Search result: Catalogue data in Spring Semester 2019

Health Sciences and Technology Master Information
Major in Neurosciences
Electives
Electives Courses I
NumberTitleTypeECTSHoursLecturers
376-1306-00LClinical Neuroscience Information W3 credits3GG. Schratt, University lecturers
AbstractThe lecture series "Clinical Neuroscience" presents a comprehensive, condensed overview of the most important neurological diseases, their clinical presentation, diagnosis, therapy options and possible causes. Patient demonstrations (Übungen) follow every lecture that is dedicated to a particular disease.
ObjectiveBy the end of this module students should be able to:
- demonstrate their understanding and deep knowledge concerning the main neurological diseases
- identify and explain the different clinical presentation of these diseases, the methodology of diagnosis and the current therapies available
- summarize and critically review scientific literature efficiently and effectively
551-0326-00LCell Biology Information W6 credits4VS. Werner, M. Bordoli, R. Henneberger, W. Kovacs, M. Schäfer, U. Suter, A. Wutz
AbstractThis Course introduces principle concepts, techniques, and experimental strategies used in modern Cell Biology. Major topics include: neuron-glia interactions in health and disease; mitochondrial dynamics; stem cell biology; growth factor action in development, tissue repair and disease; cell metabolism, in particular sensing and signaling mechanisms, cell organelles, and lipid metabolism.
Objective-To prepare the students for successful and efficient lab work by learning how to ask the right questions and to use the appropriate techniques in a research project.
-To convey knowledge about neuron-glia interactions in health and disease.
- To provide information on different types of stem cells and their function in health and disease
-To provide information on growth factor signaling in development, repair and disease and on the use of growth factors or their receptors as drug targets for major human diseases
-To convey knowledge on the mechanisms underlying repair of injured tissues
-To provide the students with an overview of mitochondrial dynamics.
-Providing an understanding of RNA processing reactions and their regulations.
-To provide a comprehensive understanding of metabolic sensing mechanisms occurring in different cell types and organelles in response to glucose, hormones, oxygen, nutrients as well as lipids, and to discuss downstream signaling pathways and cellular responses.
-To provide models explaining how disturbances in complex metabolic control networks and bioenergetics can lead to disease and to highlight latest experimental approaches to uncover the intricacies of metabolic control at the cellular and organismal level.
-Providing the background and context that foster cross-disciplinary scientific thinking.
Elective Courses II
NumberTitleTypeECTSHoursLecturers
227-0390-00LElements of MicroscopyW4 credits3GM. Stampanoni, G. Csúcs, A. Sologubenko
AbstractThe 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.
ObjectiveSolid introduction to the basics of microscopy, either with visible light, electrons or X-rays.
ContentIt 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.
LiteratureAvailable Online.
227-0395-00LNeural SystemsW6 credits2V + 1U + 1AR. Hahnloser, M. F. Yanik, B. Grewe
AbstractThis course introduces principles of information processing in neural systems. It covers basic neuroscience for engineering students, experimental techniques used in studies of animal behavior and underlying neural mechanisms. Students learn about neural information processing and basic principles of natural intelligence and their impact on efforts to design artificially intelligent systems.
ObjectiveThis course introduces
- Methods for monitoring of animal behaviors in complex environments
- Information-theoretic principles of behavior
- Methods for performing neurophysiological recordings in intact nervous systems
- Methods for manipulating the state and activity in selective neuron types
- Methods for reconstructing the synaptic networks among neurons
- Information decoding from neural populations,
- Sensorimotor learning, and
- Neurobiological principles for machine learning.
ContentFrom 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.
Prerequisites / NoticeBefore 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 (python) programming project to be defined at the beginning of the semester.
227-1034-00LComputational Vision (University of Zurich) Information
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: INI402

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W6 credits2V + 1UD. Kiper
AbstractThis 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.
ObjectiveThis 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.
ContentThis 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.
LiteratureBooks: (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.
227-1046-00LComputer Simulations of Sensory Systems Information W3 credits2V + 1UT. Haslwanter
AbstractThis 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 (or Matlab). The simulations will be such that their output could be used as input for actual neuro-sensory prostheses.
ObjectiveOur 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!!
ContentThe 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).
Lecture notesFor 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
LiteratureOpen source information is available as wikibook http://en.wikibooks.org/wiki/Sensory_Systems

For good overviews I recommend:
• 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.

