue, that is the standardization of data sets for radiotherapy and the importance of medical data bases in modern therapy. In lecture 7 we will look in some detail at one of the most advanced radiotherapy delivery techniques, namely Intensity Modulated Radiotherapy (IMRT). In lecture 8, the two topics of imaging and therapy will be somewhat combined, when we will describe the role of imaging in the daily set-up and assessment of patients. Lecture 9 follows up on this theme, in which a major problem of radiotherapy, namely organ motion and changes in patient and tumour geometry during therapy, will be addressed, together with methods for dealing with such problems. Finally, in lectures 10-11, we will describe in some of the multitude of different delivery techniques that are now available, including particle based therapy, rotational (tomo) therapy approaches and robot assisted radiotherapy. In the final lecture, we will provide an overview of the likely avenues of research in the next 5-10 years in radiotherapy. The course will be rounded-off with an opportunity to visit a modern radiotherapy unit, in order to see some of the techniques and delivery methods described in the course in action. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Although this course is seen as being complimentary to the Medical Physics I and II course of Dr Manser, no previous knowledge of radiotherapy is necessarily expected or required for interested students who have not attended the other two courses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 402-0673-00L | Physics in Medical Research: From Humans to Cells | W | 6 KP | 2V + 1U | B. K. R. Müller | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The aim of this lecture series is to introduce the role of physics in state-of-the-art medical research and clinical practice. Topics to be covered range from applications of physics in medical implant technology and tissue engineering, through imaging technology, to its role in interventional and non-interventional therapies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The lecture series is focused on applying knowledge from physics in diagnosis, planning, and therapy close to clinical practice and fundamental medical research. Beside a general overview, the lectures give a deep insight into a very few selected techniques, which will help the students to apply the knowledge to a broad range of related techniques. In particular, the lectures will elucidate the physics behind the X-ray imaging currently used in clinical environment and contemporary high-resolution developments. It is the goal to visualize and quantify microstructures of human tissues and implants as well as their interface. Physicists in medicine are working on modeling and simulation. Based on the vascular structure in cancerous and healthy tissues, the characteristic approaches in computational physics to develop strategies against cancer are presented. In order to deliberately destroy cancerous tissue, heat can be supplied or extracted in different manner: cryotherapy (heat conductivity in anisotropic, viscoelastic environment), radiofrequency treatment (single and multi-probe), laser application, and proton therapy. Mechanical stimuli can drastically influence soft and hard tissue behavior. The students should realize that a physiological window exists, where a positive tissue response is expected and how the related parameter including strain, frequency, and resting periods can be selected and optimized for selected tissues such as bone. For the treatment of severe incontinence, we are developing artificial smart muscles. The students should have a critical look at promising solutions and the selection procedure as well as realize the time-consuming and complex way to clinical practice. The course will be completed by relating the numerous examples and a common round of questions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This lecture series will cover the following topics: Physics in Medical Research: From humans to cells - introduction and overview Hard X-ray-based computed tomography in clinics and related research Conventional microtomography for tissue and implant characterization Synchrotron radiation-based tomography of medically relevant objects Comparing microtomography in absorption- and phase-contrast modes Tomographic imaging of cells and subcellular structures Physical approaches in medical imaging Unconventional approaches in hard X-ray imaging: Iterative reconstruction for laminography Quantitative evaluation of medically relevant, three-dimensional data Nondestructive imaging of unique objects: Physicists support museum science From open surgery to non-invasive interventions – role of medical imaging Artificial muscles for treating severe incontinence Applying physics in medicine: Benefitting patients | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | http://www.bmc.unibas.ch/education/ETH_Zurich.phtml login and password to be provided during the lecture | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students from other departments are very welcome to join and gain insight into a variety of sophisticated techniques for the benefit of patients. No special knowledge is required. Nevertheless, gaps in basic physical knowledge will require additional efforts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 465-0952-00L | Biomedical Photonics | W | 3 KP | 2V | M. Frenz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture introduces the principles of light generation, light propagation in tissue and detection of light and its therapeutic and diagnostic application in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The students are expected to aquire a basic understanding of the fundamental physical principles within biomedical photonics. In particular, they will develop a broad skill set for research in fundamentals of light-tissue interaction, technologies such as microscopy, lasers and fiber optics and issues related to light applications in therapeutics and diagnostics in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Optics always was strongly connected to the observation and interpretation of physiological phenomenon. The basic knowledge of optics for example was initially gained by studying the function of the human eye. Nowadays, biomedical optics is an independent research field that is no longer restricted to the observation of physiological processes but studies diagnostic and therapeutic problems in medicine. A basic prerequisite for applying optical techniques in medicine is the understanding of the physical properties of light, the light propagation in and its interaction with tissue. The lecture gives inside into the generation, propagation and detection of light, its propagation in tissue and into selected optical applications in medicine. Various optical imaging techniques (optical coherence tomography or optoacoustics) as well as therapeutic laser applications (refractive surgery, photodynamic therapy or nanosurgery) will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | will be provided via Internet (Ilias) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - M. Born, E. Wolf, "Principles of Optics", Pergamon Press - B.E.A. Saleh, M.C. Teich, "Fundamentals of Photonics", John Wiley and Sons, Inc. - O. Svelto, "Principles of Lasers", Plenum Press - J. Eichler, T. Seiler, "Lasertechnik in der Medizin", Springer Verlag - M.H. Niemz, "Laser-Tissue Interaction", Springer Verlag - A.J. Welch, M.J.C. van Gemert, "Optical-thermal response of laser-irradiated tissue", Plenum Press | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Language of instruction: English This is the same course unit (465-0952-00L) with former course title "Medical Optics". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Biologiefächer | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0398-10L | Physiology and Anatomy for Biomedical Engineers II | W | 3 KP | 2G | M. Wyss | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course offers an introduction into the structure and function of the human body, and how these are interlinked. The visualization of anatomy is also supported by 3D-animation. Medical imaging modalities such as Computed Tomography and Magnetic Resonance imaging will be discussed in passing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be able to identify and enumerate important anatomical structures to describe basic physiological processes of the human body to use a 3d animation database/software to use 'anatomical language' to retrieve anatomical structures to understand basic medical terminology | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Digestive system, nutrition and digestion Thermal balance and thermoregulation Kidneys and urinary system Endocrine system and hormones Reproductive System Basic anatomy of neck, face and cranium Basics of neurophysiology and neuroanatomy Sensory organs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes and handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Silbernagl S., Despopoulos A. Color Atlas of Physiology; Thieme 2008 Faller A., Schuenke M. The Human Body; Thieme 2004 Netter F. Atlas of human anatomy; Elsevier 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0949-10L | Biological Methods for Engineers (Advanced Lab) Limited number of participants. Students of the MSc in Biomedical Engineering have priority. | W | 4 KP | 9P | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The 2 week-long, full-time block course covers basic laboratory skills and safety, cell culture, protein analysis, RNA/DNA Isolation and RT-PCR. Each topic will be introduced, followed by practical work at the bench. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this laboratory course is to give students practical exposure to basic techniques of cell and molecular biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The goal of this laboratory course is to give students practical exposure to basic techniques of cell and molecular biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Enrollment is limited and preference given to students in the Masters of Biomedical Engineering program. Due to extensive overlap with "Biological Methods for Engineers" (Basic Lab; 227-0949-00L during the autumn semester), students can only take one of the courses (Basic Lab or Extended Lab). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0945-11L | Cell and Molecular Biology for Engineers Students who have taken the semester course 227-0945-00L Cell and Molecular Biology for Engineers I, 227-0945-10L Cell and Molecular Biology for Engineers II or the year-long course before FS23 cannot earn credit points for this course. | W | 6 KP | 4G | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course gives an introduction into cellular and molecular biology, specifically for students with a background in engineering. The focus will be on the basic organization of eukaryotic cells, molecular mechanisms and cellular functions. Textbook knowledge will be combined with results from recent research and technological innovations in biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After completing this course, engineering students will be able to apply their previous training in the quantitative and physical sciences to modern biology. Students will also learn the principles how biological models are established, and how these models can be tested. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Lectures will include the following topics: DNA, chromosomes, genome engineering, RNA, proteins, genetics, synthetic biology, gene expression, membrane structure and function, vesicular traffic, cellular communication, energy conversion, cytoskeleton, cell cycle, cellular growth, apoptosis, autophagy, cancer and stem cells. In addition, 3 journal clubs will be held, where recent publications will be discussed. For each journal club, students (alone or in groups of up to four students) have to write a summary and discussion of the publication. These written documents will be graded and count as 30% for the final grade. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Scripts of all lectures will be available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | "Molecular Biology of the Cell" (7th international student edition) by Alberts, Heald, Johnson, Morgan, Raff, Roberts, and Walter. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Bioimaging | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kernfächer der Vertiefung Während des Studiums müssen mindestens 12 KP aus Kernfächern einer Vertiefung (Track) erreicht werden. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0946-00L | Molecular Imaging - Basic Principles and Biomedical Applications | W | 3 KP | 2V + 1A | D. Razansky | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Concept: What is molecular imaging. Discussion/comparison of the various imaging modalities used in molecular imaging. Design of target specific probes: specificity, delivery, amplification strategies. Biomedical Applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Molecular Imaging is a rapidly emerging discipline that translates concepts developed in molecular biology and cellular imaging to in vivo imaging in animals and ultimatly in humans. Molecular imaging techniques allow the study of molecular events in the full biological context of an intact organism and will therefore become an indispensable tool for biomedical research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Concept: What is molecular imaging. Discussion/comparison of the various imaging modalities used in molecular imaging. Design of target specific probes: specificity, delivery, amplification strategies. Biomedical Applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0948-00L | Magnetic Resonance Imaging in Medicine | W | 4 KP | 3G | S. Kozerke, M. Weiger Senften | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to magnetic resonance imaging and spectroscopy, encoding and contrast mechanisms and their application in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understand the basic principles of signal generation, image encoding and decoding, contrast manipulation and the application thereof to assess anatomical and functional information in-vivo. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Introduction to magnetic resonance imaging including basic phenomena of nuclear magnetic resonance; 2- and 3-dimensional imaging procedures; fast and parallel imaging techniques; image reconstruction; pulse sequences and image contrast manipulation; equipment; advanced techniques for identifying activated brain areas; perfusion and flow; diffusion tensor imaging and fiber tracking; contrast agents; localized magnetic resonance spectroscopy and spectroscopic imaging; diagnostic applications and applications in research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | D. Meier, P. Boesiger, S. Kozerke Magnetic Resonance Imaging and Spectroscopy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Wahlfächer der Vertiefung Diese Fächer sind für die Vertiefung in Bioimaging besonders empfohlen. Bei abweichender Fächerwahl konsultieren Sie bitte den Track Adviser. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0967-00L | Computational Neuroimaging Clinic | W | 3 KP | 2V | K. Stephan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This seminar teaches problem solving skills for computational neuroimaging (incl. associated computational analyses of behavioural data). It deals with a variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich, e.g., concerning mass-univariate and multivariate analyses of fMRI/EEG/OPM data, or generative models of fMRI/EEG/OPM, or behavioural data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | 1. Consolidation of theoretical knowledge (obtained in one of the following courses: Methods & models for fMRI data analysis, Translational Neuromodeling, Computational Psychiatry) in a practical setting. 2. Acquisition of practical problem solving strategies for computational modeling of neuroimaging data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This seminar teaches problem solving skills for computational neuroimaging (incl. associated computational analyses of behavioural data). It deals with a variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich, e.g., concerning mass-univariate and multivariate analyses of fMRI/EEG/OPM data, or generative models of fMRI/EEG/OPM or behavioural data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The participants are expected to be familiar with general principles of statistics and have successfully completed at least one of the following courses: Methods & models for fMRI data analysis, Translational Neuromodeling, Computational Psychiatry | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 151-0622-00L | Measuring on the Nanometer Scale | W | 2 KP | 2G | A. Stemmer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Conventional techniques to analyze nano structures using photons and electrons: light microscopy with dark field and differential interference contrast; scanning electron microscopy, transmission electron microscopy. Interferometric and other techniques to measure distances. Optical traps. Foundations of scanning probe microscopy: tunneling, atomic force, optical near-field. Interactions between specimen and probe. Current trends, including spectroscopy of material parameters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Slides available via Moodle (registered participants only). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0125-00L | Optics and Photonics | W | 6 KP | 2V + 2U | J. Leuthold | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This lecture covers both - the fundamentals of "Optics" such as e.g. "ray optics", "coherence", the "Planck law", the "reciprocity theorem" or the "Einstein relations" but also the fundamentals of "Photonics" on the generation (the laser), processing, transmission and detection of photons. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | A sound base for work in the field of optics and photonics will be conveyed. Key principles of optics will the thaught. The lecture passes on the essentials for work with free-space optics or waveguide optics. In addition important optical devices will be discussed. Among them are e.g. optical filters, copulers (MMI-couplers,...), Holograms,... . | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Chapter 1: Ray Optics Chapter 2: Electromagnetic Optics Chapter 3: Polarization Chapter 4: Coherence and Interference Chapter 5: Fourier Optics and Diffraction Chapter 6: Guided Wave Optics Chapter 7: Optical Fibers Chapter 8: The Laser | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes will be handed out. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Fundamentals of Electromagnetic Fields (Maxwell Equations) & Bachelor Lectures on Physics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0390-00L | Elements of Microscopy | W | 4 KP | 3G | M. Stampanoni, G. Csúcs, A. Sologubenko | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture reviews the basics of microscopy by discussing wave propagation, diffraction phenomena and aberrations. It gives the basics of light microscopy, introducing fluorescence, wide-field, confocal and multiphoton imaging. It further covers 3D electron microscopy and 3D X-ray tomographic micro and nanoimaging. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Solid introduction to the basics of microscopy, either with visible light, electrons or X-rays. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | It would be impossible to imagine any scientific activities without the help of microscopy. Nowadays, scientists can count on very powerful instruments that allow investigating sample down to the atomic level. The lecture includes a general introduction to the principles of microscopy, from wave physics to image formation. It provides the physical and engineering basics to understand visible light, electron and X-ray microscopy. During selected exercises in the lab, several sophisticated instrument will be explained and their capabilities demonstrated. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Available Online. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | E. Konukoglu, E. Erdil, M. A. Reyes Aguirre | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | It is the objective of this lecture to introduce the basic concepts used in Medical Image Analysis. In particular the lecture focuses on shape representation schemes, segmentation techniques, machine learning based predictive models and various image registration methods commonly used in Medical Image Analysis applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This lecture aims to give an overview of the basic concepts of Medical Image Analysis and its application areas. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Prerequisites: Basic concepts of mathematical analysis and linear algebra. Preferred: Basic knowledge of computer vision and machine learning would be helpful. The course will be held in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0396-00L | EXCITE Interdisciplinary Summer School on Bio-Medical Imaging The school admits 60 MSc or PhD students with backgrounds in biology, chemistry, mathematics, physics, computer science or engineering based on a selection process. Students have to apply for acceptance. To apply a curriculum vitae and an application letter need to be submitted. Further information can be found at: www.excite.ethz.ch. | W | 4 KP | 6G | S. Kozerke, B. Menze, M. P. Wolf, U. Ziegler Lang | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Two-week summer school organized by EXCITE (Center for EXperimental & Clinical Imaging TEchnologies Zurich) on biological and medical imaging. The course covers X-ray imaging, magnetic resonance imaging, nuclear imaging, ultrasound imaging, optoacoustic imaging, infrared and optical microscopy, electron microscopy, image processing and analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students understand basic concepts and implementations of biological and medical imaging. Based on relative advantages and limitations of each method they can identify preferred procedures and applications. Common foundations and conceptual differences of the methods can be explained. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Two-week summer school on biological and medical imaging. The course covers concepts and implementations of X-ray imaging, magnetic resonance imaging, nuclear imaging, ultrasound imaging, optoacoustic imaging, infrared and optical microscopy and electron microscopy. Multi-modal and multi-scale imaging and supporting technologies such as image analysis and modeling are discussed. Dedicated modules for physical and life scientists taking into account the various backgrounds are offered. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Presentation slides, Web links | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The school admits 60 MSc or PhD students with backgrounds in biology, chemistry, mathematics, physics, computer science or engineering based on a selection process. To apply a curriculum vitae, a statement of purpose and applicants references need to be submitted. Further information can be found at: http://www.excite.ethz.ch/education/summer-school.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0424-00L | Model- and Learning-Based Inverse Problems in Imaging | W | 4 KP | 2V + 1P | V. Vishnevskiy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Reconstruction is an inverse problem which estimates images from noisy measurements. Model-based reconstructions use analytical models of the imaging process and priors. Data-based methods directly approximate inversion using training data. Combining these two approaches yields physics-aware neural nets and state-of-the-art imaging accuracy (MRI, US, CT, microscopy, non-destructive imaging). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this course is to introduce the mathematical models of imaging experiments and practice implementation of numerical methods to solve the corresponding inverse problem. Students will learn how to improve reconstruction accuracy by introducing prior knowledge in the form of regularization models and training data. Furthermore, students will practice incorporating imaging model knowledge into deep neural networks. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course is based on following fundamental fields: (i) numerical linear algebra, (ii) mathematical statistics and learning theory, (iii) convex optimization and (iv) signal processing. The first part of the course introduces classical linear and nonlinear methods for image reconstruction. The second part considers data-based regularization and covers modern deep learning approaches to inverse problems in imaging. Finally, we introduce advances in the actively developing field of experimental design in biomedical imaging (i.e. how to conduct an experiment in a way to enable the most accurate reconstruction). 1. Introduction: Examples of inverse problems, general introduction. Refresh prerequisites. 2. Linear algebra in imaging: Refresh prerequisites. Demonstrate properties of operators employed in imaging. 3. Linear inverse problems and regularization: Classical theory of inverse problems. Introduce notion of ill-posedness and regularization. 3. Compressed sensing: Sparsity, basis-CS, TV-CS. Notion of analysis and synthesis forms of reconstruction problems. Application of PGD and ADMM to reconstruction. 4. Advanced priors and model selection: Total generalized variation, GMM priors, vectorial TV, low-rank, and tensor models. Stein's unbiased risk estimator. 5. Dictionary and prior learning: Classical dictionary learning. Gentle intro to machine learning. A lot of technical details about patch-models. 6. Deep learning in image reconstruction: Generic convolutional-NN models (automap, residual filtering, u-nets). Talk about the data generation process. Characterized difference between model- and data-based reconstruction methods. Mode averaging. 7. Loop unrolling and physics-aware networks for reconstruction: Autograd, Variational Networks, a lot of examples and intuition. Show how to use them efficiently, e.g. adding preconditioners, attention, etc. 8. Generative models and uncertainty quantification: Amortized posterior, variational autoencoders, adversarial learning. Estimation uncertainty quantification. 9. Inversible networks for estimation: Gradient flows in networks, inversible neural networks for estimation problems. 10. Experimental design in imaging: Acquisition optimization for continuous models. How far can we exploit autograd? 11. Signal sampling optimization in MRI. Reinforcement learning: Acquisition optimization for discrete models. Reinforce and policy gradients, variance minimization for discrete variables (RELAX, REBAR). Cartesian under-sampling pattern design 12. Summary and exam preparation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture slides with references will be provided during the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students are expected to know the basics of (i) numerical linear algebra, (ii) applied methods of convex optimization, (iii) computational statistics, (iv) Matlab and Python. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0455-00L | Terahertz: Technology and Applications Findet dieses Semester nicht statt. | W | 5 KP | 3G + 3A | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This block course will provide a solid foundation for understanding physical principles of THz applications. We will discuss various building blocks of THz technology - components dealing with generation, manipulation, and detection of THz electromagnetic radiation. We will introduce THz applications in the domain of imaging, sensing, communications, non-destructive testing and evaluations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This is an introductory course on Terahertz (THz) technology and applications. Devices operating in THz frequency range (0.1 to 10 THz) have been increasingly studied in the recent years. Progress in nonlinear optical materials, ultrafast optical and electronic techniques has strengthened research in THz application developments. Due to unique interaction of THz waves with materials, applications with new capabilities can be developed. In theory, they can penetrate somewhat like X-rays, but are not considered harmful radiation, because THz energy level is low. They should be able to provide resolution as good as or better than magnetic resonance imaging (MRI), possibly with simpler equipment. Imaging, very-high bandwidth communication, and energy harvesting are the most widely explored THz application areas. We will study the basics of THz generation, manipulation, and detection. Our emphasis will be on the physical principles and applications of THz in the domain of imaging, sensing, communications, non-destructive testing and evaluations. The second part of the block course will be a short project work related to the topics covered in the lecture. The learnings from the project work should be presented in the end. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | PART I: - INTRODUCTION - Chapter 1: Introduction to THz Physics Chapter 2: Components of THz Technology - THz TECHNOLOGY MODULES - Chapter 3: THz Generation Chapter 4: THz Detection Chapter 5: THz Manipulation - APPLICATIONS - Chapter 6: THz Imaging / Sensing / Communication Chapter 7: THz Non-destructive Testing Chapter 8: THz Applications in Plastic & Recycling Industries PART 2: - PROJECT WORK - Short project work related to the topics covered in the lecture. Short presentation of the learnings from the project work. Full guidance and supervision will be given for successful completion of the short project work. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Soft-copy of lectures notes will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - Yun-Shik Lee, Principles of Terahertz Science and Technology, Springer 2009 - Ali Rostami, Hassan Rasooli, and Hamed Baghban, Terahertz Technology: Fundamentals and Applications, Springer 2010 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Basic foundation in physics, particularly, electromagnetics is required. Students who want to refresh their electromagnetics fundamentals can get additional material required for the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0966-00L | Quantitative Big Imaging: From Images to Statistics | W | 4 KP | 2V + 1U | P. A. Kaestner, M. Stampanoni | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture focuses on the challenging task of extracting robust, quantitative metrics from imaging data and is intended to bridge the gap between pure signal processing and the experimental science of imaging. The course will focus on techniques, scalability, and science-driven analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | 1. Introduction of applied image processing for research science covering basic image processing, quantitative methods, and statistics. 2. Understanding of imaging as a means to accomplish a scientific goal. 3. Ability to apply quantitative methods to complex 3D data to determine the validity of a hypothesis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Imaging is a well established field and is rapidly growing as technological improvements push the limits of resolution in space, time, material and functional sensitivity. These improvements have meant bigger, more diverse datasets being acquired at an ever increasing rate. With methods varying from focused ion beams to X-rays to magnetic resonance, the sources for these images are exceptionally heterogeneous; however, the tools and techniques for processing these images and transforming them into quantitative, biologically or materially meaningful information are similar. The course consists of equal parts theory and practical analysis of first synthetic and then real imaging datasets. Basic aspects of image processing are covered such as filtering, thresholding, and morphology. From these concepts a series of tools will be developed for analyzing arbitrary images in a very generic manner. Specifically a series of methods will be covered, e.g. characterizing shape, thickness, tortuosity, alignment, and spatial distribution of material features like pores. From these metrics the statistics aspect of the course will be developed where reproducibility, robustness, and sensitivity will be investigated in order to accurately determine the precision and accuracy of these quantitative measurements. A major emphasis of the course will be scalability and the tools of the 'Big Data' trend will be discussed and how cluster, cloud, and new high-performance large dataset techniques can be applied to analyze imaging datasets. In addition, given the importance of multi-scale systems, a data-management and analysis approach based on modern databases will be presented for storing complex hierarchical information in a flexible manner. Finally as a concluding project the students will apply the learned methods on real experimental data from the latest 3D experiments taken from either their own work / research or partnered with an experimental imaging group. The course provides the necessary background to perform the quantitative evaluation of complicated 3D imaging data in a minimally subjective or arbitrary manner to answer questions coming from the fields of physics, biology, medicine, material science, and paleontology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Available online. https://imaginglectures.github.io/Quantitative-Big-Imaging-2023/weeklyplan.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be indicated during the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Ideally, students will have some familiarity with basic manipulation and programming in languages like Python, Matlab, or R. Interested students who are worried about their skill level in this regard are encouraged to contact Anders Kaestner directly (anders.kaestner@psi.ch). More advanced students who are familiar with Python, C++, (or in some cases Java) will have to opportunity to develop more of their own tools. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 227-0970-01L | Theoretical Foundations of Magnetic Resonance Imaging Sequences Findet dieses Semester nicht statt. | W | 2 KP | 2V | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | We want to study Magnetic Resonance Imaging from a theoretical perspective by deriving solutions to the Bloch equations and interpreting them in an imaging context. We will cover basic transformations, analytical and numerical solutions to key sequence building blocks, the principles of Fourier imaging, and derive extended phase graphs to describe SSFP sequences. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | 1. Understand the basic properties of solutions to the Bloch Equations and their implications for MR sequence and system design 2. Apply learned solution techniques to obtain analytical or numerical solutions to arbitrary pulse sequences 3. Analyze and interpret theoretical solutions in the context of MR imaging. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | 1.Basics of MRI: System Definition, Magnetization Dynamics, Signal 2.Transformation Bloch Equations (Homogenization, Rotating Frame, Complex Basis) 3. Rotation Operator Algorithm 4. RF Pulse 1: Off-Resonant Hard-Pulse 5. MR Sequences 1: Free Induction Decay and Spin Echo 6 .k-Space: Image Formation, Aliasing, Bandwidth, Point-Spread-Function 7. Steady-State Sequences: Extended Phase Graphs 8. MRI Sequences 2: Gradient-Spoiled and balanced Steady-State Free-Precession 9. RF Pulse 2: Shaped RF Pulses for Slice Selection, Hard-Pulse and Small Tip-Angle Approximation" | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Visualizer Notes will be distributed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students are expected to know the basics of linear algebra and analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0973-00L | Translational Neuromodeling | W | 8 KP | 3V + 2U + 1A | K. Stephan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course provides an introduction to Translational Neuromodeling (the development of computational assays of neuronal and cognitive processes) and their application to concrete clinical questions (Computational Psychiatry/Psychosomatics). It focuses on a generative modeling strategy and teaches (hierarchical) Bayesian models of neuroimaging data and behaviour, incl. exercises and project work. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To obtain an understanding of the goals, concepts and methods of Translational Neuromodeling and Computational Psychiatry/Psychosomatics, particularly with regard to Bayesian models of neuroimaging (fMRI, EEG) and behavioural data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course provides a systematic introduction to Translational Neuromodeling (the development of computational assays of neuronal and cognitive processes) and their application to concrete clinical questions (Computational Psychiatry/Psychosomatics). The first part of the course will introduce disease concepts from psychiatry and psychosomatics, their history, and clinical priority problems. The second part of the course concerns computational modeling of neuronal and cognitive processes for clinical applications. A particular focus is on Bayesian methods and generative models, for example, dynamic causal models for inferring neuronal processes from neuroimaging data, and hierarchical Bayesian models for inference on cognitive processes from behavioural data. The course discusses the mathematical and statistical principles behind these models, illustrates their application to various psychiatric diseases, and outlines a general research strategy based on generative models. Lecture topics include: 1. Introduction to Translational Neuromodeling and Computational Psychiatry/Psychosomatics 2. Psychiatric nosology 3. Pathophysiology of psychiatric disease mechanisms 4. Principles of Bayesian inference and generative modeling 5. Variational Bayes (VB) 6. Bayesian model selection 7. Markov Chain Monte Carlo techniques (MCMC) 8. Bayesian frameworks for understanding psychiatric and psychosomatic diseases 9. Generative models of fMRI data 10. Generative models of electrophysiological data 11. Generative models of behavioural data 12. Computational concepts of schizophrenia and depression 13. Generative embedding: Model-based predictions about individual patients Practical exercises include mathematical derivations and the implementation of specific models and inference methods. In additional project work, students are required to either develop a novel generative model (and demonstrate its properties in simulations) or devise novel applications of an existing model to empirical data in order to address a clinical question. Group work (up to 3 students) is required. Please note that some of the exercises involve the use of open source software in Matlab. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | See TNU website: https://www.tnu.ethz.ch/en/teaching | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Good knowledge of principles of statistics, good programming skills (the majority of the open source software tools used is in MATLAB; for project work, Julia can also be used) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 227-0976-00L | Computational Psychiatry & Computational Psychosomatics Findet dieses Semester nicht statt. Information for UZH students: Enrolment to this course unit only possible at ETH Zurich. No enrolment to module BMT20002. Please mind the ETH enrolment deadlines for UZH students: Link | W | 2 KP | 4S | K. Stephan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This seminar deals with the development of clinically relevant computational tools and/or their application to psychiatry and psychosomatics. Complementary to the annual Computational Psychiatry Course, it serves to build bridges between computational scientists and clinicians and is designed to foster in-depth exchange, with ample time for discussion | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding strengths and weaknesses of current trends in the development of clinically relevant computational tools and their application to problems in psychiatry and psychosomatics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This seminar deals with the development of computational tools (e.g. generative models, machine learning) and/or their application to psychiatry and psychosomatics. The seminar includes (i) presentations by computational scientists and clinicians, (ii) group discussion with focus on methodology and clinical utility, (iii) self-study based on literature provided by presenters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Literature for additional self-study of the topics presented in this seminar will be provided by the presenters and will be available online at https://www.tnu.ethz.ch/en/teaching | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Participants are expected to be familiar with general principles of statistics (including Bayesian statistics) and have successfully completed the course “Computational Psychiatry” (Course number 227-0971-00L). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1034-00L | Computational Vision (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: INI402 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | W | 6 KP | 2V + 1U + 1A | D. Kiper | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course focuses on neural computations that underlie visual perception. We study how visual signals are processed in the retina, LGN and visual cortex. We study the morpholgy and functional architecture of cortical circuits responsible for pattern, motion, color, and three-dimensional vision. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This course considers the operation of circuits in the process of neural computations. The evolution of neural systems will be considered to demonstrate how neural structures and mechanisms are optimised for energy capture, transduction, transmission and representation of information. Canonical brain circuits will be described as models for the analysis of sensory information. The concept of receptive fields will be introduced and their role in coding spatial and temporal information will be considered. The constraints of the bandwidth of neural channels and the mechanisms of normalization by neural circuits will be discussed. The visual system will form the basis of case studies in the computation of form, depth, and motion. The role of multiple channels and collective computations for object recognition will be considered. Coordinate transformations of space and time by cortical and subcortical mechanisms will be analysed. The means by which sensory and motor systems are integrated to allow for adaptive behaviour will be considered. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course considers the operation of circuits in the process of neural computations. The evolution of neural systems will be considered to demonstrate how neural structures and mechanisms are optimised for energy capture, transduction, transmission and representation of information. Canonical brain circuits will be described as models for the analysis of sensory information. The concept of receptive fields will be introduced and their role in coding spatial and temporal information will be considered. The constraints of the bandwidth of neural channels and the mechanisms of normalization by neural circuits will be discussed. The visual system will form the basis of case studies in the computation of form, depth, and motion. The role of multiple channels and collective computations for object recognition will be considered. Coordinate transformations of space and time by cortical and subcortical mechanisms will be analysed. The means by which sensory and motor systems are integrated to allow for adaptive behaviour will be considered. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Books: (recommended references, not required) 1. An Introduction to Natural Computation, D. Ballard (Bradford Books, MIT Press) 1997. 2. The Handbook of Brain Theorie and Neural Networks, M. Arbib (editor), (MIT Press) 1995. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 327-2144-00L | Microscopy Training Cryogenic Electron Microscopy Please register here: (Link) | W | 1 KP | 2P | M. Peterek, B. Qureshi, E. J. Barthazy Meier, S. Handschin, M. S. Lucas-Droste, P. Zeng | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The introductory course on cryogenic electron microscopy (cryoEM) provides theoretical and hands-on learning for new operators, utilizing lectures, demonstrations and hands-on sessions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | - Overview of cryoEM theory, instrumentation, operation and applications - Prepare cryoEM sample (vitrification using Vitrobot) - Set-up, align and operate a cryoTEM successfully and safely - Set up automated data collection - Basic processing steps to analyze/interpret the data e.g., reconstruction 3D volumes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course introduces and gives an overview of cryoEM and its applications. At the end of the course, students will be familiar with how to prepare vitrified probe and how to use a cryoTEM to collect and analyze data for exemplary techniques: - Introduction and discussion on cryoEM and instrumentation - Lectures on cryoEM theory - Lectures on cryoEM applications - Practicals/demonstration on vitrification, grid preparation - Practicals/demonstration on data collection - Lecture and practicals/demonstration on reconstruction of 3D volumes from 2D cryoEM projections/images | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - Course slides - EM-University: (https://em-learning.com/) - Book: CryoEM Methods and Protocols edited by T Gonen, B B Nannenga - Book: Single-particle Cryo-eM of Biological Macromolecules edited by R M Glaeser, E Nogales, W Chiu | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The students should fulfil one or more of these prerequisites: - Prior attendance to the ScopeM Microscopy Training TEM I - Prior TEM experience | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1397-00L | Orthopaedic Biomechanics | W | 3 KP | 2G | R. Müller, J. Schwiedrzik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is aimed at studying the mechanical and structural engineering of the musculoskeletal system alongside the analysis and design of orthopaedic solutions to musculoskeletal failure. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To apply engineering and design principles to orthopaedic biomechanics, to quantitatively assess the musculoskeletal system and model it, and to review rigid-body dynamics in an interesting context. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Engineering principles are very important in the development and application of quantitative approaches in biology and medicine. This course includes a general introduction to structure and function of the musculoskeletal system: anatomy and physiology of musculoskeletal tissues and joints; biomechanical methods to assess and quantify tissues and large joint systems. These methods will also be applied to musculoskeletal failure, joint replacement and reconstruction; implants; biomaterials and tissue engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Stored on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Orthopaedic Biomechanics: Mechanics and Design in Musculoskeletal Systems Authors: Donald L. Bartel, Dwight T. Davy, Tony M. Keaveny Publisher: Prentice Hall; Copyright: 2007 ISBN-10: 0130089095; ISBN-13: 9780130089090 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Lectures will be given in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 402-0673-00L | Physics in Medical Research: From Humans to Cells | W | 6 KP | 2V + 1U | B. K. R. Müller | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The aim of this lecture series is to introduce the role of physics in state-of-the-art medical research and clinical practice. Topics to be covered range from applications of physics in medical implant technology and tissue engineering, through imaging technology, to its role in interventional and non-interventional therapies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The lecture series is focused on applying knowledge from physics in diagnosis, planning, and therapy close to clinical practice and fundamental medical research. Beside a general overview, the lectures give a deep insight into a very few selected techniques, which will help the students to apply the knowledge to a broad range of related techniques. In particular, the lectures will elucidate the physics behind the X-ray imaging currently used in clinical environment and contemporary high-resolution developments. It is the goal to visualize and quantify microstructures of human tissues and implants as well as their interface. Physicists in medicine are working on modeling and simulation. Based on the vascular structure in cancerous and healthy tissues, the characteristic approaches in computational physics to develop strategies against cancer are presented. In order to deliberately destroy cancerous tissue, heat can be supplied or extracted in different manner: cryotherapy (heat conductivity in anisotropic, viscoelastic environment), radiofrequency treatment (single and multi-probe), laser application, and proton therapy. Mechanical stimuli can drastically influence soft and hard tissue behavior. The students should realize that a physiological window exists, where a positive tissue response is expected and how the related parameter including strain, frequency, and resting periods can be selected and optimized for selected tissues such as bone. For the treatment of severe incontinence, we are developing artificial smart muscles. The students should have a critical look at promising solutions and the selection procedure as well as realize the time-consuming and complex way to clinical practice. The course will be completed by relating the numerous examples and a common round of questions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This lecture series will cover the following topics: Physics in Medical Research: From humans to cells - introduction and overview Hard X-ray-based computed tomography in clinics and related research Conventional microtomography for tissue and implant characterization Synchrotron radiation-based tomography of medically relevant objects Comparing microtomography in absorption- and phase-contrast modes Tomographic imaging of cells and subcellular structures Physical approaches in medical imaging Unconventional approaches in hard X-ray imaging: Iterative reconstruction for laminography Quantitative evaluation of medically relevant, three-dimensional data Nondestructive imaging of unique objects: Physicists support museum science From open surgery to non-invasive interventions – role of medical imaging Artificial muscles for treating severe incontinence Applying physics in medicine: Benefitting patients | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | http://www.bmc.unibas.ch/education/ETH_Zurich.phtml login and password to be provided during the lecture | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students from other departments are very welcome to join and gain insight into a variety of sophisticated techniques for the benefit of patients. No special knowledge is required. Nevertheless, gaps in basic physical knowledge will require additional efforts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 465-0952-00L | Biomedical Photonics | W | 3 KP | 2V | M. Frenz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture introduces the principles of light generation, light propagation in tissue and detection of light and its therapeutic and diagnostic application in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The students are expected to aquire a basic understanding of the fundamental physical principles within biomedical photonics. In particular, they will develop a broad skill set for research in fundamentals of light-tissue interaction, technologies such as microscopy, lasers and fiber optics and issues related to light applications in therapeutics and diagnostics in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Optics always was strongly connected to the observation and interpretation of physiological phenomenon. The basic knowledge of optics for example was initially gained by studying the function of the human eye. Nowadays, biomedical optics is an independent research field that is no longer restricted to the observation of physiological processes but studies diagnostic and therapeutic problems in medicine. A basic prerequisite for applying optical techniques in medicine is the understanding of the physical properties of light, the light propagation in and its interaction with tissue. The lecture gives inside into the generation, propagation and detection of light, its propagation in tissue and into selected optical applications in medicine. Various optical imaging techniques (optical coherence tomography or optoacoustics) as well as therapeutic laser applications (refractive surgery, photodynamic therapy or nanosurgery) will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | will be provided via Internet (Ilias) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - M. Born, E. Wolf, "Principles of Optics", Pergamon Press - B.E.A. Saleh, M.C. Teich, "Fundamentals of Photonics", John Wiley and Sons, Inc. - O. Svelto, "Principles of Lasers", Plenum Press - J. Eichler, T. Seiler, "Lasertechnik in der Medizin", Springer Verlag - M.H. Niemz, "Laser-Tissue Interaction", Springer Verlag - A.J. Welch, M.J.C. van Gemert, "Optical-thermal response of laser-irradiated tissue", Plenum Press | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Language of instruction: English This is the same course unit (465-0952-00L) with former course title "Medical Optics". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 529-0059-00L | Nanoscale Molecular Imaging | W | 3 KP | 2G | N. Kumar, R. Zenobi | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course will provide fundamental knowledge about the principal analytical techniques for nanoscale molecular imaging. In addition to the basic concepts, students will also learn the application of advanced molecular characterization tools to solve problems in the chemical, biological and material sciences. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This course will provide fundamental knowledge about the principal analytical techniques for nanoscale molecular imaging. In addition to the basic concepts, students will also learn the application of advanced molecular characterization tools to solve problems in the chemical, biological and material sciences. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Nanoscale molecular imaging using fluorescence spectroscopy: - Stimulated emission depletion microscopy (STED) - Saturated structured illumination microscopy (SSIM) - Direct stochastic optical reconstruction microscopy (dSTORM) - Photoactivated localization microscopy (PALM) Nanoscale molecular imaging using Raman spectroscopy: - Scanning near-field optical microscopy (aperture SNOM) - Tip-enhanced Raman spectroscopy (TERS): Based on atomic force microscopy (AFM) & scanning tunnelling microscopy (STM) Nanoscale molecular imaging using infra-red (IR) spectroscopy: - Nanoscale Fourier-transform infrared spectroscopy (Nano-FTIR) - Photo-induced force microscopy (AFM-IR) Nanoscale molecular imaging using ions: - Nanoscale secondary ion mass spectrometry (NanoSIMS) Single molecule imaging techniques: - Scanning probe microscopy: STM & AFM - Ultrahigh vacuum (UHV)-TERS - Cryogenic electron microscopy (Cryo-EM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes will be made available online. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Information about relevant literature will be available in the lecture & in the lecture notes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Biologiefächer | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0398-10L | Physiology and Anatomy for Biomedical Engineers II | W | 3 KP | 2G | M. Wyss | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course offers an introduction into the structure and function of the human body, and how these are interlinked. The visualization of anatomy is also supported by 3D-animation. Medical imaging modalities such as Computed Tomography and Magnetic Resonance imaging will be discussed in passing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be able to identify and enumerate important anatomical structures to describe basic physiological processes of the human body to use a 3d animation database/software to use 'anatomical language' to retrieve anatomical structures to understand basic medical terminology | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Digestive system, nutrition and digestion Thermal balance and thermoregulation Kidneys and urinary system Endocrine system and hormones Reproductive System Basic anatomy of neck, face and cranium Basics of neurophysiology and neuroanatomy Sensory organs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes and handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Silbernagl S., Despopoulos A. Color Atlas of Physiology; Thieme 2008 Faller A., Schuenke M. The Human Body; Thieme 2004 Netter F. Atlas of human anatomy; Elsevier 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0949-10L | Biological Methods for Engineers (Advanced Lab) Limited number of participants. Students of the MSc in Biomedical Engineering have priority. | W | 4 KP | 9P | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The 2 week-long, full-time block course covers basic laboratory skills and safety, cell culture, protein analysis, RNA/DNA Isolation and RT-PCR. Each topic will be introduced, followed by practical work at the bench. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this laboratory course is to give students practical exposure to basic techniques of cell and molecular biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The goal of this laboratory course is to give students practical exposure to basic techniques of cell and molecular biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Enrollment is limited and preference given to students in the Masters of Biomedical Engineering program. Due to extensive overlap with "Biological Methods for Engineers" (Basic Lab; 227-0949-00L during the autumn semester), students can only take one of the courses (Basic Lab or Extended Lab). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0945-11L | Cell and Molecular Biology for Engineers Students who have taken the semester course 227-0945-00L Cell and Molecular Biology for Engineers I, 227-0945-10L Cell and Molecular Biology for Engineers II or the year-long course before FS23 cannot earn credit points for this course. | W | 6 KP | 4G | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course gives an introduction into cellular and molecular biology, specifically for students with a background in engineering. The focus will be on the basic organization of eukaryotic cells, molecular mechanisms and cellular functions. Textbook knowledge will be combined with results from recent research and technological innovations in biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After completing this course, engineering students will be able to apply their previous training in the quantitative and physical sciences to modern biology. Students will also learn the principles how biological models are established, and how these models can be tested. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Lectures will include the following topics: DNA, chromosomes, genome engineering, RNA, proteins, genetics, synthetic biology, gene expression, membrane structure and function, vesicular traffic, cellular communication, energy conversion, cytoskeleton, cell cycle, cellular growth, apoptosis, autophagy, cancer and stem cells. In addition, 3 journal clubs will be held, where recent publications will be discussed. For each journal club, students (alone or in groups of up to four students) have to write a summary and discussion of the publication. These written documents will be graded and count as 30% for the final grade. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Scripts of all lectures will be available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | "Molecular Biology of the Cell" (7th international student edition) by Alberts, Heald, Johnson, Morgan, Raff, Roberts, and Walter. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Biomechanics | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kernfächer der Vertiefung Während des Studiums müssen mindestens 12 KP aus Kernfächern einer Vertiefung (Track) erreicht werden. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | E. Konukoglu, E. Erdil, M. A. Reyes Aguirre | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | It is the objective of this lecture to introduce the basic concepts used in Medical Image Analysis. In particular the lecture focuses on shape representation schemes, segmentation techniques, machine learning based predictive models and various image registration methods commonly used in Medical Image Analysis applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This lecture aims to give an overview of the basic concepts of Medical Image Analysis and its application areas. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Prerequisites: Basic concepts of mathematical analysis and linear algebra. Preferred: Basic knowledge of computer vision and machine learning would be helpful. The course will be held in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1392-00L | Mechanobiology: Implications for Development, Regeneration and Tissue Engineering | W | 4 KP | 2G | G. Shivashankar | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course will emphasize the importance of mechanobiology to cell determination and behavior. Its importance to regenerative medicine and tissue engineering will also be addressed. Finally, this course will discuss how age and disease adversely alter major mechanosensitive developmental programs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this course is to provide an introduction to the emerging field of “Mechanobiology”. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | We will focus on cells and tissues and introduce the major methods employed in uncovering the principles of mechanobiology. We will first discuss the cellular mechanotransduction mechanisms and how they regulate genomes. This will be followed by an analysis of the mechanobiological underpinnings of cellular differentiation, cell-state transitions and homeostasis. Developing on this understanding, we will then introduce the mechanobiological basis of cellular ageing and its impact on tissue regeneration, including neurodegeneration and musculoskeletal systems. We will then highlight the importance of tissue organoid models as routes to regenerative medicine. We will also discuss the impact of mechanobiology on host-pathogen interactions. Finally, we will introduce the broad area of mechanopathology and the development of cell-state biomarkers as readouts of tissue homeostasis and disease pathologies. Collectively, the course will provide a quantitate framework to understand the mechanobiological processes at cellular scale and how they intersect with tissue function and diseases. Lecture 1: Introduction to the course: forces, signalling and cell behaviour Lecture 2: Methods to engineer and sense mechanobiological processes Lecture 3: Mechanisms of cellular mechanosensing and cytoskeletal remodelling Lecture 4: Nuclear mechanotransduction pathways Lecture 5: Genome organization, regulation and genome integrity Lecture 6: Differentiation, development and reprogramming Lecture 7: Tissue microenvironment, cell behaviour and homeostasis Lecture 8: Cellular aging and tissue regeneration Lecture 9: Neurodegeneration and regeneration Lecture 10: Musculoskeletal systems and regeneration Lecture 11: Tissue organoid models and regenerative medicine Lecture 12: Microbial systems and host-pathogen interactions Lecture13: Mechanopathology and cell-state biomarkers Lecture14: Concluding lecture and case studies | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | n/a | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Topical Scientific Manuscripts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1397-00L | Orthopaedic Biomechanics | W | 3 KP | 2G | R. Müller, J. Schwiedrzik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is aimed at studying the mechanical and structural engineering of the musculoskeletal system alongside the analysis and design of orthopaedic solutions to musculoskeletal failure. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To apply engineering and design principles to orthopaedic biomechanics, to quantitatively assess the musculoskeletal system and model it, and to review rigid-body dynamics in an interesting context. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Engineering principles are very important in the development and application of quantitative approaches in biology and medicine. This course includes a general introduction to structure and function of the musculoskeletal system: anatomy and physiology of musculoskeletal tissues and joints; biomechanical methods to assess and quantify tissues and large joint systems. These methods will also be applied to musculoskeletal failure, joint replacement and reconstruction; implants; biomaterials and tissue engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Stored on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Orthopaedic Biomechanics: Mechanics and Design in Musculoskeletal Systems Authors: Donald L. Bartel, Dwight T. Davy, Tony M. Keaveny Publisher: Prentice Hall; Copyright: 2007 ISBN-10: 0130089095; ISBN-13: 9780130089090 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Lectures will be given in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1712-00L | Finite Element Analysis in Biomedical Engineering | W | 3 KP | 2V | S. J. Ferguson, B. Helgason | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course provides an introduction to finite element analysis, with a specific focus on problems and applications from biomedical engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Finite element analysis is a powerful simulation method for the (approximate) solution of boundary value problems. While its traditional roots are in the realm of structural engineering, the methods have found wide use in the biomedical engineering domain for the simulation of the mechanical response of the human body and medical devices. This course provides an introduction to finite element analysis, with a specific focus on problems and applications from biomedical engineering. This domain offers many unique challenges, including multi-scale problems, multi-physics simulation, complex and non-linear material behaviour, rate-dependent response, dynamic processes and fluid-solid interactions. Theories taught are reinforced through practical applications in self-programmed and commercial simulation software, using e.g. MATLAB, ANSYS, FEBIO. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | (Theory) The Finite Element and Finite Difference methods Gallerkin, weighted residuals, discretization (Theory) Mechanical analysis of structures Trusses, beams, solids and shells, DOFs, hand calculations of simple FE problems, underlying PDEs (Application) Mechanical analysis of structures Truss systems, beam systems, 2D solids, meshing, organ level analysis of bones (Theory and Application) Mechanical analysis of structures Micro- and multi-scale analysis, voxel models, solver limitations, large scale solvers (Theory) Non-linear mechanical analysis of structures Large strain, Newton-Rhapson, plasticity (Application) Non-linear mechanical analysis of structures Plasticity (bone), hyperelasticity, viscoelasticity (Theory and Application) Contact analysis Friction, bonding, rough contact, implants, bone-cement composites, pushout tests (Theory) Flow in Porous Media Potential problems, Terzhagi's consolidation (Application) Flow in Porous Media Confined and unconfined compression of cartilage (Theory) Heat Transfer and Mass Transport Diffusion, conduction and convection, equivalency of equations (Application) Heat Transfer and Mass Transport Sequentially-coupled poroelastic and transport models for solute transport (Theory) Computational Biofluid Dynamics Newtonian vs. Non-Newtonian fluid, potential flow (Application) Computational Biofluid Dynamics Flow between micro-rough parallel plates | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts consisting of (i) lecturers' script, (ii) selected excerpts from relevant textbooks, (iii) selected excerpts from theory manuals of commercial simulation software, (iv) relevant scientific publications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Familiarity with basic numerical methods. Programming experience with MATLAB. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Wahlfächer der Vertiefung Diese Fächer sind für die Vertiefung in Biomechanics besonders empfohlen. Bei abweichender Fächerwahl konsultieren Sie bitte den Track Adviser. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0540-00L | Experimental Mechanics | W | 4 KP | 2V + 1U | P. Carrara | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course provides an introduction to experimental mechanics and covers basic and advanced solid mechanics experimental testing methods. The basic working principles of analogic transducers, testing machines and of optical and X-ray tomographic imaging techniques are illustrated along with an overview of the essential image processing and analysis approaches. ccc | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding the basic principles of experimental methods in solid mechanics and acquiring the ability to properly design, execute and analyze experimental tests targeted to investigate a mechanical process. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | 1. Introduction: testing machines; analogic and digital signals; force, displacement and strain transducers; test control. 2. Analogic transducers: working principles; load cells; LVDTs; strain gauges. 3. Solid mechanics tests: compression, tensile and bending tests; fracture mechanics tests. 4. Optical methods: 2D and 3D digital image correlation, basic principles and applications. 5. 3D X-ray computed tomography (CT): basic principles; CT scanning; image reconstruction and artifacts correction; segmentation, filtering and analysis. 6. Overview of advanced topics: 4D X-ray CT; in-situ testing; digital volume correlation; laser speckle interferometry; dynamic testing and high-speed cameras. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Prerequisites: Mechanics 1 and 2, Physics. Introduction to fracture mechanics is highly recommended. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 151-0622-00L | Measuring on the Nanometer Scale | W | 2 KP | 2G | A. Stemmer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Conventional techniques to analyze nano structures using photons and electrons: light microscopy with dark field and differential interference contrast; scanning electron microscopy, transmission electron microscopy. Interferometric and other techniques to measure distances. Optical traps. Foundations of scanning probe microscopy: tunneling, atomic force, optical near-field. Interactions between specimen and probe. Current trends, including spectroscopy of material parameters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Slides available via Moodle (registered participants only). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0630-00L | Nanorobotics | W | 4 KP | 2V + 1U | S. Pané Vidal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Nanorobotics is an interdisciplinary field that includes topics from nanotechnology and robotics. The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. These topics include basic principles of nanorobotics, building parts for nanorobotic systems, powering and locomotion of nanorobots, manipulation, assembly and sensing using nanorobots, molecular motors, and nanorobotics for nanomedicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0636-00L | Soft and Biohybrid Robotics | W | 4 KP | 3G | R. Katzschmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Soft and biohybrid robotics are emerging fields taking inspiration from nature to create robots that are inherently safer to interact with. You learn how to create structures, actuators, sensors, models, controllers, and machine learning architectures exploiting the deformable nature of soft robots. You also learn how to apply soft robotic principles to challenges of your research domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Learning Objective 1: Solve a robotics challenge with a soft robotic design Step 1: Formulate suitable functional requirements for the challenge Step 2: Select soft robotic actuator material Step 3: Design and fabrication approach suitable for the challenge Step 4: Basic controller for robotic functionality Learning Objective 2: Formulate modeling, control, and learning frameworks for highly articulated robots in real-life scenarios Step 1: Formulate the dynamic skills needed for the real-life scenario Step 2: Pick + combine suitable multiphysics modeling, control + learning techniques for this scenario Step 3: Evaluate the modeling/control approach for a real-life scenario Step 4: Modify and enhance the modeling/control approach and repeat the evaluation Step 5: Choose a learning approach for complex robotic skills Learning Objective 3: Apply the principles of mechanical impedance and embodied intelligence to soft robotic challenges in various domains Step 1: Identify the moving aspects of the problem Step 2: Choose and design the passive and actively-controlled degrees of freedom Step 3: Pick the actuation material based on suitability to your challenge Step 4: Design in detail multiple combinations of body and brain Step 5: Simulate, build, test, fail, and repeat this often and quickly until the soft robot works for simple settings Step 6: Upgrade and validate the robot for a suitable performance under real-world conditions Learning Objective 4: Rethink robotic approaches by moving towards designs made of living materials Step 1: Identify what problems could be easier to solve with a complex living material Step 2: Scout for available works that have potentially tackled the problem with a living material Step 3: Formulate a hypothesis for your new approach with a living material Step 4: Design a minimum viable prototype (MVP) that suitably highlights your new approach | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Students will learn about the latest research advances in material technologies, fabrication, modeling, and machine learning to design, simulate, build, and control soft and biohybrid robots. Part 1: Functional and intelligent materials for use in soft and biohybrid robotic applications Part 2: Design and design morphologies of soft robotic actuators and sensors Part 3: Fabrication techniques including 3D printing, casting, roll-to-roll, tissue engineering Part 4: Biohybrid robotics including microrobots and macrorobots; tissue engineering Part 5: Mechanical modeling including minimal parameter models, finite-element models, and ML-based models Part 6: Closed-loop controllers of soft robots that exploit the robot's impedance and dynamics for locomotion and manipulation tasks Part 7: Machine Learning approaches to soft robotics, for design synthesis, modeling, and control Regular assignments throughout the semester will teach the participants to implement the skills and knowledge learned during the class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | All class materials including slides, recordings, assignments, pre-reads, and tutorials can be found on the Moodle page of the class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | 1) Yasa et al. "An Overview of Soft Robotics." Annu. Rev. Control Robot. Auton. Syst. (2023). 6:1–29. 2) Polygerinos et al. "Soft robotics: Review of fluid‐driven intrinsically soft devices; manufacturing, sensing, control, and applications in human‐robot interaction." Advanced Engineering Materials 19.12 (2017): 1700016. 3) Cianchetti, et al. "Biomedical applications of soft robotics." Nature Reviews Materials 3.6 (2018): 143-153. 4) Ricotti et al. "Biohybrid actuators for robotics: A review of devices actuated by living cells." Science Robotics 2.12 (2017). 5) Sun et al. "Biohybrid robotics with living cell actuation." Chemical Society Reviews 49.12 (2020): 4043-4069. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | - Prerequesites are dynamics, controls, and intro to robotics. - Only for students at master or PhD level. - Due to the limited places, the priority goes first to students from the Robotics, Systems and Control Master and second to the other study programs where the course is offered. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 151-0980-00L | Biofluiddynamics | W | 4 KP | 2V + 1U | D. Obrist, P. Jenny | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to the fluid dynamics of the human body and the modeling of physiological flow processes (biomedical fluid dynamics). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | A basic understanding of fluid dynamical processes in the human body. Knowledge of the basic concepts of fluid dynamics and the ability to apply these concepts appropriately. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This lecture is an introduction to the fluid dynamics of the human body (biomedical fluid dynamics). For selected topics of human physiology, we introduce fundamental concepts of fluid dynamics (e.g., creeping flow, incompressible flow, flow in porous media, flow with particles, fluid-structure interaction) and use them to model physiological flow processes. The list of studied topics includes the cardiovascular system and related diseases, blood rheology, microcirculation, respiratory fluid dynamics and fluid dynamics of the inner ear. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes are provided electronically. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | A list of books on selected topics of biofluiddynamics can be found on the course web page. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1046-00L | Computer Simulations of Sensory Systems | W | 3 KP | 3G | T. Haslwanter | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course deals with computer simulations of the human auditory, visual, and balance system. The lecture will cover the physiological and mechanical mechanisms of these sensory systems. And in the exercises, the simulations will be implemented with Python. The simulations will be such that their output could be used as input for actual neuro-sensory prostheses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Our sensory systems provide us with information about what is happening in the world surrounding us. Thereby they transform incoming mechanical, electromagnetic, and chemical signals into “action potentials”, the language of the central nervous system. The main goal of this lecture is to describe how our sensors achieve these transformations, how they can be reproduced with computational tools. For example, our auditory system performs approximately a “Fourier transformation” of the incoming sound waves; our early visual system is optimized for finding edges in images that are projected onto our retina; and our balance system can be well described with a “control system” that transforms linear and rotational movements into nerve impulses. In the exercises that go with this lecture, we will use Python to reproduce the transformations achieved by our sensory systems. The goal is to write programs whose output could be used as input for actual neurosensory prostheses: such prostheses have become commonplace for the auditory system, and are under development for the visual and the balance system. For the corresponding exercises, at least some basic programing experience is required! | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The following topics will be covered: • Introduction into the signal processing in nerve cells. • Introduction into Python. • Simplified simulation of nerve cells (Hodgkins-Huxley model). • Description of the auditory system, including the application of Fourier transforms on recorded sounds. • Description of the visual system, including the retina and the information processing in the visual cortex. The corresponding exercises will provide an introduction to digital image processing. • Description of the mechanics of our balance system, and the “Control System”-language that can be used for an efficient description of the corresponding signal processing (essentially Laplace transforms and control systems). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | For each module additional material will be provided on the e-learning platform "moodle". The main content of the lecture is also available as a wikibook, under http://en.wikibooks.org/wiki/Sensory_Systems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Open source information is available as wikibook http://en.wikibooks.org/wiki/Sensory_Systems For good overviews of the neuroscience, I recommend: • Principles of Neural Science (5th Ed, 2012), by Eric Kandel, James Schwartz, Thomas Jessell, Steven Siegelbaum, A.J. Hudspeth ISBN 0071390111 / 9780071390118 THE standard textbook on neuroscience. NOTE: The 6th edition will be released on February 5, 2021! • L. R. Squire, D. Berg, F. E. Bloom, Lac S. du, A. Ghosh, and N. C. Spitzer. Fundamental Neuroscience, Academic Press - Elsevier, 2012 [ISBN: 9780123858702]. This book covers the biological components, from the functioning of an individual ion channels through the various senses, all the way to consciousness. And while it does not cover the computational aspects, it nevertheless provides an excellent overview of the underlying neural processes of sensory systems. • G. Mather. Foundations of Sensation and Perception, 2nd Ed Psychology Press, 2009 [ISBN: 978-1-84169-698-0 (hardcover), oder 978-1-84169-699-7 (paperback)] A coherent, up-to-date introduction to the basic facts and theories concerning human sensory perception. • The best place to get started with Python programming are the https://scipy-lectures.org/ On signal processing with Python, my upcoming book • Hands-on Signal Analysis with Python (Due: January 13, 2021 ISBN 978-3-030-57902-9, https://www.springer.com/gp/book/9783030579029) will contain an explanation to all the required programming tools and packages. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | •Since I have to travel from Linz, Austria, to Zurich to give this lecture, I plan to hold this lecture online every 2nd week. In addition to the lectures, this course includes external lab visits to institutes actively involved in research on the relevant sensory systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0966-00L | Quantitative Big Imaging: From Images to Statistics | W | 4 KP | 2V + 1U | P. A. Kaestner, M. Stampanoni | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture focuses on the challenging task of extracting robust, quantitative metrics from imaging data and is intended to bridge the gap between pure signal processing and the experimental science of imaging. The course will focus on techniques, scalability, and science-driven analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | 1. Introduction of applied image processing for research science covering basic image processing, quantitative methods, and statistics. 2. Understanding of imaging as a means to accomplish a scientific goal. 3. Ability to apply quantitative methods to complex 3D data to determine the validity of a hypothesis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Imaging is a well established field and is rapidly growing as technological improvements push the limits of resolution in space, time, material and functional sensitivity. These improvements have meant bigger, more diverse datasets being acquired at an ever increasing rate. With methods varying from focused ion beams to X-rays to magnetic resonance, the sources for these images are exceptionally heterogeneous; however, the tools and techniques for processing these images and transforming them into quantitative, biologically or materially meaningful information are similar. The course consists of equal parts theory and practical analysis of first synthetic and then real imaging datasets. Basic aspects of image processing are covered such as filtering, thresholding, and morphology. From these concepts a series of tools will be developed for analyzing arbitrary images in a very generic manner. Specifically a series of methods will be covered, e.g. characterizing shape, thickness, tortuosity, alignment, and spatial distribution of material features like pores. From these metrics the statistics aspect of the course will be developed where reproducibility, robustness, and sensitivity will be investigated in order to accurately determine the precision and accuracy of these quantitative measurements. A major emphasis of the course will be scalability and the tools of the 'Big Data' trend will be discussed and how cluster, cloud, and new high-performance large dataset techniques can be applied to analyze imaging datasets. In addition, given the importance of multi-scale systems, a data-management and analysis approach based on modern databases will be presented for storing complex hierarchical information in a flexible manner. Finally as a concluding project the students will apply the learned methods on real experimental data from the latest 3D experiments taken from either their own work / research or partnered with an experimental imaging group. The course provides the necessary background to perform the quantitative evaluation of complicated 3D imaging data in a minimally subjective or arbitrary manner to answer questions coming from the fields of physics, biology, medicine, material science, and paleontology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Available online. https://imaginglectures.github.io/Quantitative-Big-Imaging-2023/weeklyplan.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be indicated during the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Ideally, students will have some familiarity with basic manipulation and programming in languages like Python, Matlab, or R. Interested students who are worried about their skill level in this regard are encouraged to contact Anders Kaestner directly (anders.kaestner@psi.ch). More advanced students who are familiar with Python, C++, (or in some cases Java) will have to opportunity to develop more of their own tools. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 252-0220-00L | Introduction to Machine Learning Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch | W | 8 KP | 4V + 2U + 1A | A. Krause, F. Yang | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course introduces the foundations of learning and making predictions based on data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course will introduce the foundations of learning and making predictions from data. We will study basic concepts such as trading goodness of fit and model complexitiy. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | - Linear regression (overfitting, cross-validation/bootstrap, model selection, regularization, [stochastic] gradient descent) - Linear classification: Logistic regression (feature selection, sparsity, multi-class) - Kernels and the kernel trick (Properties of kernels; applications to linear and logistic regression); k-nearest neighbor - Neural networks (backpropagation, regularization, convolutional neural networks) - Unsupervised learning (k-means, PCA, neural network autoencoders) - The statistical perspective (regularization as prior; loss as likelihood; learning as MAP inference) - Statistical decision theory (decision making based on statistical models and utility functions) - Discriminative vs. generative modeling (benefits and challenges in modeling joint vy. conditional distributions) - Bayes' classifiers (Naive Bayes, Gaussian Bayes; MLE) - Bayesian approaches to unsupervised learning (Gaussian mixtures, EM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Designed to provide a basis for following courses: - Advanced Machine Learning - Deep Learning - Probabilistic Artificial Intelligence - Seminar "Advanced Topics in Machine Learning" | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 252-0312-00L | Mobile Health and Activity Monitoring | W | 6 KP | 2V + 3A | C. Holz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Health and activity monitoring has become a key purpose of mobile & wearable devices, e.g., phones, watches, and rings. We will cover the phenomena they capture, i.e., user behavior, actions, and human physiology, as well as the sensors, signals, and methods for processing and analysis. For the exercise, students will receive a wristband to stream and analyze activity and health signals. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course will combine high-level concepts with low-level technical methods needed to sense, detect, and understand them. High-level: – sensing modalities for interactive systems – "activities" and "events" (exercises and other mechanical activities such as movements and resulting vibrations) – health monitoring (basic cardiovascular physiology) – affective computing (emotions, mood, personality) Lower-level: – sampling and filtering, time and frequency domains – cross-modal sensor systems, signal synchronization and correlation – event detection, classification, prediction using basic signal processing as well as learning-based methods – sensor types: optical, mechanical/acoustic, electromagnetic | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Health and activity monitoring has become a key purpose of mobile and wearable devices, including phones, (smart) watches, (smart) rings, (smart) belts, and other trackers (e.g., shoe clips, pendants). In this course, we will cover the fundamental aspects that these devices observe, i.e., user behavior, actions, and physiological dynamics of the human body, as well as the sensors, signals, and methods to capture, process, and analyze them. We will then cover methods for pattern extraction and classification on such data. The course will therefore touch on aspects of human activities, cardiovascular and pulmonary physiology, affective computing (recognizing, interpreting, and processing emotions), corresponding lower-level sensing systems (e.g., inertial sensing, optical sensing, photoplethysmography, eletrodermal activity, electrocardiograms) and higher-level computer vision-based sensing (facial expressions, motions, gestures), as well as processing methods for these types of data. The course will be accompanied by a group exercise project, in which students will apply the concepts and methods taught in class. Students will receive a wearable wristband device that streams IMU data to a mobile phone (code will be provided for receiving, storing, visualizing on the phone). Throughout the course and exercises, we will collect data of various human activities from the band, annotate them, analyze, classify, and interpret them. For this, existing and novel processing methods will be developed (plenty of related work exists), based on the collected data as well as existing datasets. We will also combine the band with signals obtained from the mobile phone to holistically capture and analyze health and activity data. Full details: https://teaching.siplab.org/mobile_health_activity_monitoring/2023/ Note: All lectures will be streamed live and recorded for later replay. Hybrid participation will be possible. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Copies of slides will be made available Lectures will be streamed live as well as recorded and made available online. More information on the course site: https://teaching.siplab.org/mobile_health_activity_monitoring/2023/ Note: All lectures will be streamed live and recorded for later replay. Hybrid participation will be possible. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be provided in the lecture | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 252-0840-02L | Anwendungsnahes Programmieren mit Python | W | 2 KP | 2G | L. E. Fässler, M. Dahinden | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Diese Lehrveranstaltung vermittelt wichtige Basiskonzepte zur Bearbeitung interdisziplinärer Programmierprojekte mit Python. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die Studierenden können... - selbstständig Aufgabenstellungen als Programm codieren, Programme testen und Fehler beheben. - bestehenden Programmcode verstehen, hinterfragen und verbessern. - mit der Komplexität realer Daten umgehen. - Daten in einer geeigneten Datenstruktur speichern. - Modelle aus den Naturwissenschaften als Simulation umzusetzen. - Zufallsexperimente durchführen und die Resultate interpretieren. - Standard-Algorithmen erklären und anwenden. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | In der Vorlesung werden folgende Basis-Konzepte behandelt: 1. Variablen und Datentypen 2. Kontrollstrukturen und Logik 3. Sequentielle Datentypen, Such- und Sortieralgorithmen, Sequenzanalyse 4. Funktionen, Module, Simulationen und Animationen 5. Matrizen, Zufallsexperimente, Zelluläre Automaten. 6. Klassen und Objekte Im praktischen Teil der Lehrveranstaltung werden selbstständig kleine Programmierprojekte mit naturwissenschaftlichem Kontext bearbeitet. Als Vorbereitung werden elektronische Tutorials bereitgestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | L. Fässler, M. Dahinden, D. Komm, and D. Sichau: Einführung in die Programmierung mit Python. Begleitunterlagen zum Onlinekurs und zur Vorlesung, 2022. ISBN: 978-3-7562-1004-6. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Für diese Lehrveranstaltung werden keine Vorkenntnisse vorausgesetzt. Sie basiert auf anwendungsorientiertem Lernen. Den grössten Teil der Arbeit verbringen die Studierenden damit, Programmierprojekte mit naturwissenschaftlichen Daten zu bearbeiten und die Resultate mit Assistierenden zu diskutieren. Für die Aneignung der Programmier-Grundlagen stehen elektronische Tutorials zur Verfügung. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0638-00L | MaP Distinguished Lecture Series on Engineering with Living Materials This course is primarily designed for MSc and doctoral students. Guests are welcome. Former title: MaP Distinguished Lecture Series on Soft Robotics | W | 1 KP | 2S | R. Katzschmann, M. Filippi, X.‑H. Qin, Z. Zhang | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is an interdisciplinary colloquium on the engineering of biohybrid systems and robotics. Internationally renowned speakers from academia and industry give lectures about their cutting-edge research, which highlights the state-of-the-art and frontiers in the field of engineering with living materials and biohybrids. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Participants become acquainted with the state-of-the-art and frontiers in biohybrid systems and robotics, which is a topic of global and future relevance from the field of materials and process engineering. The self-study of relevant literature and active participation in discussions following presentations by internationally renowned speakers stimulate critical thinking and allow participants to deliberately discuss challenges and opportunities with leading academics and industrial experts and to exchange ideas within an interdisciplinary community. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course is a colloquium involving a selected mix of internationally renowned speakers from academia and industry who present their cutting-edge research in the field of engineered systems using living materials. In particular, the course will cover fundamentals of bioengineering at a multicellular level (biofabrication), as well as examples of manufacturing and application of living cells to engineered systems for medical applications and beyond. Speakers will show how to combine living cells with non-living, synthetic materials to realize bio-hybrid systems to be applied to many fields of human life, ranging from biomedicine to robotics, biosensing, ecology, and architecture. It will be shown how bio-hybrid technologies and cutting-edge engineering techniques can support cell proliferation and even enhance their cell functions. The course will cover materials and approaches for the biofabrication of living tissue, seen as a biomedical model for pathophysiological discovery research, or as transplantable grafts for tissue regeneration. Speakers will illustrate how living species can contribute to ecological approaches in town planning (such as CO2 sequestration), sensing and processor technologies enabled by connective and signaling abilities of cells, and motile systems actuated by contractile cells (bio-hybrid robots). The main learning objective is to learn about: materials and techniques to build intelligent biological systems for future, sustainable societies; mechanisms of cell and tissue programmability; and applications in bio-robotics, communication, sensing technologies, and medical engineering. The self-study of relevant pre-read literature provided in advance of each lecture serves as a basis for active participation in the critical discussions following each presentation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Selected scientific pre-read literature (around two articles per lecture) relevant for and discussed during the lectures is posted in advance on the course web page. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course is taught by a selection of internationally renowned speakers from academia and industry working in the field of bio-hybrid systems and robotics. This lecture series is focusing on the recent trends in engineering with living materials. Participants should have a background in tissue engineering, material science, and/or robotics. To obtain credits, students need to: (i) attend 80% of all lectures; (ii) submit a one-page abstract of 3 different lectures. The performance will be assessed with a "Pass/Fail" format. On-site attendance to the lectures is preferred to foster in-person contacts. However, for lectures given by online speakers, a Zoom link to attend remotely will be provided on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 363-1130-00L | Digital Health in Practice (University of Zurich) Findet dieses Semester nicht statt. No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: 04SM22MAS100 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | W | 4 KP | 2V | Uni-Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Today, we face the challenge of chronic conditions. Personal coaching approaches are neither scalable nor financially sustainable. The question arises, therefore, to which degree Digital Health Interventions (DHIs) are appropriate to address this challenge. In this lecture, students will learn about the need for, as well as the design, implementation, and assessment of DHIs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | • To understand the importance of digital health interventions for the prevention, management, and treatment of non-communicable diseases and common mental disorders • To discuss the opportunities and challenges of digital health interventions (e.g., data collection with wearables, smartphone- and chatbot-delivered health interventions) • To gain hands-on experience in the conceptual design, implementation and evaluation of a wearable- and smartphone-based digital health intervention | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Fitbits detect lasting changes after Covid-19 (New York Times, 2022), The promise of the metaverse in cardiovascular health (European Heart Journal, 2022), Can Virtual Reality Help Ease Chronic Pain? (The New York Times Magazine, 2022), First of its Kind Alexa Experience Provides Hands-Free Access at Home to General Medical Care (GlobeNewswire, 2022), Can digital technologies improve health? (The Lancet, 2021), Predictive analytics and tailored interventions improve clinical outcomes (npj Digital Medicine, 2021), Q1 2022 Digital Health Funding Reaches $6B Across 183 Deals (Rock Health, 2022). Digital health applications use information, sensor and communication technology to understand, prevent, manage, or treat diseases. The design of these applications requires interdisciplinary expertise at the intersection of medicine, psychology, computer science, technology, management, economics, and law. Only a close collaboration between experts from these disciplines and a specific target population can lead to a shared understanding of the problem at hand and, as a result, highly effective digital health applications. For this reason, national and international students studying computer science, business informatics, psychology, management, economics, or law are invited to work collaboratively with medical students. Digital health applications and companies have the goal of advancing health care services to fight the ongoing increase of non-communicable diseases (NCDs) and common mental disorders (CMDs) in developed countries. To this end, the question arises of how to develop evidence- based digital health interventions (DHI) that allow medical doctors and other caregivers to scale and tailor long-term treatments to individuals in need at sustainable costs. Through input lectures and practical applications, this module has, therefore, the objective to help students to better understand the need, design, implementation, and evaluation of DHIs. The following topics are covered: 1. DHIs for the prevention, management, and treatment of NCDs and CMDs 2. Strategies for long-term compliance with DHI 3. Conceptual design of a wearable- and smartphone-based DHI 4. Technical implementation of a wearable- and smartphone-based DHI 5. Evaluation of a wearable- and smartphone-based DHI | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | 1. Cohen AB Dorsey ER Mathews SC et al. (2020) A digital health industry cohort across the health continuum Nature Digital Medicine 3(68), 10.1038/s41746‐020‐0276‐9 2. Collins LM (2018) Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST) New York: Springer, 10.1007/978-3-319-72206-1 3. Coravos A. Khozin S. and K. D. Mandl (2019) Developing and Adopting Safe and Effective Digital Biomarkers to Improve Patient Outcomes Nature Digital Medicine 2 Paper 14, 10.1038/s41746‐019‐0090‐4 4. Fleisch E Franz C Herrmann A (2021) The Digital Pill: What Everyone Should Know about the Future of Our Healthcare System, Emerald Publishing: Bingley,UK, 10.1108/9781787566750 5. Katz DL Frates EP Bonnet JP Gupta SK Vartiainen E and Carmona RH (2018) Lifestyle as Medicine: The Case for a True Health Initiative American Journal of Health Promotion 32(6), 1452-1458, 10.1177/0890117117705949 6. Kvedar, JC, Fogel AL, Elenko E and Zohar D (2016) Digital medicine’s march on chronic disease Nature Biotechnology 34(3), 239-246, 10.1038/nbt.3495 7. Kowatsch T Otto L Harperink S Cotti A Schlieter H (2019) A Design and Evaluation Framework for Digital Health Interventions it ‐ Information Technology 61(5‐6), 253‐263, 10.1515/itit‐2019‐0019 8. Kowatsch T Fleisch E (2021) Digital Health Interventions, in: Gassmann O Ferrandina F (eds): Connected Business: Creating Value in the Networked Economy, Springer: Berlin, 10.1007/978-3-030-76897-3_4 9. Kowatsch T Schachner T Harperink S et al (2021) Conversational Agents as Mediating Social Actors in Chronic Disease Management Involving Health Care Professionals, Patients, and Family Members: Multisite Single-Arm Feasibility Study, Journal of Medical Internet Research (JMIR) 23(2):e25060 10.2196/25060 10. Kowatsch T Lohse KM Erb V et al (2021) Hybrid Ubiquitous Coaching With a Novel Combination of Mobile and Holographic Conversational Agents Targeting Adherence to Home Exercises: 4 Design and Evaluation Studies, Journal of Medical Internet Research (JMIR) 23(2):e23612, 10.2196/23612 11. Nahum‐Shani I Smith SN Spring BJ Collins LM Witkiewitz K Tewari A Murphy SA (2018) Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support Annals of Behavioral Medicine 52 (6), 446‐462, 10.1007/s12160-016-9830-8 12. Sim, I. (2019) Mobile Devices and Health The New England Journal of Medicine, 381(10), 956‐ 968, 10.1056/NEJMra1806949 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 376-1217-00L | Rehabilitation Engineering I: Motor Functions | W | 4 KP | 2V + 1U | R. Riener, C. E. Awai | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | “Rehabilitation” is the (re)integration of an individual with a disability into society. Rehabilitation engineering is “the application of science and technology to ameliorate the handicaps of individuals with disability”. Such handicaps can be classified into motor, sensor, and cognitive disabilities. In general, one can distinguish orthotic and prosthetic methods to overcome these disabilities. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this course is to present classical and new technical principles as well as specific examples applied to compensate or enhance motor deficits. In the 1 h exercise the students will learn how to solve representative problems with computational methods applied to exoprosthetics, wheelchair dynamics, rehabilitation robotics and neuroprosthetics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Modern methods rely more and more on the application of multi-modal and interactive techniques. Multi-modal means that visual, acoustical, tactile, and kinaesthetic sensor channels are exploited to display information to the patient. Interaction means that the exchange of information and energy occurs bi-directionally between the rehabilitation device and the human being. Thus, the device cooperates with the patient rather than imposing an inflexible strategy (e.g., movement) upon the patient. These principles are recurrent in modern technological tools to support rehabilitation, including prosthesis, orthoses, powered exoskeletons, powered wheelchairs, therapy robots and virtual reality systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Books: Burdet, Etienne, David W. Franklin, and Theodore E. Milner. Human robotics: neuromechanics and motor control. MIT press, 2013. Krakauer, John W., and S. Thomas Carmichael. Broken movement: the neurobiology of motor recovery after stroke. MIT Press, 2017. Teodorescu, Horia-Nicolai L., and Lakhmi C. Jain, eds. Intelligent systems and technologies in rehabilitation engineering. CRC press, 2000. Winters, Jack M., and Patrick E. Crago, eds. Biomechanics and neural control of posture and movement. Springer Science & Business Media, 2012. Selected Journal Articles: Abbas, James J., and Robert Riener. "Using mathematical models and advanced control systems techniques to enhance neuroprosthesis function." Neuromodulation: Technology at the Neural Interface 4.4 (2001): 187-195. Basalp, Ekin, Peter Wolf, and Laura Marchal-Crespo. "Haptic training: which types facilitate (re) learning of which motor task and for whom Answers by a review." IEEE Transactions on Haptics (2021). Calabrò, Rocco Salvatore, et al. "Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?." Neurological Sciences 37.4 (2016): 503-514. Cooper, R. (1993) Stability of a wheelchair controlled by a human. IEEE Transactions on Rehabilitation Engineering 1, pp. 193-206. Gassert, Roger, and Volker Dietz. "Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective." Journal of neuroengineering and rehabilitation 15.1 (2018): 1-15. Laver, Kate E., et al. "Virtual reality for stroke rehabilitation." Cochrane database of systematic reviews 11 (2017). Marquez-Chin, Cesar, and Milos R. Popovic. "Functional electrical stimulation therapy for restoration of motor function after spinal cord injury and stroke: a review." Biomedical engineering online 19 (2020): 1-25. Miller, Larry E., Angela K. Zimmermann, and William G. Herbert. "Clinical effectiveness and safety of powered exoskeleton-assisted walking in patients with spinal cord injury: systematic review with meta-analysis." Medical devices (Auckland, NZ) 9 (2016): 455. Raspopovic, Stanisa. "Advancing limb neural prostheses." Science 370.6514 (2020): 290-291. Riener, R. (2013) Rehabilitation Robotics. Foundations and Trends in Robotics, Vol. 3, nos. 1-2, pp. 1-137. Riener, R., Lünenburger, L., Maier, I. C., Colombo, G., & Dietz, V. (2010). Locomotor training in subjects with sensori-motor deficits: An overview of the robotic gait orthosis Lokomat. Journal of Healthcare Engineering, 1(2), 197-216. Riener, R., Nef, T., Colombo, G. (2005) Robot-aided neurorehabilitation for the upper extremities. Medical & Biological Engineering & Computing 43(1), pp. 2-10. Sigrist, Roland, et al. "Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review." Psychonomic bulletin & review 20.1 (2013): 21-53. Xiloyannis, Michele, et al. "Soft Robotic Suits: State of the Art, Core Technologies, and Open Challenges." IEEE Transactions on Robotics (2021). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Target Group: Students of higher semesters and PhD students of - D-MAVT, D-ITET, D-INFK - Biomedical Engineering - Medical Faculty, University of Zurich Students of other departments, faculties, courses are also welcome | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1150-00L | Clinical Challenges in Musculoskeletal Disorders | W | 2 KP | 2G | M. Leunig, S. J. Ferguson, Z.‑M. Manjaly | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course reviews musculoskeletal disorders focusing on the clinical presentation, current treatment approaches and future challenges and opportunities to overcome failures. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Appreciation of the surgical and technical challenges, and future perspectives offered through advances in surgical technique, new biomaterials and advanced medical device construction methods. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Foot deformities, knee injuries, knee OA, hip disorders in the child and adolescent, hip OA, spine deformities, degenerative spine disease, shoulder in-stability, hand, rheumatoid diseases, neuromuscular diseases, sport injuries and prevention | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1168-00L | Sports Biomechanics | W | 3 KP | 2V | S. Lorenzetti | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Various types of sport are studied from a mechanical point of view. Of particular interest are the key parameters of a sport as well as the performance relevant indicators. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The aim of this lecture is to enable the students to study a sport from a biomechanical viewpoint and to carry out a small project including planing, measurement set-up, analysis and discussion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Sport biomechanics is concerned with the physical and mechanical basic principles of sports. The lecture requires an in-depth mechanical understanding on the side of the student. In this respect, the pre-attendance of the lectures Biomechanics II and Movement and Sports Biomechanics or an equivalent course is expected. The human body is treated as a mechanical system during sport. The interaction of the active and passive movements and outside influences is analysed. Using sports such as ski-jumping, cycling, or weight training, applicable models are created, analyzed and suitable measuring methods are introduced. In particular, the constraints as well as the limitations of the models are of great relevance. The students work on their own project, develop their own models for different sport types, critically discuss the advantages and disadvantages and evaluate applicable measurement methods. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handout will be distributed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 376-1308-00L | Development Strategies for Medical Implants | W | 3 KP | 2V + 1U | J. Mayer-Spetzler, N. Mathavan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to development strategies for implantable devices considering the interdependencies of biocompatibility, clinical, regulatory, and economical requirements; discussion of state of the art and actual trends in orthopedics, sports medicine, cardiovascular surgery, and regenerative medicine (tissue engineering). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Primary considerations in implant development. Concept of structural and surface biocompatibility and its relevance for implant design and surgical technique. Understanding conflicting factors, e.g., clinical need, economics, and regulatory requirements. Tissue engineering concepts, their strengths, and weaknesses as current and future clinical solutions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Understanding of clinical and economic needs as guidelines for the development of medical implants; implant and implantation-related tissue reactions, biocompatible materials, and material processing technologies; implant testing and regulatory procedures; discussion of state-of-the-art and actual trends in implant development in sports medicine, spinal and cardio-vascular surgery; introduction to tissue engineering. Commented movies from surgeries will further illustrate selected topics. Seminar: Group seminars on selected controversial topics in implant development. Participation is mandatory. Planned excursions (limited availability, not mandatory, to be confirmed): Participation (as a visitor) in a life surgery (travel at own expense) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Script (electronically available): - presented slides - selected scientific papers for further reading | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Reference to key papers will be provided during the lectures. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Only Master's students; achieved Bachelor's degree is a pre-condition Admission to the lecture is based on a letter of motivation to the lecturer J. Mayer. The number of participants in the course is limited to 30 students in total. Students will be exposed to surgical movies which may cause emotional reactions. The viewing of the surgical movies is voluntary and is the student's responsibility. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 376-1614-00L | Principles in Tissue Engineering | W | 3 KP | 2V | K. Maniura, M. Rottmar, M. Zenobi-Wong | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Fundamentals in blood coagulation; thrombosis, blood rheology, immune system, inflammation, foreign body reaction on the molecular level and the entire body are discussed. Applications of biomaterials for tissue engineering in different tissues are introduced. Fundamentals in medical implantology, in situ drug release, cell transplantation and stem cell biology are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding of molecular aspects for the application of biodegradable and biocompatible Materials. Fundamentals of tissue reactions (eg. immune responses) against implants and possible clinical consequences will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This class continues with applications of biomaterials and devices introduced in Biocompatible Materials I. Fundamentals in blood coagulation; thrombosis, blood rheology; immune system, inflammation, foreign body reaction on the level of the entire body and on the molecular level are introduced. Applications of biomaterials for tissue engineering in the vascular system, skeletal muscle, heart muscle, tendons and ligaments, bone, teeth, nerve and brain, and drug delivery systems are introduced. Fundamentals in medical implantology, in situ drug release, cell transplantation and stem cell biology are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts provided during the classes and references therin. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | The molecular Biology of the Cell, Alberts et al., 5th Edition, 2009. Principles in Tissue Engineering, Langer et al., 2nd Edition, 2002 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1620-00L | Skeletal Repair | W | 3 KP | 3G | S. Grad, M. D'Este, F. Moriarty, M. Stoddart | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course gives an introduction into traumatic and degenerative pathologies of skeletal tissues. Emphasis is put on bone, cartilage and intervertebral disc. Established and new treatments are described, including cell, gene and molecular therapy, biomaterials, tissue engineering and infection prevention. In vitro/in vivo models are explained. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objectives of this course are to acquire a basic understanding of (1) important pathologies of skeletal tissues and their consequences for the patient and the public health (2) current surgical approaches for skeletal repair, their advantages and drawbacks (3) recent advances in biological strategies for skeletal repair, such as (stem) cell therapy, gene therapy, biomaterials and tissue engineering (4) pathology, prevention and treatment of implant associated infections (5) in vitro and in vivo models for basic, translational and pre-clinical studies | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | According to the expected background knowledge, the cellular and extracellular composition and the structure of the skeletal tissues, including bone, cartilage, intervertebral disc, ligament and tendon will briefly be recapitulated. The functions of the healthy tissues and the impact of acute injury (e.g. bone fracture) or progressive degenerative failure (e.g. osteoarthritis) will be demonstrated. Physiological self-repair mechanisms, their limitations, and current (surgical) treatment options will be outlined. Particular emphasis will be put on novel approaches for biological repair or regeneration of critical bone defects, damaged hyaline cartilage of major articulating joints, and degenerative intervertebral disc tissues. These new treatment options include autologous cell therapies, stem cell applications, bioactive factors, gene therapy, biomaterials or biopolymers; while tissue engineering / regenerative medicine is considered as a combination of some of these factors. In vitro bioreactor systems and in vivo animal models will be described for preclinical testing of newly developed materials and techniques. Bacterial infection as a major complication of invasive treatment will be explained, covering also established and new methods for its effective inhibition. Finally, the translation of new therapies for skeletal repair from the laboratory to the clinical application will be illustrated by recent developments. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Basic knowledge in the cellular and molecular composition, structure and function of healthy skeletal tissues, especially bone, cartilage and intervertebral disc are required; furthermore, basic understanding of biomaterial properties, cell-surface interactions, and bacterial infection are necessary to follow this course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1719-00L | Statistics for Experimental Research | W | 3 KP | 2V | R. van de Langenberg | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Students will learn the necessary statistical concepts and skills to independently (1) design experiments (2) analyse experimental data and (3) report analyses and results in a scientifically appropriate manner. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After successful completion of the course, students should be able to: 1. Determine appropriate experimental designs and choose, justify and perform the appropriate statistical analyses using R. 2. Report analyses and results in a scientifically appropriate manner, as laid out by the Publication Manual of the American Psychological Association (APA, sixth edition). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | We will cover basic statistical concepts (e.g., central tendency, variability, data distribution), the t-test (dependent and independent), ANOVA (univariate, factorial and repeated measures), correlation, multiple regression, nonparametric techniques, validity and reliability tests, effect size, data transformation, power and sample size estimation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes will be delivered in the form of commented presentations in Microsoft Powerpoint (i.e. pptx) format. R practical session assignments will be delivered in pdf-format. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Both in the lectures and in the tutorials and practical sessions, we will refer students to the following publication: Field A, Miles J, Field Z (2013) Discovering Statistics Using R. Sage Publications Ltd, London, UK | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1721-00L | Bone Biology and Consequences for Human Health | W | 2 KP | 2V | G. A. Kuhn, J. Goldhahn, E. Wehrle | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Bone is a complex tissue that continuously adapts to mechanical and metabolic demands. Failure of this remodeling results in reduced mechanic stability ot the skeleton. This course will provide the basic knowledge to understand the biology and pathophysiology of bone necessary for engineering of bone tissue and design of implants. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After completing this course, students will be able to understand: a) the biological and mechanical aspects of normal bone remodeling b) pathological changes and their consequences for the musculoskeletal system c) the consequences for implant design, tissue engineering and treatment interventions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Bone adapts continuously to mechanical and metabolic demands by complex remodeling processes. This course will deal with biological processes in bone tissue from cell to tissue level. This lecture will cover mechanisms of bone building (anabolic side), bone resorption (catabolic side), their coupling, and regulation mechanisms. It will also cover pathological changes and typical diseases like osteoporosis. Consequences for musculoskeletal health and their clinical relevance will be discussed. Requirements for tissue engineering as well as implant modification will be presented. Actual examples from research and development will be utilized for illustration. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1974-00L | Colloquium in Biomechanics | W | 2 KP | 2K | B. Helgason, P. Chansoria, S. J. Ferguson, R. Müller, D. K. Ravi, J. G. Snedeker, W. R. Taylor, M. Zenobi-Wong | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Current topics in biomechanics presented by speakers from academia and industry. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Getting insight into actual areas and problems of biomechanics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 402-0673-00L | Physics in Medical Research: From Humans to Cells | W | 6 KP | 2V + 1U | B. K. R. Müller | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The aim of this lecture series is to introduce the role of physics in state-of-the-art medical research and clinical practice. Topics to be covered range from applications of physics in medical implant technology and tissue engineering, through imaging technology, to its role in interventional and non-interventional therapies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The lecture series is focused on applying knowledge from physics in diagnosis, planning, and therapy close to clinical practice and fundamental medical research. Beside a general overview, the lectures give a deep insight into a very few selected techniques, which will help the students to apply the knowledge to a broad range of related techniques. In particular, the lectures will elucidate the physics behind the X-ray imaging currently used in clinical environment and contemporary high-resolution developments. It is the goal to visualize and quantify microstructures of human tissues and implants as well as their interface. Physicists in medicine are working on modeling and simulation. Based on the vascular structure in cancerous and healthy tissues, the characteristic approaches in computational physics to develop strategies against cancer are presented. In order to deliberately destroy cancerous tissue, heat can be supplied or extracted in different manner: cryotherapy (heat conductivity in anisotropic, viscoelastic environment), radiofrequency treatment (single and multi-probe), laser application, and proton therapy. Mechanical stimuli can drastically influence soft and hard tissue behavior. The students should realize that a physiological window exists, where a positive tissue response is expected and how the related parameter including strain, frequency, and resting periods can be selected and optimized for selected tissues such as bone. For the treatment of severe incontinence, we are developing artificial smart muscles. The students should have a critical look at promising solutions and the selection procedure as well as realize the time-consuming and complex way to clinical practice. The course will be completed by relating the numerous examples and a common round of questions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This lecture series will cover the following topics: Physics in Medical Research: From humans to cells - introduction and overview Hard X-ray-based computed tomography in clinics and related research Conventional microtomography for tissue and implant characterization Synchrotron radiation-based tomography of medically relevant objects Comparing microtomography in absorption- and phase-contrast modes Tomographic imaging of cells and subcellular structures Physical approaches in medical imaging Unconventional approaches in hard X-ray imaging: Iterative reconstruction for laminography Quantitative evaluation of medically relevant, three-dimensional data Nondestructive imaging of unique objects: Physicists support museum science From open surgery to non-invasive interventions – role of medical imaging Artificial muscles for treating severe incontinence Applying physics in medicine: Benefitting patients | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | http://www.bmc.unibas.ch/education/ETH_Zurich.phtml login and password to be provided during the lecture | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students from other departments are very welcome to join and gain insight into a variety of sophisticated techniques for the benefit of patients. No special knowledge is required. Nevertheless, gaps in basic physical knowledge will require additional efforts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 529-0059-00L | Nanoscale Molecular Imaging | W | 3 KP | 2G | N. Kumar, R. Zenobi | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course will provide fundamental knowledge about the principal analytical techniques for nanoscale molecular imaging. In addition to the basic concepts, students will also learn the application of advanced molecular characterization tools to solve problems in the chemical, biological and material sciences. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This course will provide fundamental knowledge about the principal analytical techniques for nanoscale molecular imaging. In addition to the basic concepts, students will also learn the application of advanced molecular characterization tools to solve problems in the chemical, biological and material sciences. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Nanoscale molecular imaging using fluorescence spectroscopy: - Stimulated emission depletion microscopy (STED) - Saturated structured illumination microscopy (SSIM) - Direct stochastic optical reconstruction microscopy (dSTORM) - Photoactivated localization microscopy (PALM) Nanoscale molecular imaging using Raman spectroscopy: - Scanning near-field optical microscopy (aperture SNOM) - Tip-enhanced Raman spectroscopy (TERS): Based on atomic force microscopy (AFM) & scanning tunnelling microscopy (STM) Nanoscale molecular imaging using infra-red (IR) spectroscopy: - Nanoscale Fourier-transform infrared spectroscopy (Nano-FTIR) - Photo-induced force microscopy (AFM-IR) Nanoscale molecular imaging using ions: - Nanoscale secondary ion mass spectrometry (NanoSIMS) Single molecule imaging techniques: - Scanning probe microscopy: STM & AFM - Ultrahigh vacuum (UHV)-TERS - Cryogenic electron microscopy (Cryo-EM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes will be made available online. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Information about relevant literature will be available in the lecture & in the lecture notes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 227-0398-10L | Physiology and Anatomy for Biomedical Engineers II | W | 3 KP | 2G | M. Wyss | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course offers an introduction into the structure and function of the human body, and how these are interlinked. The visualization of anatomy is also supported by 3D-animation. Medical imaging modalities such as Computed Tomography and Magnetic Resonance imaging will be discussed in passing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be able to identify and enumerate important anatomical structures to describe basic physiological processes of the human body to use a 3d animation database/software to use 'anatomical language' to retrieve anatomical structures to understand basic medical terminology | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Digestive system, nutrition and digestion Thermal balance and thermoregulation Kidneys and urinary system Endocrine system and hormones Reproductive System Basic anatomy of neck, face and cranium Basics of neurophysiology and neuroanatomy Sensory organs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes and handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Silbernagl S., Despopoulos A. Color Atlas of Physiology; Thieme 2008 Faller A., Schuenke M. The Human Body; Thieme 2004 Netter F. Atlas of human anatomy; Elsevier 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0949-10L | Biological Methods for Engineers (Advanced Lab) Limited number of participants. Students of the MSc in Biomedical Engineering have priority. | W | 4 KP | 9P | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The 2 week-long, full-time block course covers basic laboratory skills and safety, cell culture, protein analysis, RNA/DNA Isolation and RT-PCR. Each topic will be introduced, followed by practical work at the bench. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this laboratory course is to give students practical exposure to basic techniques of cell and molecular biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The goal of this laboratory course is to give students practical exposure to basic techniques of cell and molecular biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Enrollment is limited and preference given to students in the Masters of Biomedical Engineering program. Due to extensive overlap with "Biological Methods for Engineers" (Basic Lab; 227-0949-00L during the autumn semester), students can only take one of the courses (Basic Lab or Extended Lab). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0945-11L | Cell and Molecular Biology for Engineers Students who have taken the semester course 227-0945-00L Cell and Molecular Biology for Engineers I, 227-0945-10L Cell and Molecular Biology for Engineers II or the year-long course before FS23 cannot earn credit points for this course. | W | 6 KP | 4G | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course gives an introduction into cellular and molecular biology, specifically for students with a background in engineering. The focus will be on the basic organization of eukaryotic cells, molecular mechanisms and cellular functions. Textbook knowledge will be combined with results from recent research and technological innovations in biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After completing this course, engineering students will be able to apply their previous training in the quantitative and physical sciences to modern biology. Students will also learn the principles how biological models are established, and how these models can be tested. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Lectures will include the following topics: DNA, chromosomes, genome engineering, RNA, proteins, genetics, synthetic biology, gene expression, membrane structure and function, vesicular traffic, cellular communication, energy conversion, cytoskeleton, cell cycle, cellular growth, apoptosis, autophagy, cancer and stem cells. In addition, 3 journal clubs will be held, where recent publications will be discussed. For each journal club, students (alone or in groups of up to four students) have to write a summary and discussion of the publication. These written documents will be graded and count as 30% for the final grade. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Scripts of all lectures will be available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | "Molecular Biology of the Cell" (7th international student edition) by Alberts, Heald, Johnson, Morgan, Raff, Roberts, and Walter. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Medical Physics | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kernfächer der Vertiefung Während des Studiums müssen mindestens 12 KP aus Kernfächern einer Vertiefung (Track) erreicht werden. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 402-0342-00L | Medical Physics II | W | 6 KP | 2V + 1U | P. Manser | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Applications of ionizing radiation in medicine such as radiation therapy, nuclear medicine and radiation diagnostics. Theory of dosimetry based on cavity theory and clinical consequences. Fundamentals of dose calculation, optimization and evaluation. Concepts of external beam radiation therapy and brachytherapy. Recent and future developments: IMRT, IGRT, SRS/SBRT, particle therapy. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Getting familiar with the different medical applications of ionizing radiation in the fields of radiation therapy, nuclear medicine, and radiation diagnostics. Dealing with concepts such as external beam radiation therapy as well as brachytherapy for the treatment of cancer patients. Understanding the fundamental cavity theory for dose measurements and its consequences on clinical practice. Understanding different delivery techniques such as IMRT, IGRT, SRS/SBRT, brachytherapy, particle therapy using protons, heavy ions or neutrons. Understanding the principles of dose calculation, optimization and evaluation for radiation therapy, nuclear medicine and radiation diagnostic applications. Finally, the lecture aims to demonstrate that medical physics is a fascinating and evolving discipline where physics can directly be used for the benefits of patients and the society. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | In this lecture, the use of ionizing radiation in different clinical applications is discussed. Primarily, we will concentrate on radiation therapy and will cover applications such as external beam radiotherapy with photons and electrons, intensity modulated radiotherapy (IMRT), image guided radiotherapy (IGRT), stereotactic radiotherapy and radiosurgery, brachytherapy, particle therapy using protons, heavy ions or neutrons. In addition, dosimetric methods based on cavity theory are reviewed and principles of treatment planning (dose calculation, optimization and evaluation) are discussed. Next to these topics, applications in nuclear medicine and radiation diagnostics are explained with the clear focus on dosimetric concepts and behaviour. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | A script will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | It is recommended that the students have taken the lecture Medical Physics I in advance. For students of the MAS in Medical Physics (Specialization A) the performance assessment is offered at the earliest in the second year of the studies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Wahlfächer der Vertiefung Diese Fächer sind für die Vertiefung in Biomechanics besonders empfohlen. Bei abweichender Fächerwahl konsultieren Sie bitte den Track Adviser. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0946-00L | Molecular Imaging - Basic Principles and Biomedical Applications | W | 3 KP | 2V + 1A | D. Razansky | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Concept: What is molecular imaging. Discussion/comparison of the various imaging modalities used in molecular imaging. Design of target specific probes: specificity, delivery, amplification strategies. Biomedical Applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Molecular Imaging is a rapidly emerging discipline that translates concepts developed in molecular biology and cellular imaging to in vivo imaging in animals and ultimatly in humans. Molecular imaging techniques allow the study of molecular events in the full biological context of an intact organism and will therefore become an indispensable tool for biomedical research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Concept: What is molecular imaging. Discussion/comparison of the various imaging modalities used in molecular imaging. Design of target specific probes: specificity, delivery, amplification strategies. Biomedical Applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0948-00L | Magnetic Resonance Imaging in Medicine | W | 4 KP | 3G | S. Kozerke, M. Weiger Senften | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to magnetic resonance imaging and spectroscopy, encoding and contrast mechanisms and their application in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understand the basic principles of signal generation, image encoding and decoding, contrast manipulation and the application thereof to assess anatomical and functional information in-vivo. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Introduction to magnetic resonance imaging including basic phenomena of nuclear magnetic resonance; 2- and 3-dimensional imaging procedures; fast and parallel imaging techniques; image reconstruction; pulse sequences and image contrast manipulation; equipment; advanced techniques for identifying activated brain areas; perfusion and flow; diffusion tensor imaging and fiber tracking; contrast agents; localized magnetic resonance spectroscopy and spectroscopic imaging; diagnostic applications and applications in research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | D. Meier, P. Boesiger, S. Kozerke Magnetic Resonance Imaging and Spectroscopy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0968-00L | Monte Carlo in Medical Physics | W | 4 KP | 3G | M. Stampanoni, M. K. Fix | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction in basics of Monte Carlo simulations in the field of medical radiation physics. General recipe for Monte Carlo simulations in medical physics from code selection to fine-tuning the implementation. Characterization of radiation by means of Monte Carlo simulations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding the concept of the Monte Carlo method. Getting familiar with the Monte Carlo technique, knowing different codes and several applications of this method. Learn how to use Monte Carlo in the field of applied medical radiation physics. Understand the usage of Monte Carlo to characterize the physical behaviour of ionizing radiation in medical physics. Share the enthusiasm about the potential of the Monte Carlo technique and its usefulness in an interdisciplinary environment. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The lecture provides the basic principles of the Monte Carlo method in medical radiation physics. Some fundamental concepts on applications of ionizing radiation in clinical medical physics will be reviewed. Several techniques in order to increase the simulation efficiency of Monte Carlo will be discussed. A general recipe for performing Monte Carlo simulations will be compiled. This recipe will be demonstrated for typical clinical devices generating ionizing radiation, which will help to understand implementation of a Monte Carlo model. Next, more patient related effects including the estimation of the dose distribution in the patient, patient movements and imaging of the patient's anatomy. A further part of the lecture covers the simulation of radioactive sources as well as heavy ion treatment modalities. The field of verification and quality assurance procedures from the perspective of Monte Carlo simulations will be discussed. To complete the course potential future applications of Monte Carlo methods in the evolving field of treating patients with ionizing radiation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | A script will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 402-0343-00L | Physics Against Cancer: The Physics of Imaging and Treating Cancer Fachstudierende UZH müssen das Modul PHY361 direkt an der UZH buchen. | W | 6 KP | 2V + 1U | A. J. Lomax, U. Schneider | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Radiotherapy is a rapidly developing and technology driven medical discipline that is heavily dependent on physics and engineering. In this lecture series, we will review and describe some of the current developments in radiotherapy, particularly from the physics and technological view point, and will indicate in which direction future research in radiotherapy will lie. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Radiotherapy is a rapidly developing and technology driven medical discipline that is heavily dependent on physics and engineering. In the last few years, a multitude of new techniques, equipment and technology have been introduced, all with the primary aim of more accurately targeting and treating cancerous tissues, leading to a precise, predictable and effective therapy technique. In this lecture series, we will review and describe some of the current developments in radiotherapy, particularly from the physics and technological view point, and will indicate in which direction future research in radiotherapy will lie. Our ultimate aim is to provide the student with a taste for the critical role that physics plays in this rapidly evolving discipline and to show that there is much interesting physics still to be done. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The lecture series will begin with a short introduction to radiotherapy and an overview of the lecture series (lecture 1). Lecture 2 will cover the medical imaging as applied to radiotherapy, without which it would be impossible to identify or accurately calculate the deposition of radiation in the patient. This will be followed by a detailed description of the treatment planning process, whereby the distribution of deposited energy within the tumour and patient can be accurately calculated, and the optimal treatment defined (lecture 3). Lecture 4 will follow on with this theme, but concentrating on the more theoretical and mathematical techniques that can be used to evaluate different treatments, using mathematically based biological models for predicting the outcome of treatments. The role of physics modeling, in order to accurately calculate the dose deposited from radiation in the patient, will be examined in lecture 5, together with a review of mathematical tools that can be used to optimize patient treatments. Lecture 6 will investigate a rather different issue, that is the standardization of data sets for radiotherapy and the importance of medical data bases in modern therapy. In lecture 7 we will look in some detail at one of the most advanced radiotherapy delivery techniques, namely Intensity Modulated Radiotherapy (IMRT). In lecture 8, the two topics of imaging and therapy will be somewhat combined, when we will describe the role of imaging in the daily set-up and assessment of patients. Lecture 9 follows up on this theme, in which a major problem of radiotherapy, namely organ motion and changes in patient and tumour geometry during therapy, will be addressed, together with methods for dealing with such problems. Finally, in lectures 10-11, we will describe in some of the multitude of different delivery techniques that are now available, including particle based therapy, rotational (tomo) therapy approaches and robot assisted radiotherapy. In the final lecture, we will provide an overview of the likely avenues of research in the next 5-10 years in radiotherapy. The course will be rounded-off with an opportunity to visit a modern radiotherapy unit, in order to see some of the techniques and delivery methods described in the course in action. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Although this course is seen as being complimentary to the Medical Physics I and II course of Dr Manser, no previous knowledge of radiotherapy is necessarily expected or required for interested students who have not attended the other two courses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Weitere Wahlfächer Diese Fächer können für die Vertiefung in Medical Physics geeignet sein. Bitte konsultieren Sie Ihren Track Adviser. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 252-0840-02L | Anwendungsnahes Programmieren mit Python | W | 2 KP | 2G | L. E. Fässler, M. Dahinden | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Diese Lehrveranstaltung vermittelt wichtige Basiskonzepte zur Bearbeitung interdisziplinärer Programmierprojekte mit Python. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die Studierenden können... - selbstständig Aufgabenstellungen als Programm codieren, Programme testen und Fehler beheben. - bestehenden Programmcode verstehen, hinterfragen und verbessern. - mit der Komplexität realer Daten umgehen. - Daten in einer geeigneten Datenstruktur speichern. - Modelle aus den Naturwissenschaften als Simulation umzusetzen. - Zufallsexperimente durchführen und die Resultate interpretieren. - Standard-Algorithmen erklären und anwenden. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | In der Vorlesung werden folgende Basis-Konzepte behandelt: 1. Variablen und Datentypen 2. Kontrollstrukturen und Logik 3. Sequentielle Datentypen, Such- und Sortieralgorithmen, Sequenzanalyse 4. Funktionen, Module, Simulationen und Animationen 5. Matrizen, Zufallsexperimente, Zelluläre Automaten. 6. Klassen und Objekte Im praktischen Teil der Lehrveranstaltung werden selbstständig kleine Programmierprojekte mit naturwissenschaftlichem Kontext bearbeitet. Als Vorbereitung werden elektronische Tutorials bereitgestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | L. Fässler, M. Dahinden, D. Komm, and D. Sichau: Einführung in die Programmierung mit Python. Begleitunterlagen zum Onlinekurs und zur Vorlesung, 2022. ISBN: 978-3-7562-1004-6. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Für diese Lehrveranstaltung werden keine Vorkenntnisse vorausgesetzt. Sie basiert auf anwendungsorientiertem Lernen. Den grössten Teil der Arbeit verbringen die Studierenden damit, Programmierprojekte mit naturwissenschaftlichen Daten zu bearbeiten und die Resultate mit Assistierenden zu diskutieren. Für die Aneignung der Programmier-Grundlagen stehen elektronische Tutorials zur Verfügung. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 252-5704-00L | Advanced Methods in Computer Graphics The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | M. Gross, O. Sorkine Hornung | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This seminar covers advanced topics in computer graphics with a focus on the latest research results. Topics include modeling, rendering, visualization, animation, physical simulation, computational photography, and others. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal is to obtain an in-depth understanding of actual problems and research topics in the field of computer graphics as well as improve presentation and critical analysis skills. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0306-00L | Visualization, Simulation and Interaction - Virtual Reality I | W | 4 KP | 4G | A. Kunz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Technologie der virtuellen Realität. Menschliche Faktoren, Erzeugung virtueller Welten, Beleuchtungsmodelle, Display- und Beschallungssysteme, Tracking, haptische/taktile Interaktion, Motion Platforms, virtuelle Prototypen, Datenaustausch, VR-Komplettsysteme, Augmented Reality; Kollaborationssysteme; VR und Design; Umsetzung der VR in der Industrie; Human COmputer Interfaces (HCI). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die Studierenden erhalten einen Überblick über die virtuelle Realität, sowohl aus technischer als auch aus informationstechnologischer Sicht. Sie lernen unterschiedliche Software- und Hardwareelemente kennen sowie deren Einsatzmöglichkeiten im Geschäftsprozess. Die Studierenden entwickeln eine Kenntnis darüber, wo sich heute die virtuelle Realität nutzbringend einsetzen lässt und wo noch weiterer Forschungsbedarf besteht. Anhand konkreter Programme und Systeme erfahren die Teilnehmer den Umgang mit den erlernten neuen Technologien. Studierende sind in der Lage: • gängige VR-Technologien zu evaluieren und die geeignetste für eine gegebene Aufgabe auszuwählen bezüglich der folgenden Gesichtspunkte: o Visualisierungsmöglichkeiten: Monitore, Projektionssysteme, Datenbrillen o Positionserfassungssystemen (optisch/elektromagnetisch/mechanisch) o Interaktionstechnologien: Datenhandschuhe, Möglichkeit des echten Laufens/Erfassung der Augenbewegung/manuelle Interaktion, usw. • eine VR-Anwendung selbstständig zu entwickeln, • die VR-Technologie auf industrielle Anforderungen anzuwenden, • das erlernte Wissen in einer praktischen Anwendung zu vertiefen. • grundlegende Unterschiede in Anwendung digitaler Welten zu vergleichen (VR/AR/MR/XR) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Diese Vorlesung gibt eine Einführung in die Technologie der virtuellen Realität als neues Tool zur Bewältigung komplexer Geschäftsprozesse. Es sind die folgenden Themen vorgesehen: Einführung und Geschichte der VR; Eingliederung der VR in die Produktentwicklung; Nutzen von VR für die Industrie; menschliche Faktoren als Grundlage der virtuellen Realität; Einführung in die Erzeugung (Modellierung) virtueller Welten; Beleuchtungsmodelle; Kollisionserkennung; Displaysysteme; Projektionssysteme; Beschallungssysteme; Trackingssysteme; Interaktionsgeräte für die virtuelle Umgebung; haptische und taktile Interaktion; Motion Platforms; Datenhandschuh; physikalisch basierte Simulation; virtuelle Prototypen; Datenaustausch und Datenkommunikation; VR-Komplettsysteme; Augmented Reality; Kollaborationssysteme; VR zur Unterstützung von Designaufgaben; Umsetzung der VR in der Industrie; Ausblick in die laufende Forschung im Bereich VR. Lehrmodule: - Geschichte der VR und Definition der wichtigsten Begriffe - Einordnung der VR in Geschäftsprozesse - Die Erzeugung virtueller Welten - Geräte und Technologien für die immersive virtuelle Realität - Anwendungen der VR in unterschiedlichsten Gebieten | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Die Durchführung der Lehrveranstaltung erfolgt gemischt mit Vorlesungs- und Übungsanteilen. Die Vorlesung kann auf Wunsch in Englisch erfolgen. Das Skript ist ebenfalls in Englisch verfügbar. Skript, Handout; Kosten SFr.30.- | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Voraussetzungen: keine Vorlesung geeignet für D-MAVT, D-ITET, D-MTEC und D-INF Testat/ Kredit-Bedingungen/ Prüfung: –Teilnahme an Vorlesung und Kolloquien –Erfolgreiche Durchführung von Übungen in Teams | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1614-00L | Principles in Tissue Engineering | W | 3 KP | 2V | K. Maniura, M. Rottmar, M. Zenobi-Wong | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Fundamentals in blood coagulation; thrombosis, blood rheology, immune system, inflammation, foreign body reaction on the molecular level and the entire body are discussed. Applications of biomaterials for tissue engineering in different tissues are introduced. Fundamentals in medical implantology, in situ drug release, cell transplantation and stem cell biology are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding of molecular aspects for the application of biodegradable and biocompatible Materials. Fundamentals of tissue reactions (eg. immune responses) against implants and possible clinical consequences will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This class continues with applications of biomaterials and devices introduced in Biocompatible Materials I. Fundamentals in blood coagulation; thrombosis, blood rheology; immune system, inflammation, foreign body reaction on the level of the entire body and on the molecular level are introduced. Applications of biomaterials for tissue engineering in the vascular system, skeletal muscle, heart muscle, tendons and ligaments, bone, teeth, nerve and brain, and drug delivery systems are introduced. Fundamentals in medical implantology, in situ drug release, cell transplantation and stem cell biology are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts provided during the classes and references therin. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | The molecular Biology of the Cell, Alberts et al., 5th Edition, 2009. Principles in Tissue Engineering, Langer et al., 2nd Edition, 2002 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1792-00L | Introductory Course in Neuroscience II (University of Zurich) Der Kurs muss direkt an der UZH als incoming student belegt werden. UZH Modulkürzel: SPV0Y020 Beachten Sie die Einschreibungstermine an der UZH: https://www.uzh.ch/cmsssl/de/studies/application/deadlines.html | W | 2 KP | 2V | Uni-Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course discusses behavioral aspects in neuroscience. Modern brain imaging methods are described. Clinical issues including diseases of the nervous system are studied. Sleep research and neuroimmunology are discussed. Finally, the course deals with the basic concepts in psychiatry. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This course discusses behavioral aspects in neuroscience. Modern brain imaging methods are described. Clinical issues including diseases of the nervous system are studied. Sleep research and neuroimmunology are discussed. Finally, the course deals with the basic concepts in psychiatry. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Für Doktorierende des Zentrums für Neurowissenschaften Zürich. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1984-00L | Lasers in Medicine Findet dieses Semester nicht statt. | W | 3 KP | 3G | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Fragen wie "Was ist ein Laser, wie funktioniert er und was macht ihn so interessant für die Medizin?", aber auch "Wie breitet sich Licht im Gewebe aus und welche Wechselwirkungen treten dabei auf?" sollen beantwortet werden. Speziell wird auf therapeutische, diagnostische und bildgebende Anwendungen anhand von ausgewählten Beispielen eingegangen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Sie wissen wie ein Laser funktioniert und wie er aufgebaut ist und verstehen die physikalischen Prinzipien eines Lasers. Sie kennen die Eigenschaften von Laserlicht und wie diese für medizinische Zwecke eingesetzt werden können. Sie können unterschiedlichen Laser-Gewebe-Wechselwirkungen erklären und wissen welche Parameter diese beeinflussen. Sie können erklären, was Auflösung, Kontrast und Vergrösserung bedeutet. Sie sind in der Lage eine Laserschutzbrille für Ihr Lasersystem zu bestellen. Sie sind in der Lage für eine gezielte klinische Anwendung die richtigen Laserparameter zu bestimmen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Die Anwendung des Lasers in der Medizin gewinnt zunehmend dort an Bedeutung, wo seine speziellen Eigenschaften gezielt zur berührungslosen, selektiven und spezifischen Wirkung auf Weich- und Hartgewebe für minimal invasive Therapieformen oder zur Eröffnung neuer therapeutischer und diagnostischer Methoden eingesetzt werden können. Grundlegende Arbeiten zum Verständnis der Lichtausbreitung im Gewebe (Absorptions-, Reflexions- und Transmissionsvermögen) und die unterschiedlichen Formen der Wechselwirkung (photochemische, thermische, ablative und optomechanische Wirkung) werden eingehend behandelt. Speziell wird auf den Einfluss der Wellenlänge und der Bestrahlungszeit auf den Wechselwirkungsmechanismus eingegangen. Die unterschiedlichen medizinisch genutzten Lasertypen und Strahlführungssysteme werden hinsichtlich ihres Einsatzes im Bereich der Medizin anhand ausgesuchter Anwendungsbeispiele diskutiert. Neben den therapeutischen Wirkungen wird auf den Einsatz des Lasers in der medizinischen Diagnostik (z.B. Tumor-Fluoreszenzdiagnostik, Bildgebung) eingegangen. Die beim Einsatz des Lasers in der Medizin erforderlichen Schutzmassnahmen werden diskutiert. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | wird im Internet bereitgestellt (ILIAS) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - M. Born, E. Wolf, "Principles of Optics", Pergamon Press - B.E.A. Saleh, M.C. Teich, "Fundamentals of Photonics", John Wiley and Sons, Inc. - A.E. Siegman, "Lasers", University Science Books - O. Svelto, "Principles of Lasers", Plenum Press - J. Eichler, T. Seiler, "Lasertechnik in der Medizin", Springer Verlag - M.H. Niemz, "Laser-Tissue Interaction", Springer Verlag - A.J. Welch, M.J.C. van Gemert, "Optical-thermal response of laser-irradiated tissue", Plenum Press | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 402-0719-MSL | Particle Physics at PSI (Paul Scherrer Institute) | W | 8 KP | 15P | A. Soter | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | During semester breaks in Summer 6-12 students stay for 3 weeks at PSI and participate in a hands-on course on experimental particle physics. A small real experiment is performed in common, including apparatus design, construction, running and data analysis. The course includes some lectures, but the focus lies on the practical aspects of experimenting. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students learn all the different steps it takes to perform a complete particle physics experiment in a small team. They acquire skills to do this themselves in the team, including design, construction, data taking and data analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 402-0787-00L | Therapeutic Applications of Particle Physics: Principles and Practice of Particle Therapy | W | 6 KP | 2V + 1U | A. J. Lomax | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Physics and medical physics aspects of particle physics Subjects: Physics interactions and beam characteristics; medical accelerators; beam delivery; pencil beam scanning; dosimetry and QA; treatment planning; precision and uncertainties; in-vivo dose verification; proton therapy biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The lecture series is focused on the physics and medical physics aspects of particle therapy. The radiotherapy of tumours using particles (particularly protons) is a rapidly expanding discipline, with many new proton and particle therapy facilities currently being planned and built throughout Europe. In this lecture series, we study in detail the physics background to particle therapy, starting from the fundamental physics interactions of particles with tissue, through to treatment delivery, treatment planning and in-vivo dose verification. The course is aimed at students with a good physics background and an interest in the application of physics to medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The former title of this course was "Medical Imaging and Therapeutic Applications of Particle Physics". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 402-0812-00L | Computational Statistical Physics | W | 8 KP | 2V + 2U | M. Krstic Marinkovic | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Simulationsmethoden in der statistischen Physik. Klassische Monte-Carlo-Simulationen: finite-size scaling, Clusteralgorithmen, Histogramm-Methoden, Renormierungsgruppe. Anwendung auf Boltzmann-Maschinen. Simulation von Nichtgleichgewichtssystemen. Molekulardynamik-Simulationen: langreichweitige Wechselwirkungen, Ewald-Summation, diskrete Elemente, Parallelisierung. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die Vorlesung ist eine Vertiefung von Simulationsmethoden in der statistischen Physik, und daher ideal als Fortführung der Veranstaltung "Introduction to Computational Physics" des Herbstsemesters. Im ersten Teil lernen Studenten die folgenden Methoden anzuwenden: Klassische Monte-Carlo-Simulationen, finite-size scaling, Clusteralgorithmen, Histogramm-Methoden, Renormierungsgruppe. Ausserdem lernen Studenten die Anwendung der Methoden aus der Statistischen Physik auf Boltzmann-Maschinen kennen und lernen wie Nichtgleichgewichtssysteme simuliert werden. Im zweiten Teil wenden die Studenten Methoden zur Simulation von Molekulardynamiken an. Das beinhaltet unter anderem auch langreichweitige Wechselwirkungen, Ewald-Summation und diskrete Elemente. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Simulationsmethoden in der statistischen Physik. Klassische Monte-Carlo-Simulationen: finite-size scaling, Clusteralgorithmen, Histogramm-Methoden, Renormierungsgruppe. Anwendung auf Boltzmann-Maschinen. Simulation von Nichtgleichgewichtssystemen. Molekulardynamik-Simulationen: langreichweitige Wechselwirkungen, Ewald-Summation, diskrete Elemente, Parallelisierung. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Skript und Folien sind online verfügbar und werden bei Bedarf verteilt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Literaturempfehlungen und Referenzen sind im Skript enthalten. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Grundlagenwissen in der Statistischen Physik, Klassischen Mechanik und im Bereich der Rechnergestützten Methoden ist empfohlen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 465-0958-00L | Audiological Acoustics | W | 1 KP | 1V | F. Pfiffner | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | After introducing acoustic objects of the physical world the detection, analysis and perception of these signals in the peripheral and central auditory system is described. Emphasis is put on understanding the processing mechanisms in the human auditory system in the aim of restoring impaired auditory function with medical technology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The understanding of the human hearing organ, the processing of complex acoustic signals and hearing rehabilitation possibilities with medical devices (hearing aid and implantable hearing aid systems). