Search result: Catalogue data in Spring Semester 2021
|Mechanical Engineering Bachelor|
| Biomedical Engineering|
Focus Coordinator: Prof. Bradley Nelson
|151-0515-00L||Continuum Mechanics 2||W||4 credits||2V + 1U||E. Mazza, R. Hopf|
|Abstract||An introduction to finite deformation continuum mechanics and nonlinear material behavior. Coverage of basic tensor- manipulations and calculus, descriptions of kinematics, and balance laws . Discussion of invariance principles and mechanical response functions for elastic materials.|
|Objective||To provide a modern introduction to the foundations of continuum mechanics and prepare students for further studies in solid|
mechanics and related disciplines.
|Content||1. Tensors: algebra, linear operators|
2. Tensors: calculus
3. Kinematics: motion, gradient, polar decomposition
4. Kinematics: strain
5. Kinematics: rates
6. Global Balance: mass, momentum
7. Stress: Cauchy's theorem
8. Stress: alternative measures
9. Invariance: observer
10. Material Response: elasticity
|Literature||Recommended texts: |
(1) Nonlinear solid mechanics, G.A. Holzapfel (2000).
(2) An introduction to continuum mechanics, M.B. Rubin (2003).
|151-0540-00L||Experimental Mechanics||W||4 credits||2V + 1U||J. Dual, T. Brack|
|Abstract||1. General aspects like transfer functions, vibrations, modal analysis, statistics, digital signal processing, phase locked loop, 2. Optical methods 3. Piezoelectricity 4. Electromagnetic excitation and detection 5. Capacitive Detection|
|Objective||Understanding, quantitative modelling and practical application of experimental methods for producing and measuring mechanical quantities (motion, deformation, stresses,..)|
|Content||1. General Aspects: Measurement chain, transfer functions, vibrations and waves in continuous systems, modal analysis, statistics, digital signal analysis, phase locked loop. 2. Optical methods ( acousto optic modulation, interferometry, holography, photoelasticity, shadow optics, Moire methods ) 3. Piezoelectric materials: basic equations, applications, accelerometer ) 4. Electomagnetic excitation and detection, 5. Capacitive detection|
Practical training and homeworks
|Prerequisites / Notice||Prerequisites: Mechanics I to III, Physics, Elektrotechnik|
|151-0630-00L||Nanorobotics||W||4 credits||2V + 1U||S. Pané Vidal|
|Abstract||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.|
|Objective||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.|
|151-0641-00L||Introduction to Robotics and Mechatronics |
Number of participants limited to 45.
Enrollment is only valid through registration on the MSRL website (www.msrl.ethz.ch). Registrations per e-mail is no longer accepted!
|W||4 credits||2V + 2U||B. Nelson, N. Shamsudhin|
|Abstract||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.|
|Objective||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.