• 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.

• P Wallisch, M Lusignan, M. Benayoun, T. I. Baker, A. S. Dickey, and N. G. Hatsopoulos. MATLAB for Neuroscientists, Academic Press, 2009.
Compactly written, it provides a short introduction to MATLAB, as well as a very good overview of MATLAB’s functionality, focusing on applications in different areas of neuroscience.

• 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.
Prerequisites / NoticeSince I have to gravel from Linz, Austria, to Zurich to give this lecture, I plan to hold this lecture in blocks (every 2nd week).
327-2125-00LMicroscopy Training SEM I - Introduction to SEM Restricted registration - show details
Limited number of participants.

Master students will have priority over PhD students. PhD students may still enroll, but will be asked for a fee (http://www.scopem.ethz.ch/education/MTP.html).
W2 credits3PK. Kunze, A. G. Bittermann, S. Gerstl, L. Grafulha Morales, J. Reuteler
AbstractThe introductory course on Scanning Electron Microscopy (SEM) emphasizes hands-on learning. Using 2 SEM instruments, students have the opportunity to study their own samples, or standard test samples, as well as solving exercises provided by ScopeM scientists.
Objective- Set-up, align and operate a SEM successfully and safely.
- Accomplish imaging tasks successfully and optimize microscope performances.
- Master the operation of a low-vacuum and field-emission SEM and EDX instrument.
- Perform sample preparation with corresponding techniques and equipment for imaging and analysis
- Acquire techniques in obtaining secondary electron and backscatter electron micrographs
- Perform EDX qualitative and semi-quantitative analysis
ContentDuring the course, students learn through lectures, demonstrations, and hands-on sessions how to setup and operate SEM instruments, including low-vacuum and low-voltage applications.
This course gives basic skills for students new to SEM. At the end of the course, students with no prior experience are able to align a SEM, to obtain secondary electron (SE) and backscatter electron (BSE) micrographs and to perform energy dispersive X-ray spectroscopy (EDX) qualitative and semi-quantitative analysis. The procedures to better utilize SEM to solve practical problems and to optimize SEM analysis for a wide range of materials will be emphasized.

- Discussion of students' sample/interest
- Introduction and discussion on Electron Microscopy and instrumentation
- Lectures on electron sources, electron lenses and probe formation
- Lectures on beam/specimen interaction, image formation, image contrast and imaging modes.
- Lectures on sample preparation techniques for EM
- Brief description and demonstration of the SEM microscope
- Practice on beam/specimen interaction, image formation, image contrast (and image processing)
- Student participation on sample preparation techniques
- Scanning Electron Microscopy lab exercises: setup and operate the instrument under various imaging modalities
- Lecture and demonstrations on X-ray micro-analysis (theory and detection), qualitative and semi-quantitative EDX and point analysis, linescans and spectral mapping
- Practice on real-world samples and report results
Literature- Detailed course manual
- Williams, Carter: Transmission Electron Microscopy, Plenum Press, 1996
- Hawkes, Valdre: Biophysical Electron Microscopy, Academic Press, 1990
- Egerton: Physical Principles of Electron Microscopy: an introduction to TEM, SEM and AEM, Springer Verlag, 2007
Prerequisites / NoticeNo mandatory prerequisites. Please consider the prior attendance to EM Basic lectures (551- 1618-00V; 227-0390-00L; 327-0703-00L) as suggested prerequisite.
327-2126-00LMicroscopy Training TEM I - Introduction to TEM Restricted registration - show details
Number of participants limited to 6. Master students will have priority over PhD students. PhD students may still enroll, but will be asked for a fee (http://www.scopem.ethz.ch/education/MTP.html).