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Physiology and anatomy of the human organ of hearing, fundamentals of acoustics, audiological (Hearing) diagnostic procedures with acoustics, psychoacoustics and electrophysiology methods hearing losses and hearing rehabilitation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | ATCHERSON, Samuel R.; STOODY, Tina M. (Hg.). Auditory electrophysiology: a clinical guide. Thieme, 2012. ROESER, Ross J., et al. Audiology-Diagnosis. New York: Thieme, 2007, 2007. KOMPIS, Martin. Audiologie. Huber, 2009. KATZ, Jack; Handbook of clinical audiology, 2002. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 465-0952-00L | Biomedical Photonics | W | 3 KP | 2V | M. Frenz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture introduces the principles of light generation, light propagation in tissue and detection of light and its therapeutic and diagnostic application in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The students are expected to aquire a basic understanding of the fundamental physical principles within biomedical photonics. In particular, they will develop a broad skill set for research in fundamentals of light-tissue interaction, technologies such as microscopy, lasers and fiber optics and issues related to light applications in therapeutics and diagnostics in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Optics always was strongly connected to the observation and interpretation of physiological phenomenon. The basic knowledge of optics for example was initially gained by studying the function of the human eye. Nowadays, biomedical optics is an independent research field that is no longer restricted to the observation of physiological processes but studies diagnostic and therapeutic problems in medicine. A basic prerequisite for applying optical techniques in medicine is the understanding of the physical properties of light, the light propagation in and its interaction with tissue. The lecture gives inside into the generation, propagation and detection of light, its propagation in tissue and into selected optical applications in medicine. Various optical imaging techniques (optical coherence tomography or optoacoustics) as well as therapeutic laser applications (refractive surgery, photodynamic therapy or nanosurgery) will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | will be provided via Internet (Ilias) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - M. Born, E. Wolf, "Principles of Optics", Pergamon Press - B.E.A. Saleh, M.C. Teich, "Fundamentals of Photonics", John Wiley and Sons, Inc. - O. Svelto, "Principles of Lasers", Plenum Press - J. Eichler, T. Seiler, "Lasertechnik in der Medizin", Springer Verlag - M.H. Niemz, "Laser-Tissue Interaction", Springer Verlag - A.J. Welch, M.J.C. van Gemert, "Optical-thermal response of laser-irradiated tissue", Plenum Press | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Language of instruction: English This is the same course unit (465-0952-00L) with former course title "Medical Optics". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Biologiefächer | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0398-10L | Physiology and Anatomy for Biomedical Engineers II | W | 3 KP | 2G | M. Wyss | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course offers an introduction into the structure and function of the human body, and how these are interlinked. The visualization of anatomy is also supported by 3D-animation. Medical imaging modalities such as Computed Tomography and Magnetic Resonance imaging will be discussed in passing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be able to identify and enumerate important anatomical structures to describe basic physiological processes of the human body to use a 3d animation database/software to use 'anatomical language' to retrieve anatomical structures to understand basic medical terminology | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Digestive system, nutrition and digestion Thermal balance and thermoregulation Kidneys and urinary system Endocrine system and hormones Reproductive System Basic anatomy of neck, face and cranium Basics of neurophysiology and neuroanatomy Sensory organs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes and handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Silbernagl S., Despopoulos A. Color Atlas of Physiology; Thieme 2008 Faller A., Schuenke M. The Human Body; Thieme 2004 Netter F. Atlas of human anatomy; Elsevier 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0945-11L | Cell and Molecular Biology for Engineers Students who have taken the semester course 227-0945-00L Cell and Molecular Biology for Engineers I, 227-0945-10L Cell and Molecular Biology for Engineers II or the year-long course before FS23 cannot earn credit points for this course. | W | 6 KP | 4G | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course gives an introduction into cellular and molecular biology, specifically for students with a background in engineering. The focus will be on the basic organization of eukaryotic cells, molecular mechanisms and cellular functions. Textbook knowledge will be combined with results from recent research and technological innovations in biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After completing this course, engineering students will be able to apply their previous training in the quantitative and physical sciences to modern biology. Students will also learn the principles how biological models are established, and how these models can be tested. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Lectures will include the following topics: DNA, chromosomes, genome engineering, RNA, proteins, genetics, synthetic biology, gene expression, membrane structure and function, vesicular traffic, cellular communication, energy conversion, cytoskeleton, cell cycle, cellular growth, apoptosis, autophagy, cancer and stem cells. In addition, 3 journal clubs will be held, where recent publications will be discussed. For each journal club, students (alone or in groups of up to four students) have to write a summary and discussion of the publication. These written documents will be graded and count as 30% for the final grade. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Scripts of all lectures will be available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | "Molecular Biology of the Cell" (7th international student edition) by Alberts, Heald, Johnson, Morgan, Raff, Roberts, and Walter. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Molecular Bioengineering | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kernfächer der Vertiefung Während des Studiums müssen mindestens 12 KP aus Kernfächern einer Vertiefung (Track) erreicht werden. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0622-00L | Measuring on the Nanometer Scale | W | 2 KP | 2G | A. Stemmer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Conventional techniques to analyze nano structures using photons and electrons: light microscopy with dark field and differential interference contrast; scanning electron microscopy, transmission electron microscopy. Interferometric and other techniques to measure distances. Optical traps. Foundations of scanning probe microscopy: tunneling, atomic force, optical near-field. Interactions between specimen and probe. Current trends, including spectroscopy of material parameters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Slides available via Moodle (registered participants only). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1392-00L | Mechanobiology: Implications for Development, Regeneration and Tissue Engineering | W | 4 KP | 2G | G. Shivashankar | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course will emphasize the importance of mechanobiology to cell determination and behavior. Its importance to regenerative medicine and tissue engineering will also be addressed. Finally, this course will discuss how age and disease adversely alter major mechanosensitive developmental programs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this course is to provide an introduction to the emerging field of “Mechanobiology”. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | We will focus on cells and tissues and introduce the major methods employed in uncovering the principles of mechanobiology. We will first discuss the cellular mechanotransduction mechanisms and how they regulate genomes. This will be followed by an analysis of the mechanobiological underpinnings of cellular differentiation, cell-state transitions and homeostasis. Developing on this understanding, we will then introduce the mechanobiological basis of cellular ageing and its impact on tissue regeneration, including neurodegeneration and musculoskeletal systems. We will then highlight the importance of tissue organoid models as routes to regenerative medicine. We will also discuss the impact of mechanobiology on host-pathogen interactions. Finally, we will introduce the broad area of mechanopathology and the development of cell-state biomarkers as readouts of tissue homeostasis and disease pathologies. Collectively, the course will provide a quantitate framework to understand the mechanobiological processes at cellular scale and how they intersect with tissue function and diseases. Lecture 1: Introduction to the course: forces, signalling and cell behaviour Lecture 2: Methods to engineer and sense mechanobiological processes Lecture 3: Mechanisms of cellular mechanosensing and cytoskeletal remodelling Lecture 4: Nuclear mechanotransduction pathways Lecture 5: Genome organization, regulation and genome integrity Lecture 6: Differentiation, development and reprogramming Lecture 7: Tissue microenvironment, cell behaviour and homeostasis Lecture 8: Cellular aging and tissue regeneration Lecture 9: Neurodegeneration and regeneration Lecture 10: Musculoskeletal systems and regeneration Lecture 11: Tissue organoid models and regenerative medicine Lecture 12: Microbial systems and host-pathogen interactions Lecture13: Mechanopathology and cell-state biomarkers Lecture14: Concluding lecture and case studies | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | n/a | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Topical Scientific Manuscripts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1614-00L | Principles in Tissue Engineering | W | 3 KP | 2V | K. Maniura, M. Rottmar, M. Zenobi-Wong | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Fundamentals in blood coagulation; thrombosis, blood rheology, immune system, inflammation, foreign body reaction on the molecular level and the entire body are discussed. Applications of biomaterials for tissue engineering in different tissues are introduced. Fundamentals in medical implantology, in situ drug release, cell transplantation and stem cell biology are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding of molecular aspects for the application of biodegradable and biocompatible Materials. Fundamentals of tissue reactions (eg. immune responses) against implants and possible clinical consequences will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This class continues with applications of biomaterials and devices introduced in Biocompatible Materials I. Fundamentals in blood coagulation; thrombosis, blood rheology; immune system, inflammation, foreign body reaction on the level of the entire body and on the molecular level are introduced. Applications of biomaterials for tissue engineering in the vascular system, skeletal muscle, heart muscle, tendons and ligaments, bone, teeth, nerve and brain, and drug delivery systems are introduced. Fundamentals in medical implantology, in situ drug release, cell transplantation and stem cell biology are discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts provided during the classes and references therin. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | The molecular Biology of the Cell, Alberts et al., 5th Edition, 2009. Principles in Tissue Engineering, Langer et al., 2nd Edition, 2002 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Wahlfächer der Vertiefung Diese Fächer sind für die Vertiefung in Molecular Bioengineering besonders empfohlen. Bei abweichender Fächerwahl konsultieren Sie bitte den Track Adviser. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0628-00L | Scanning Probe Microscopy Lab Limited number of participants. Please address your application to Andreas Stemmer (astemmer@ethz.ch). Simultaneous enrolment in 151-0622-00L Measuring on the Nanometer Scale is required. | W | 2 KP | 2P | A. Stemmer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Practical application of scanning probe microscopy techniques in the field of nanoscale and molecular electronics. Limited access. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Design, realisation, evaluation, and interpretation of experiments in scanning probe microscopy. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Application required! The number of participants is limited. Deadline 02.06.2023 2.5-day hands-on block course taught in small groups after the end of the semester in our labs in Rüschlikon in June / early July. Course dates are arranged individually with participants. Enrollment in the Master course 151-0622-00L Measuring on the Nanometer Scale is required. Applications include (i) a summary of your research experience in micro and nanoscale science, (ii) a short description of your goals for the next three years, and (iii) a statement of what you personally expect to gain from attending this course. Send applications to Andreas Stemmer astemmer@ethz.ch | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 151-0630-00L | Nanorobotics | W | 4 KP | 2V + 1U | S. Pané Vidal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Nanorobotics is an interdisciplinary field that includes topics from nanotechnology and robotics. The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. These topics include basic principles of nanorobotics, building parts for nanorobotic systems, powering and locomotion of nanorobots, manipulation, assembly and sensing using nanorobots, molecular motors, and nanorobotics for nanomedicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0636-00L | Soft and Biohybrid Robotics | W | 4 KP | 3G | R. Katzschmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Soft and biohybrid robotics are emerging fields taking inspiration from nature to create robots that are inherently safer to interact with. You learn how to create structures, actuators, sensors, models, controllers, and machine learning architectures exploiting the deformable nature of soft robots. You also learn how to apply soft robotic principles to challenges of your research domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Learning Objective 1: Solve a robotics challenge with a soft robotic design Step 1: Formulate suitable functional requirements for the challenge Step 2: Select soft robotic actuator material Step 3: Design and fabrication approach suitable for the challenge Step 4: Basic controller for robotic functionality Learning Objective 2: Formulate modeling, control, and learning frameworks for highly articulated robots in real-life scenarios Step 1: Formulate the dynamic skills needed for the real-life scenario Step 2: Pick + combine suitable multiphysics modeling, control + learning techniques for this scenario Step 3: Evaluate the modeling/control approach for a real-life scenario Step 4: Modify and enhance the modeling/control approach and repeat the evaluation Step 5: Choose a learning approach for complex robotic skills Learning Objective 3: Apply the principles of mechanical impedance and embodied intelligence to soft robotic challenges in various domains Step 1: Identify the moving aspects of the problem Step 2: Choose and design the passive and actively-controlled degrees of freedom Step 3: Pick the actuation material based on suitability to your challenge Step 4: Design in detail multiple combinations of body and brain Step 5: Simulate, build, test, fail, and repeat this often and quickly until the soft robot works for simple settings Step 6: Upgrade and validate the robot for a suitable performance under real-world conditions Learning Objective 4: Rethink robotic approaches by moving towards designs made of living materials Step 1: Identify what problems could be easier to solve with a complex living material Step 2: Scout for available works that have potentially tackled the problem with a living material Step 3: Formulate a hypothesis for your new approach with a living material Step 4: Design a minimum viable prototype (MVP) that suitably highlights your new approach | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Students will learn about the latest research advances in material technologies, fabrication, modeling, and machine learning to design, simulate, build, and control soft and biohybrid robots. Part 1: Functional and intelligent materials for use in soft and biohybrid robotic applications Part 2: Design and design morphologies of soft robotic actuators and sensors Part 3: Fabrication techniques including 3D printing, casting, roll-to-roll, tissue engineering Part 4: Biohybrid robotics including microrobots and macrorobots; tissue engineering Part 5: Mechanical modeling including minimal parameter models, finite-element models, and ML-based models Part 6: Closed-loop controllers of soft robots that exploit the robot's impedance and dynamics for locomotion and manipulation tasks Part 7: Machine Learning approaches to soft robotics, for design synthesis, modeling, and control Regular assignments throughout the semester will teach the participants to implement the skills and knowledge learned during the class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | All class materials including slides, recordings, assignments, pre-reads, and tutorials can be found on the Moodle page of the class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | 1) Yasa et al. "An Overview of Soft Robotics." Annu. Rev. Control Robot. Auton. Syst. (2023). 6:1–29. 2) Polygerinos et al. "Soft robotics: Review of fluid‐driven intrinsically soft devices; manufacturing, sensing, control, and applications in human‐robot interaction." Advanced Engineering Materials 19.12 (2017): 1700016. 3) Cianchetti, et al. "Biomedical applications of soft robotics." Nature Reviews Materials 3.6 (2018): 143-153. 4) Ricotti et al. "Biohybrid actuators for robotics: A review of devices actuated by living cells." Science Robotics 2.12 (2017). 5) Sun et al. "Biohybrid robotics with living cell actuation." Chemical Society Reviews 49.12 (2020): 4043-4069. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | - Prerequesites are dynamics, controls, and intro to robotics. - Only for students at master or PhD level. - Due to the limited places, the priority goes first to students from the Robotics, Systems and Control Master and second to the other study programs where the course is offered. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0946-00L | Macromolecular Engineering: Networks and Gels | W | 4 KP | 4G | M. Tibbitt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course will provide an introduction to the design and physics of soft matter with a focus on polymer networks and hydrogels. The course will integrate fundamental aspects of polymer physics, engineering of soft materials, mechanics of viscoelastic materials, applications of networks and gels in biomedical applications including tissue engineering, 3D printing, and drug delivery. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The main learning objectives of this course are: 1. Identify the key characteristics of soft matter and the properties of ideal and non-ideal macromolecules. 2. Calculate the physical properties of polymers in solution. 3. Predict macroscale properties of polymer networks and gels based on constituent chemical structure and topology. 4. Design networks and gels for industrial and biomedical applications. 5. Read and evaluate research papers on recent research on networks and gels and communicate the content orally to a multidisciplinary audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Class notes and handouts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Polymer Physics by M. Rubinstein and R.H. Colby; samplings from other texts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Physics I+II, Thermodynamics I+II | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0946-00L | Molecular Imaging - Basic Principles and Biomedical Applications | W | 3 KP | 2V + 1A | D. Razansky | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Concept: What is molecular imaging. Discussion/comparison of the various imaging modalities used in molecular imaging. Design of target specific probes: specificity, delivery, amplification strategies. Biomedical Applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Molecular Imaging is a rapidly emerging discipline that translates concepts developed in molecular biology and cellular imaging to in vivo imaging in animals and ultimatly in humans. Molecular imaging techniques allow the study of molecular events in the full biological context of an intact organism and will therefore become an indispensable tool for biomedical research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Concept: What is molecular imaging. Discussion/comparison of the various imaging modalities used in molecular imaging. Design of target specific probes: specificity, delivery, amplification strategies. Biomedical Applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 327-1206-00L | Advanced Building Blocks for Soft Materials | W | 5 KP | 4G | E. Dufresne, A. Anastasaki | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Part 1 of the course (Spring semester) focuses on the chemistry of the building blocks and to learn how structures can be manipulated by chemistry, composition and phase behaviour. The goal is to learn what can be done, both in an idealized research environment and in the realm of industrial scale production. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of the two courses combined is to present the students with a toolbox for materials engineers to design, study and make soft materials. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Where physics, chemistry and biology meet engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Copies of the slides and a set of lecture notes will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | For the first and the second part combined there are a few books of recommended reading, but their is no textbook that we will rigorously follow. Introduction to Soft Matter: Synthetic and Biological Self-Assembling Materials Paperback by Ian W. Hamley ISBN-13: 978-0470516102 ISBN-10: 0470516100 Structured Fluids: Polymers, Colloids, Surfactants by Thomas A. Witten, Philip A. Pincus (OXford) ISBN-13: 978-0199583829 ISBN-10: 019958382X | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0638-00L | MaP Distinguished Lecture Series on Engineering with Living Materials This course is primarily designed for MSc and doctoral students. Guests are welcome. Former title: MaP Distinguished Lecture Series on Soft Robotics | W | 1 KP | 2S | R. Katzschmann, M. Filippi, X.‑H. Qin, Z. Zhang | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is an interdisciplinary colloquium on the engineering of biohybrid systems and robotics. Internationally renowned speakers from academia and industry give lectures about their cutting-edge research, which highlights the state-of-the-art and frontiers in the field of engineering with living materials and biohybrids. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Participants become acquainted with the state-of-the-art and frontiers in biohybrid systems and robotics, which is a topic of global and future relevance from the field of materials and process engineering. The self-study of relevant literature and active participation in discussions following presentations by internationally renowned speakers stimulate critical thinking and allow participants to deliberately discuss challenges and opportunities with leading academics and industrial experts and to exchange ideas within an interdisciplinary community. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course is a colloquium involving a selected mix of internationally renowned speakers from academia and industry who present their cutting-edge research in the field of engineered systems using living materials. In particular, the course will cover fundamentals of bioengineering at a multicellular level (biofabrication), as well as examples of manufacturing and application of living cells to engineered systems for medical applications and beyond. Speakers will show how to combine living cells with non-living, synthetic materials to realize bio-hybrid systems to be applied to many fields of human life, ranging from biomedicine to robotics, biosensing, ecology, and architecture. It will be shown how bio-hybrid technologies and cutting-edge engineering techniques can support cell proliferation and even enhance their cell functions. The course will cover materials and approaches for the biofabrication of living tissue, seen as a biomedical model for pathophysiological discovery research, or as transplantable grafts for tissue regeneration. Speakers will illustrate how living species can contribute to ecological approaches in town planning (such as CO2 sequestration), sensing and processor technologies enabled by connective and signaling abilities of cells, and motile systems actuated by contractile cells (bio-hybrid robots). The main learning objective is to learn about: materials and techniques to build intelligent biological systems for future, sustainable societies; mechanisms of cell and tissue programmability; and applications in bio-robotics, communication, sensing technologies, and medical engineering. The self-study of relevant pre-read literature provided in advance of each lecture serves as a basis for active participation in the critical discussions following each presentation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Selected scientific pre-read literature (around two articles per lecture) relevant for and discussed during the lectures is posted in advance on the course web page. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course is taught by a selection of internationally renowned speakers from academia and industry working in the field of bio-hybrid systems and robotics. This lecture series is focusing on the recent trends in engineering with living materials. Participants should have a background in tissue engineering, material science, and/or robotics. To obtain credits, students need to: (i) attend 80% of all lectures; (ii) submit a one-page abstract of 3 different lectures. The performance will be assessed with a "Pass/Fail" format. On-site attendance to the lectures is preferred to foster in-person contacts. However, for lectures given by online speakers, a Zoom link to attend remotely will be provided on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 376-1620-00L | Skeletal Repair | W | 3 KP | 3G | S. Grad, M. D'Este, F. Moriarty, M. Stoddart | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course gives an introduction into traumatic and degenerative pathologies of skeletal tissues. Emphasis is put on bone, cartilage and intervertebral disc. Established and new treatments are described, including cell, gene and molecular therapy, biomaterials, tissue engineering and infection prevention. In vitro/in vivo models are explained. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objectives of this course are to acquire a basic understanding of (1) important pathologies of skeletal tissues and their consequences for the patient and the public health (2) current surgical approaches for skeletal repair, their advantages and drawbacks (3) recent advances in biological strategies for skeletal repair, such as (stem) cell therapy, gene therapy, biomaterials and tissue engineering (4) pathology, prevention and treatment of implant associated infections (5) in vitro and in vivo models for basic, translational and pre-clinical studies | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | According to the expected background knowledge, the cellular and extracellular composition and the structure of the skeletal tissues, including bone, cartilage, intervertebral disc, ligament and tendon will briefly be recapitulated. The functions of the healthy tissues and the impact of acute injury (e.g. bone fracture) or progressive degenerative failure (e.g. osteoarthritis) will be demonstrated. Physiological self-repair mechanisms, their limitations, and current (surgical) treatment options will be outlined. Particular emphasis will be put on novel approaches for biological repair or regeneration of critical bone defects, damaged hyaline cartilage of major articulating joints, and degenerative intervertebral disc tissues. These new treatment options include autologous cell therapies, stem cell applications, bioactive factors, gene therapy, biomaterials or biopolymers; while tissue engineering / regenerative medicine is considered as a combination of some of these factors. In vitro bioreactor systems and in vivo animal models will be described for preclinical testing of newly developed materials and techniques. Bacterial infection as a major complication of invasive treatment will be explained, covering also established and new methods for its effective inhibition. Finally, the translation of new therapies for skeletal repair from the laboratory to the clinical application will be illustrated by recent developments. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Basic knowledge in the cellular and molecular composition, structure and function of healthy skeletal tissues, especially bone, cartilage and intervertebral disc are required; furthermore, basic understanding of biomaterial properties, cell-surface interactions, and bacterial infection are necessary to follow this course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1624-00L | Practical Methods in Biofabrication | W | 5 KP | 4P | S. J. Ferguson, P. Chansoria, A. Puiggali-Jou, S. Schürle-Finke, weitere Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Biofabrication involves the assembly of materials, cells, and biological building blocks into grafts for tissue engineering and in vitro models. The student learns techniques involving the fabrication and characterization of tissue engineered scaffolds and the design of 3D models based on medical imaging data. They apply this knowledge to design, manufacture and evaluate a biofabricated graft. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objective of this course is to give students hands-on experience with the tools required to fabricate tissue engineered grafts. During the first part of this course, students will gain practical knowledge in hydrogel synthesis and characterization, fuse deposition modelling and stereolithography, bioprinting and bioink design, electrospinning, and cell culture and viability testing. They will also learn the properties of common biocompatible materials used in fabrication and how to select materials based on the application requirements. The students learn principles for design of 3D models. Finally the students will apply their knowledge to a problem-based Project in the second half of the Semester. The Project requires significant time outside of class Hours, strong commitment and ability to work independently. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Not recommended if passed 376-1622-00 Practical Methods in Tissue Engineering | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 402-0342-00L | Medical Physics II | W | 6 KP | 2V + 1U | P. Manser | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Applications of ionizing radiation in medicine such as radiation therapy, nuclear medicine and radiation diagnostics. Theory of dosimetry based on cavity theory and clinical consequences. Fundamentals of dose calculation, optimization and evaluation. Concepts of external beam radiation therapy and brachytherapy. Recent and future developments: IMRT, IGRT, SRS/SBRT, particle therapy. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Getting familiar with the different medical applications of ionizing radiation in the fields of radiation therapy, nuclear medicine, and radiation diagnostics. Dealing with concepts such as external beam radiation therapy as well as brachytherapy for the treatment of cancer patients. Understanding the fundamental cavity theory for dose measurements and its consequences on clinical practice. Understanding different delivery techniques such as IMRT, IGRT, SRS/SBRT, brachytherapy, particle therapy using protons, heavy ions or neutrons. Understanding the principles of dose calculation, optimization and evaluation for radiation therapy, nuclear medicine and radiation diagnostic applications. Finally, the lecture aims to demonstrate that medical physics is a fascinating and evolving discipline where physics can directly be used for the benefits of patients and the society. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | In this lecture, the use of ionizing radiation in different clinical applications is discussed. Primarily, we will concentrate on radiation therapy and will cover applications such as external beam radiotherapy with photons and electrons, intensity modulated radiotherapy (IMRT), image guided radiotherapy (IGRT), stereotactic radiotherapy and radiosurgery, brachytherapy, particle therapy using protons, heavy ions or neutrons. In addition, dosimetric methods based on cavity theory are reviewed and principles of treatment planning (dose calculation, optimization and evaluation) are discussed. Next to these topics, applications in nuclear medicine and radiation diagnostics are explained with the clear focus on dosimetric concepts and behaviour. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | A script will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | It is recommended that the students have taken the lecture Medical Physics I in advance. For students of the MAS in Medical Physics (Specialization A) the performance assessment is offered at the earliest in the second year of the studies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 551-1132-00L | Allgemeine Virologie | W | 2 KP | 1V | K. Tobler, C. Fraefel | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Einführung in die Grundlagen der Virologie, welche die Charakterisierung von Viren, die Interaktionen der Viren mit infizierten Zellen, Wirten und Populationen, die Grundlagen des Schutzes vor Infektion und die Virusdiagnostik beinhaltet. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Einführung in die Grundlagen der Virologie. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Grundlagen der Virologie. Charakterisierung von Viren. Virus-Zell-Interaktionen. Virus-Wirt-Interaktionen. Virus-Population-Interaktionen. Schutz vor Virusinfektion. Virusdiagnostik. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Die Vorlesung ist auf dem Lehrbuch "Allgemeine Virologie" von Kurt Tobler, Mathias Ackermann und Cornel Fraefel aufgebaut. Die Präsentationsfolien und ausgewählte Primärliteratur werden 24 bis 48 Stunden vor den Lektionen als .pdf-Dateien bereitgestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Kurt Tobler, Mathias Ackermann und Cornel Fraefel, Allgemeine Virologie, 2021, 2. Auflage UTB-Band-Nr.:4516 Haupt Verlag Bern ISBN: 978-3-8252-5630-2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Grundkenntnisse in Molekularbiologie, Zellbiologie und Immunologie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 636-0110-00L | ImmunoEngineering | W | 4 KP | 3V | S. Reddy, A. D. Yermanos | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Immunoengineering is an emerging area of research that uses technology and engineering principles to understand and manipulate the immune system. This is a highly interdisciplinary field and thus the instructor will present an integrated view that will include basic immunology, systems immunology, and synthetic immunology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objective of this course is to introduce the students to the basic principles and applications of Immunoengineering. There will be an emphasis directed towards applications directly relevant in immunotherapy and biotechnology. This course requires prerequisite knowledge of molecular biology, biochemistry, cell biology, and genetics; these subjects will only be reviewed briefly during the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Immunoengineering will be divided into three primary sections: i) basic principles in immunology; ii) systems immunology; iii) synthetic immunology. I. Basic principles in immunology will cover the foundational concepts of innate and adaptive immunity. Topics include immunogenetics, pattern recognition receptors, lymphocyte receptors, humoral and T cell responses. II. Systems immunology uses quantitative multiscale measurements and computational biology to describe and understand the complexity of the immune system. In this section we will cover high-throughput methods that are used to understand and profile immune responses. III. Synthetic immunology is based on using methods in molecular and cellular engineering to control immune cell function and behavior. In this section students will learn about how immune receptors and cells are being engineered for applications such as cancer immunotherapy and precision and personalized medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Reading material from Janeway's Immunobiology will be distributed, so students do not need to worry about purchasing or obtaining it. Supporting reading material from research articles will be provided to students. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course requires prerequisite knowledge of molecular biology, biochemistry, cell biology, and genetics; these subjects will only be reviewed briefly during the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 636-0111-00L | Synthetic Biology I | W | 4 KP | 3G | S. Panke, J. Stelling | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Theoretical & practical introduction into the design of dynamic biological systems at different levels of abstraction, ranging from biological fundamentals of systems design (introduction to bacterial gene regulation, elements of transcriptional & translational control, advanced genetic engineering) to engineering design principles (standards, abstractions) mathematical modelling & systems desig | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After the course, students will be able to theoretically master the biological and engineering fundamentals required for biological design to be able to participate in the international iGEM competition. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The overall goal of the course is to familiarize the students with the potential, the requirements and the problems of designing dynamic biological elements that are of central importance for manipulating biological systems, primarily (but not exclusively) prokaryotic systems. Next, the students will be taken through a number of successful examples of biological design, such as toggle switches, pulse generators, and oscillating systems, and apply the biological and engineering fundamentals to these examples, so that they get hands-on experience on how to integrate the various disciplines on their way to designing biological systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts during classes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Mark Ptashne, A Genetic Switch (3rd ed), Cold Spring Haror Laboratory Press Uri Alon, An Introduction to Systems Biology, Chapman & Hall | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | 1) Though we do not place a formal requirement for previous participation in particular courses, we expect all participants to be familiar with a certain level of biology and of mathematics. Specifically, there will be material for self study available on https://bsse.ethz.ch/bpl/education/lectures/synthetic-biology-i/download.html as of mid January, and everybody is expected to be fully familiar with this material BEFORE THE CLASS BEGINS to be able to follow the different lectures. Please contact sven.panke@bsse.ethz.ch for access to material 2) The course is also thought as a preparation for the participation in the international iGEM synthetic biology summer competition (www.syntheticbiology.ethz.ch, http://www.igem.org). This competition is also the contents of the course Synthetic Biology II. https://bsse.ethz.ch/bpl/education/lectures/synthetic-biology-i/download.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 227-0398-10L | Physiology and Anatomy for Biomedical Engineers II | W | 3 KP | 2G | M. Wyss | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course offers an introduction into the structure and function of the human body, and how these are interlinked. The visualization of anatomy is also supported by 3D-animation. Medical imaging modalities such as Computed Tomography and Magnetic Resonance imaging will be discussed in passing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be able to identify and enumerate important anatomical structures to describe basic physiological processes of the human body to use a 3d animation database/software to use 'anatomical language' to retrieve anatomical structures to understand basic medical terminology | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Digestive system, nutrition and digestion Thermal balance and thermoregulation Kidneys and urinary system Endocrine system and hormones Reproductive System Basic anatomy of neck, face and cranium Basics of neurophysiology and neuroanatomy Sensory organs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes and handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Silbernagl S., Despopoulos A. Color Atlas of Physiology; Thieme 2008 Faller A., Schuenke M. The Human Body; Thieme 2004 Netter F. Atlas of human anatomy; Elsevier 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0949-10L | Biological Methods for Engineers (Advanced Lab) Limited number of participants. Students of the MSc in Biomedical Engineering have priority. | W | 4 KP | 9P | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The 2 week-long, full-time block course covers basic laboratory skills and safety, cell culture, protein analysis, RNA/DNA Isolation and RT-PCR. Each topic will be introduced, followed by practical work at the bench. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this laboratory course is to give students practical exposure to basic techniques of cell and molecular biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The goal of this laboratory course is to give students practical exposure to basic techniques of cell and molecular biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Enrollment is limited and preference given to students in the Masters of Biomedical Engineering program. Due to extensive overlap with "Biological Methods for Engineers" (Basic Lab; 227-0949-00L during the autumn semester), students can only take one of the courses (Basic Lab or Extended Lab). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0945-11L | Cell and Molecular Biology for Engineers Students who have taken the semester course 227-0945-00L Cell and Molecular Biology for Engineers I, 227-0945-10L Cell and Molecular Biology for Engineers II or the year-long course before FS23 cannot earn credit points for this course. | W | 6 KP | 4G | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course gives an introduction into cellular and molecular biology, specifically for students with a background in engineering. The focus will be on the basic organization of eukaryotic cells, molecular mechanisms and cellular functions. Textbook knowledge will be combined with results from recent research and technological innovations in biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After completing this course, engineering students will be able to apply their previous training in the quantitative and physical sciences to modern biology. Students will also learn the principles how biological models are established, and how these models can be tested. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Lectures will include the following topics: DNA, chromosomes, genome engineering, RNA, proteins, genetics, synthetic biology, gene expression, membrane structure and function, vesicular traffic, cellular communication, energy conversion, cytoskeleton, cell cycle, cellular growth, apoptosis, autophagy, cancer and stem cells. In addition, 3 journal clubs will be held, where recent publications will be discussed. For each journal club, students (alone or in groups of up to four students) have to write a summary and discussion of the publication. These written documents will be graded and count as 30% for the final grade. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Scripts of all lectures will be available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | "Molecular Biology of the Cell" (7th international student edition) by Alberts, Heald, Johnson, Morgan, Raff, Roberts, and Walter. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Projekte und Praktika | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Semester-Projekt (Semesterarbeit) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1772-10L | Semester Project Registration in mystudies required! | O | 12 KP | 20A | Betreuer/innen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Die Semesterarbeit leitet die Studierenden zu selbstständigem wissenschaftlichen Arbeiten an. Mit der Studienarbeit können die technischen und auch die sozialen Fähigkeiten gefördert werden. Die Studienarbeit wird von einem Professor geleitet. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | siehe oben | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1101-00L | How to Write Scientific Texts Strongly recommended prerequisite for Semester Projects, Bachelor's, and Master Theses at D-ITET (MSc BME, BSc/MSc EEIT, MSc EST and MSc QE). | E- | 0 KP | U. Koch | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The four hour lecture covers the basics of writing and presenting of scientific work. The focus is on the structure and the main elements of a scientific text rather than the language. Citation rules, good practice of scientific writing and an overview on software tools are part of the training. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | - Knowledge on structure and content of scientific texts and presentations - Stimulation of a discussion on how to write a scientific text versus an interesting novel - Discussion of the practice of proper citing and critical reflection on plagiarism | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | * Topic 1: Structure of Scientific Texts (title, author list, abstract, state-of-the-art, "in this paper" paragraph, scientific part, summary, equations, figures) * Topic 2: Structure of Scientific Presentations * Topic 3: Citation Rules and Citation Software * Topic 4: Guidelines for Research Integrity The lecture will be given in two parts on two afternoons. Some exercises will be built into the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | ETH "Citation Etiquette", see https://ethz.ch/students/en/studies/performance-assessments/plagiarism.html ETH "Guidelines for Research Integrity", see Link | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students should be writing either a bachelor/semester/master thesis or a scientific publication in the immediate future. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Weitere Projekte und Praktika | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1772-20L | Semester Project 2 Registration in mystudies required! | W | 12 KP | 20A | Betreuer/innen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The semester project is designed to train the students in solving specific biomedical engineering problems. This project uses the technical and social skills acquired during the master's program. The semester project ist advised by a professor. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | see above | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1760-10L | Research Project (6 credits) Must be completed before the start of the master's thesis | W | 6 KP | 11A | Betreuer/innen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The five-weeks (full-time) short research project can be done at a research or non-research institution in Switzerland or abroad, but not in a pure industry setting. The project can be done alone or in groups of students, and it is finished with a report and/or prototype. The project must be finished before the start of the Master project. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | see above | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1760-20L | Research Project (12 credits) Must be completed before the start of the master's thesis | W | 12 KP | 26A | Betreuer/innen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The ten-weeks (full-time) research project can be done at a research or non-research institution in Switzerland or abroad, but not in a pure industry setting. The project can be done alone or in groups of students, and it is finished with a report and/or prototype. The project must be finished before the start of the Master project. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | see above | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1760-30L | Research Project (18 credits) Must be completed before the start of the master's thesis | W | 18 KP | 39A | Betreuer/innen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The fifteen-weeks (full-time) research project can be done at a research or non-research institution in Switzerland or abroad, but not in a pure industry setting. The project can be done alone or in groups of students, and it is finished with a report and/or prototype. The project must be finished before the start of the Master project. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | see above | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1760-00L | Research Project (24 credits) Must be completed before the start of the master's thesis | W | 24 KP | 51A | Betreuer/innen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The aim of the long research project is to perform a larger (exploratory) scientific study or a larger development project in a team. It is carried out at ETH Zurich (or at a research or non-research institution in Switzerland or abroad, but *not* in a pure industry setting). The duration of this project is at least 20 weeks (full-time) and it is finished with a report and/or prototype. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | see above | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1750-00L | Internship in Industry | W | 12 KP | externe Veranstalter | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Es ist das Ziel der 12-wöchigen Praxis (Vollzeit), Master-Studierenden die industriellen Arbeitsumgebungen näher zu bringen. Während dieser Zeit bietet sich ihnen die Gelegenheit, in aktuelle Projekte der Gastinstitution involviert zu werden. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | siehe oben | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Master-Arbeit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1700-00L | Master's Thesis Admission only if all the following apply: a. bachelor program successful completed; b. any additional requirements necessary to gain admission to the master program BME have been successfully completed; c. both the semester project and (if applicable) the internship successfully completed. Registration in myStudies required! | O | 30 KP | 40D | Betreuer/innen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Die Masterarbeit bildet den Abschluss des Master-Studiengangs. Sie umfasst in einem Bericht die Ergebnisse eines sechsmonatigen Forschungsprojekts. Die Studierenden haben damit belegt, dass sie eine wissenschaftliche Arbeit über ein spezifisches Problem selbstständig ausführen können. Die Diplomarbeit wird von einem Professor geleitet. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | siehe oben | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-1101-00L | How to Write Scientific Texts Strongly recommended prerequisite for Semester Projects, Bachelor's, and Master Theses at D-ITET (MSc BME, BSc/MSc EEIT, MSc EST and MSc QE). | E- | 0 KP | U. Koch | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The four hour lecture covers the basics of writing and presenting of scientific work. The focus is on the structure and the main elements of a scientific text rather than the language. Citation rules, good practice of scientific writing and an overview on software tools are part of the training. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | - Knowledge on structure and content of scientific texts and presentations - Stimulation of a discussion on how to write a scientific text versus an interesting novel - Discussion of the practice of proper citing and critical reflection on plagiarism | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | * Topic 1: Structure of Scientific Texts (title, author list, abstract, state-of-the-art, "in this paper" paragraph, scientific part, summary, equations, figures) * Topic 2: Structure of Scientific Presentations * Topic 3: Citation Rules and Citation Software * Topic 4: Guidelines for Research Integrity The lecture will be given in two parts on two afternoons. Some exercises will be built into the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | ETH "Citation Etiquette", see https://ethz.ch/students/en/studies/performance-assessments/plagiarism.html ETH "Guidelines for Research Integrity", see Link | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students should be writing either a bachelor/semester/master thesis or a scientific publication in the immediate future. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Wissenschaft im Kontext | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| » Empfehlungen aus Wissenschaft im Kontext (Typ B) für das D-ITET | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| » siehe Wissenschaft im Kontext: Sprachkurse ETH/UZH | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| » siehe Wissenschaft im Kontext: Typ A: Förderung allgemeiner Reflexionsfähigkeiten | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||