|Content||The course consists of weekly lectures and lab sessions. The weekly topics are the following:|
0. Course Introduction
1. C Programming
3. Data Acquisition
4. Signal Processing
5. Digital Filtering
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)
|Prerequisites / Notice||The students are expected to be familiar with C programming.|
|151-0946-00L||Macromolecular Engineering: Networks and Gels||W||4 credits||4G||M. Tibbitt|
|Abstract||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.|
|Objective||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.|
|Lecture notes||Class notes and handouts.|
|Literature||Polymer Physics by M. Rubinstein and R.H. Colby; samplings from other texts.|
|Prerequisites / Notice||Physics I+II, Thermodynamics I+II|
|151-0980-00L||Biofluiddynamics||W||4 credits||2V + 1U||D. Obrist, P. Jenny|
|Abstract||Introduction to the fluid dynamics of the human body and the modeling of physiological flow processes (biomedical fluid dynamics).|
|Objective||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.|
|Content||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.|
|Lecture notes||Lecture notes are provided electronically.|
|Literature||A list of books on selected topics of biofluiddynamics can be found on the course web page.|
|376-0022-00L||Imaging and Computing in Medicine||W||4 credits||3G||R. Müller, C. J. Collins|
|Abstract||Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamentals as well as modern techniques and methods of imaging and computing in medicine.|
|Objective||1. Understanding and practical implementation of biosignal processes methods for imaging |
2. Understanding of imaging techniques including radiation imaging, radiographic imaging systems, computed tomography imaging, diagnostic ultrasound imaging, and magnetic resonance imaging
3. Knowledge of computing, programming, modelling and simulation fundamentals
4. Computational and systems thinking as well as scripting and programming skills
5. Understanding and practical implementation of emerging computational methods and their application in medicine including artificial intelligence, deep learning, big data, and complexity
6. Understanding of the emerging concept of personalised and in silico medicine
7. Encouragement of critical thinking and creating an environment for independent and self-directed studying
|Content||Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamentals as well as modern techniques and methods of imaging and computing in medicine. For the imaging portion of the course, biosignal processing, radiation imaging, radiographic imaging systems, computed tomography imaging, diagnostic ultrasound imaging, and magnetic resonance imaging are covered. For the computing portion of the course, computing, programming, and modelling and simulation fundamentals are covered as well as their application in artificial intelligence and deep learning; complexity and systems medicine; big data and personalised medicine; and computational physiology and in silico medicine.|
The course is structured as a seminar in three parts of 45 minutes with video lectures and a flipped classroom setup: in the first part (TORQUEs: Tiny, Open-with-Restrictions courses focused on QUality and Effectiveness), students study the basic concepts in short video lectures on the online learning platform Moodle. At the end of this first part, students are able to post a number of questions in the Moodle forum or directly in the comments section of the video lecture that will be addressed in the second part of the lectures using a flipped classroom concept. For the flipped classroom, the lecturers may prepare additional teaching material to answer the posted questions and potentially discuss further questions (Q&A). Following the Q&A, the students will form small groups to acquire additional knowledge using online, interactive activities or additionally distributed material and discuss their findings in teams. Learning outcomes will be reinforced with weekly Moodle assignments, to be completed during the flipped classroom portion.
|Lecture notes||Stored on Moodle.|
|Prerequisites / Notice||Lectures will be given in English.|
Primarily designed for Health Sciences and Technology students.
The Biomechatronics lecture is not appropriate for students who already attended the lecture "Physical Human-Robot Interaction"(376-1504-00L), because it covers similar topics.
Matlab skills are beneficial-> online Tutorial http://www.imrtweb.ethz.ch/matlab/
|W||4 credits||3G||R. Gassert, N. Gerig, O. Lambercy, P. Wolf|
|Abstract||Development of mechatronic systems (i.e. mechanics, electronics, computer science and system integration) with inspiration from biology and application in the living (human) organism.|
|Objective||The objective of this course is to give an introduction to the fundamentals of biomechatronics, through lectures on the underlying theoretical/mechatronics aspects and application fields. In the exercises, these concepts will be intensified and trained on the basis of specific examples. The course will guide students through the design and evaluation process of such systems, and highlight a number of applications.|
By the end of this course, you should understand the critical elements of biomechatronics and their interaction with biological systems, both in terms of engineering metrics and human factors. You will be able to apply the learned methods and principles to the design, improvement and evaluation of safe and efficient biomechatronics systems.
|Content||The course will cover the interdisciplinary elements of biomechatronics, ranging from human factors to sensor and actuator technologies, real-time signal processing, system kinematics and dynamics, modeling and simulation, controls and graphical rendering as well as safety/ethical aspects, and provide an overview of the diverse applications of biomechatronics technology.|
|Lecture notes||Slides will be distributed through moodle before the lectures.|
|Literature||Brooker, G. (2012). Introduction to Biomechatronics. SciTech Publishing.|
Riener, R., Harders, M. (2012) Virtual Reality in Medicine. Springer, London.
|Prerequisites / Notice||None|
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