TEM 1 registration form: Link
W2 credits3PM. Willinger, E. J. Barthazy Meier, A. G. Bittermann, F. Gramm
AbstractThe introductory course on Transmission Electron Microscopy (TEM) provides theoretical and hands-on learning for new operators, utilizing lectures, demonstrations, and hands-on sessions.
Objective- Overview of TEM theory, instrumentation, operation and applications.
- Alignment and operation of a TEM, as well as acquisition and interpretation of images, diffraction patterns, accomplishing basic tasks successfully.
- Knowledge of electron imaging modes (including Scanning Transmission Electron Microscopy), magnification calibration, and image acquisition using CCD cameras.
- To set up the TEM to acquire diffraction patterns, perform camera length calibration, as well as measure and interpret diffraction patterns.
- Overview of techniques for specimen preparation.
ContentUsing two Transmission Electron Microscopes the students learn how to align a TEM, select parameters for acquisition of images in bright field (BF) and dark field (DF), perform scanning transmission electron microscopy (STEM) imaging, phase contrast imaging, and acquire electron diffraction patterns. The participants will also learn basic and advanced use of digital cameras and digital imaging methods.

- Introduction and discussion on Electron Microscopy and instrumentation.
- Lectures on electron sources, electron lenses and probe formation.
- Lectures on beam/specimen interaction, image formation, image contrast and imaging modes.
- Lectures on sample preparation techniques for EM.
- Brief description and demonstration of the TEM microscope.
- Practice on beam/specimen interaction, image formation, Image contrast (and image processing).
- Demonstration of Transmission Electron Microscopes and imaging modes (Phase contrast, BF, DF, STEM).
- Student participation on sample preparation techniques.
- Transmission Electron Microscopy lab exercises: setup and operate the instrument under various imaging modalities.
- TEM alignment, calibration, correction to improve image contrast and quality.
- Electron diffraction.
- Practice on real-world samples and report results.
Literature- Detailed course manual
- Williams, Carter: Transmission Electron Microscopy, Plenum Press, 1996
- Hawkes, Valdre: Biophysical Electron Microscopy, Academic Press, 1990
- Egerton: Physical Principles of Electron Microscopy: an introduction to TEM, SEM and AEM, Springer Verlag, 2007
Prerequisites / NoticeNo mandatory prerequisites. Please consider the prior attendance to EM Basic lectures (551- 1618-00V; 227-0390-00L; 327-0703-00L) as suggested prerequisite.
376-1150-00LClinical Challenges in Musculoskeletal Disorders Restricted registration - show details W2 credits2GM. Leunig, S. J. Ferguson, A. Müller
AbstractThis course reviews musculoskeletal disorders focusing on the clinical presentation, current treatment approaches and future challenges and opportunities to overcome failures.
ObjectiveAppreciation of the surgical and technical challenges, and future perspectives offered through advances in surgical technique, new biomaterials and advanced medical device construction methods.
ContentFoot 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
376-1178-00LHuman Factors IIW3 credits2VM. Menozzi Jäckli, R. Huang, M. Siegrist
AbstractStrategies, abilities and needs of human at work as well as properties of products and systems are factors controlling quality and performance in everyday interactions. In Human Factors II (HF II), cognitive aspects are in focus therefore complementing the more physical oriented approach in HF I. A basic scientific approach is adopted and relevant links to practice are illustrated.
ObjectiveThe goal of the lecture is to empower students in designing products and systems enabling an efficient and qualitatively high standing interaction between human and the environment, considering costs, benefits, health, well-being, and safety as well. The goal is achieved in addressing a broad variety of topics and embedding the discussion in macroscopic factors such as the behavior of consumers and objectives of economy.
ContentCognitive factors in perception, information processing and action. Experimental techniques in assessing human performance and well-being, human factors and ergonomics in development of products and complex systems, innovation, decision taking, consumer behavior.
LiteratureSalvendy G. (ed), Handbook of Human Factors, Wiley & Sons, 2012
376-1400-00LTransfer of Technologies into Neurorehabilitation Restricted registration - show details W3 credits2VC. Müller, R. Gassert, R. Riener, H. Van Hedel, N. Wenderoth
AbstractThe course focuses on clinical as well as industrial aspects of advanced technologies and their transfer into neurorehabilitation from both theoretical and practical perspectives. The students will learn the basics of neurorehabilitation and the linkage to technologies, gain insight into the development within the medtech field and learn applications of technologies in clinical settings.
ObjectiveThe students will:
- Learn basics and principles of clinical neuroscience and neurorehabilitation.
- Gain insight into the technical basics of advanced technologies and the transfer into product development processes.
- Gain insight into the application, the development and integration of advanced technologies in clinical settings. This includes the advantages and limitations according to different pathologies and therapy goals.
- Get the opportunity to test advanced technologies in practical settings.
- Learn how to transfer theoretical concepts to actual settings in different working fields.
ContentMain focus:
- Neurobiological principles applied to the field of neurorehabilitation.
- Clinical applications of advanced rehabilitation technologies.
- Visit medical technology companies, rehabilitation centers and labs to gain deeper insight into the development, application and evaluation of advanced technologie
Lecture notesTeaching materials will be provided for the individual events and lectures.
- Slides (pdf files)
- Information sheets and flyers of the visited companies, labs and clinics
376-1414-01LCurrent Topics in Brain Research (FS)W1 credit1.5KI. Mansuy, F. Helmchen, further lecturers
AbstractDifferent national and international scientific guests are invited to present and discuss their most recent scientific results.
ObjectiveThe aim is to exchange scientific knowledge and data as well as to promote communication and collaborations amongst researchers. Students taking the course participate in all seminars within one semester and write a critical report about one seminar of their choice. Prof. Isabelle / Dr. Silvia Schelbert will send instructions for this report to students who have registered for the course.
ContentDifferent scientific guests working in the field of molecular cognition, neurochemistry, neuromorphology and neurophysiology present their latest scientific results.
Lecture notesno handout
Literatureno literature
376-1624-00LPractical Methods in Biofabrication Restricted registration - show details
Number of participants limited to 12.
W5 credits4PM. Zenobi-Wong, S. Schürle-Finke, K. Würtz-Kozak
AbstractBiofabrication 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.
ObjectiveThe 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.
Prerequisites / NoticeNot recommended if passed 376-1622-00 Practical Methods in Tissue Engineering
376-1660-00LScientific Writing, Reporting and Communication Restricted registration - show details
Number of participants limited to 30.

Only for Health Sciences and Technology MSc
W3 credits2VB. Taylor
AbstractThis course aims to teach many of the unwritten rules on how to communicate effectively, from writing reports or manuscripts (or indeed their Master thesis!) through to improving skills in oral presentations, and presenting themselves at interview.
ObjectiveThis course will teach students to communicate effectively in official environments, including:
- writing manuscripts, theses, CVs, reports etc
- presenting posters
- oral presentations
- critical reviews of literature
376-1724-00LAppropriate Health System Design Information Restricted registration - show details
Number of participants limited to 42.
W3 credits2VW. Karlen
AbstractThis course elaborates upon relevant aspects in the conception, implementation and distribution of health devices and systems that effectively meet peoples and societies' needs in a local context. Four key elements of appropriateness (usage, cost, durability and performance) that are integral to the engineering design process are extensively discussed and applied.
ObjectiveThe main goals are to
> Evaluate the appropriateness of health systems to the cultural, financial, environmental and medical context in which they will be applied
and
> Design health systems from a user's perspective for a specific context

At the end of the course, students can
> name, understand and describe the 4 main principles that define appropriate technology
> apply these principles to critically analyze and assess health systems and technology
> project him/herself into a unfamiliar person and context and create hypotheses as to that person's needs, requirements, and priorities
> modify specifications of existing systems to improve appropriateness
> discuss the challenges and illustrate the the ethical and societal consequences of proposed design modifications
> communicate effectively the results of his/her system analysis and implementation strategies to non-specialists
ContentThe course will be interactive and involve roleplay. Please do not sign up for this course if you are not ready to leave your comfort zone in class. The lectures are divided in two parts:
The first part elaborates upon the important concepts of the design of health care devices and systems, and discusses implementation and dissemination strategies. We focus on communities such as low income households, the elderly, and patients with chronic illnesses that have special needs. Topics covered include point-of-care diagnostics, information and communication technologies, mobile health, user interactions, and also the social-cultural considerations.
The second part consists of elaboration of an appropriate device conducted by student groups. Each group will analyse an existing product or solution, critically assess its appropriateness according to the criteria learned in class, and provide explanations as to why the system succeeds or fails. The students will also present design improvements. Grading will be based on a written case report due in the middle of the semester and a final seminar presentation in form of a poster discussion and demo.
LiteratureWHO, "Medical Devices: Managing the Mismatch", 2010.
http://www.who.int/medical_devices/publications/med_dev_man-mismatch/en/

PATH, "The IC2030 report. Reimagining Global Health," 2015. http://ic2030.org/report/

R. Malkin and K. Von Oldenburg Beer, "Diffusion of novel healthcare technologies to resource poor settings," Annals of Biomedical Engineering, vol. 41, no. 9, pp. 1841:50, 2013.
Prerequisites / NoticeTarget Group:
Students of higher semesters and doctoral students of
- D-MAVT, D-ITET, D-INFK, D-HEST
- Biomedical Engineering, Robotics, Systems and Control
- Medical Faculty, University of Zurich
Students of other departments, faculties, courses are also welcome
376-1986-00LBayesian Data Analysis on Models of Behavior
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: DOEC0829

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W3 credits2SR. Polania, University lecturers
AbstractMaking sense of the data acquired via experiments is fundamental in many fields of sciences. This course is designed for students/researchers who want to gain practical experience with data analysis based on Bayesian inference. Coursework involves practical demonstrations and discussion of solutions for data analysis problems. No advanced knowledge of statistics and probability is required.
ObjectiveThe overall goal of this course it that the students are able to develop both analytic and problem-solving skills that will serve to draw reasonable inferences from observations. The first objective is to make the participants familiar with the conceptual framework of Bayesian data analysis. The second goal is to introduce the ideas of modern Bayesian data analysis, including techniques such as Markov chain Monte Carlo (MCMC) techniques, alongside the introduction of programming tools that facilitate the creation of any Bayesian inference model. Throughout the course, this will involve practical demonstrations with example datasets, homework, and discussions that should convince the participants of this course that it is possible to make inference and understand the data acquired from the experiments that they usually obtain in their own research (starting from simple linear regressions all the way up to more complex models with hierarchical structures and dependencies). After working through this course, the participants should be able to build their own inference models in order to interpret meaningfully their own data.
Prerequisites / NoticeThe very basics (or at least intuition) of programming in either Matlab or R
535-0534-00LDrug, Society and Public HealthW1 credit1VJ. Steurer, R. Heusser
AbstractIntroduction of basic concepts and methods in Public Health, epidemiology, and Evidence Based Medicine. An overview on concepts and principles of clinical trials on efficacy of drugs
ObjectiveStudents know the concepts and principles of epidemiological and clinical research, they are informed about the principles of evidence based medicine and know how and where to search for evidence.
ContentEinführung in Epidemiologie / Pharmakoepidemiologie / Evidence-based Medicine: Grundbegriffe, Studiendesigns, object-design, statistische Grundlagen, Kausalität in der Pharmako-Epidemiologie, Methoden und Konzepte, Fallbeispiele.
Lecture notesWird abgegeben
Literature- F. Gutzwiller/ F. Paccaud (Hrsg.): Sozial- und Präventivmedizin - Public Health. 4. Aufl. 2011, Verlag Hans Huber, Bern
- R. Beaglehole, R. Bonita, T. Kjellström: Einführung in die Epidemiologie. 1997, Verlag Hans Huber, Bern
- L. Gordis: Epidemiology, 4 th Ed. 2009, W.B. Saunders Comp.
- K.J. Rothman, S. Greenland: Modern Epidemiology, 2. Ed. 1998, Lippincott Williams & Wilkins
- A.G. Hartzema, M. Porta, H.H. Tilson (Eds.): Pharmacoepidemiology - An Introduction. 3. Ed. Harvey Whitney Comp., Cincinnati
- R. Bonita, R. Beaglehole. Einführung in die Epidemiologie, 2. überarbeitete Auflage, 2008 Huber Verlag.
- B.L. Strom (Eds.): Pharmacoepidemiology. 3. Ed. 2000, Wiley & Sons Ltd., Chichester
- S.E. Straus, W.S. Richardson, P.Glasziou, R.B. Haynes: Evidence-based Medicine. 2005, Churchill Livingstone, London
- U. Jaehde, R.Radziwill, S. Mühlebach, W. Schnack (Hrsg): Lehrbuch der Klinischen Pharmazie
- L.M. Bachmann, M.A. Puhan, J.Steurer (Eds.): Patientenorientierte Forschung. EInführung in die Planung und Durchführung einer Studie. Verlag Hans Huber, 2008
551-0318-00LImmunology IIW3 credits2VA. Oxenius, M. Kopf, S. R. Leibundgut, E. Wetter Slack, further lecturers
AbstractIntroduction into the cellular and molecular basis of the immune system and immune responses against diverse pathogens, tumors, transplants, and self (autoimmunity)
ObjectiveThe lectures will provide a detailed understanding:
- how innate and adaptive immune responses interact at the cellular and molecular level.
- how the immune system recognizes and fights against pathogenic microorganisms including viruses, bacteria, and parasites.
- why lymphocytes tolerate self molecules.
- about function and dysfunction the intestinal immune system.
- immunopathology and inflammatory diseases.
ContentThe aim of lecture is to understand:
> How pathogens are recognized by the innate immune system
> Immune defense against various pathogens
> Immunology of the skin, lung and intestines
> Tumor immunology
> Migration and homing of immune cells
> tolerance and autoimmunity
> T cell memory
Lecture notesPresentations of the lecturers are available at the Moodle link
LiteratureRecommended: Kuby Immunology (Freeman)
551-0320-00LCellular Biochemistry (Part II)W3 credits2VY. Barral, R. Kroschewski, A. E. Smith
AbstractThis course will focus on molecular mechanisms and concepts underlying cellular biochemistry, providing advanced insights into the structural and functional details of individual cell components, and the complex regulation of their interactions. Particular emphasis will be on the spatial and temporal integration of different molecules and signaling pathways into global cellular processes.
ObjectiveThe full-year course (551-0319-00 & 551-0320-00) focuses on the molecular mechanisms and concepts underlying the biochemistry of cellular physiology, investigating how these processes are integrated to carry out highly coordinated cellular functions. The molecular characterization of complex cellular functions requires a combination of approaches such as biochemistry, but also cell biology and genetics. This course is therefore the occasion to discuss these techniques and their integration in modern cellular biochemistry.
The students will be able to describe the structural and functional details of individual cell components, and the spatial and temporal regulation of their interactions. In particular, they will learn to explain how different molecules and signaling pathways can be integrated during complex and highly dynamic cellular processes such as intracellular transport, cytoskeletal rearrangements, cell motility, and cell division. In addition, they will be able to illustrate the relevance of particular signaling pathways for cellular pathologies such as cancer or during cellular infection.
ContentSpatial and temporal integration of different molecules and signaling pathways into global cellular processes, such as cell division, cell infection and cell motility. Emphasis is also put on the understanding of pathologies associated with defective cell physiology, such as cancer or during cellular infection.
LiteratureRecommended supplementary literature (review articles and selected primary literature) will be provided during the course.
Prerequisites / NoticeTo attend this course the students must have a solid basic knowledge in chemistry, biochemistry, cell biology and general biology. Biology students have in general already attended the first part of the "Cellular Biochemistry" concept course (551-0319-00). The course will be taught in English.
In addition, the course will be based on a blended-learning scenario, where frontal lectures will be complemented with carefully chosen web-based teaching elements that students access through the ETH Moodle platform.
701-1704-01LHealth Impact Assessment: Concepts and Case StudiesW3 credits2VM. Winkler, C. Guéladio, M. Röösli, J. M. Utzinger
AbstractThis course introduces the concept of health impact assessment (HIA) and discusses a suite of case studies in industrialised and developing countries. HIA pursues an inter- and multidisciplinary approach, employs qualitative and quantitative methods with the overarching goal to influence decision-making.
ObjectiveAfter successful completion of the course, students should be able to:
o critically reflect on the concept of HIA and the different steps from screening to implementation and monitoring; and
o apply specific tools and methodologies for HIA of policies, programmes and projects in different social, ecological and epidemiological settings.
ContentThe course will present a broad set of tools and methods for the systematic and evidence-based judgment of potential health effects related to policies, programmes and projects. Methodological features will be introduced and applied to a variety of case studies in the public sector (e.g. traffic-related air pollution, passive smoking and waste water management) and private sector (e.g. water resource developments and extractive industries) all over the world.
Lecture notesHandouts will be distributed.
LiteratureWhenever possible, at least one peer-reviewed paper will be made available for each session.
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