Search result: Catalogue data in Autumn Semester 2019

Number	Title	Type	ECTS	Hours	Lecturers
Health Sciences and Technology Master
Major in Medical Technology
Electives
Elective Courses I
376-0021-00L	Materials and Mechanics in Medicine	W	4 credits	3G	M. Zenobi-Wong, J. G. Snedeker
Abstract	Understanding of physical and technical principles in biomechanics, biomaterials, and tissue engineering as well as a historical perspective. Mathematical description and problem solving. Knowledge of biomedical engineering applications in research and clinical practice.
Learning objective	Understanding of physical and technical principles in biomechanics, biomaterials, tissue engineering. Mathematical description and problem solving. Knowledge of biomedical engineering applications in research and clinical practice.
Content	Biomaterials, Tissue Engineering, Tissue Biomechanics, Implants.
Lecture notes	course website on Moodle
Literature	Introduction to Biomedical Engineering, 3rd Edition 2011, Autor: John Enderle, Joseph Bronzino, ISBN 9780123749796 Academic Press
376-1714-00L	Biocompatible Materials	W	4 credits	3G	K. Maniura, M. Rottmar, M. Zenobi-Wong
Abstract	Introduction to molecules used for biomaterials, molecular interactions between different materials and biological systems (molecules, cells, tissues). The concept of biocompatibility is discussed and important techniques from biomaterials research and development are introduced.
Learning objective	The course covers the follwing topics: 1. Introdcution into molecular characteristics of molecules involved in the materials-to-biology interface. Molecular design of biomaterials. 2. The concept of biocompatibility. 3. Introduction into methodology used in biomaterials research and application. 4. Introduction to different material classes in use for medical applications.
Content	Introduction into natural and polymeric biomaterials used for medical applications. The concepts of biocompatibility, biodegradation and the consequences of degradation products are discussed on the molecular level. Different classes of materials with respect to potential applications in tissue engineering, drug delivery and for medical devices are introduced. Strong focus lies on the molecular interactions between materials having very different bulk and/or surface chemistry with living cells, tissues and organs. In particular the interface between the materials surfaces and the eukaryotic cell surface and possible reactions of the cells with an implant material are elucidated. Techniques to design, produce and characterize materials in vitro as well as in vivo analysis of implanted and explanted materials are discussed. A link between academic research and industrial entrepreneurship is demonstrated by external guest speakers, who present their current research topics.
Lecture notes	Handouts are deposited online (moodle).
Literature	Literature: - Biomaterials Science: An Introduction to Materials in Medicine, Ratner B.D. et al, 3rd Edition, 2013 - Comprehensive Biomaterials, Ducheyne P. et al., 1st Edition, 2011 (available online via ETH library) Handouts and references therin.

Elective Courses II
Number	Title	Type	ECTS	Hours	Lecturers
151-0255-00L	Energy Conversion and Transport in Biosystems	W	4 credits	2V + 1U	A. Ferrari
Abstract	Theory and application of thermodynamics and energy conversion in biological systems with focus on the cellular level.
Learning objective	Theory and application of energy conversion at the cellular level. Understanding of the basic features governing solutes transport in the principal systems of the human cell. Connection of characteristics and patterns from other fields of engineering to biofluidics. Heat and mass transport processes in the cell, generation of forces, work and relation to biomedical technologies.
Content	Mass transfer models for the transport of chemical species in the human cell. Organization and function of the cell membrane and of the cell cytoskeleton. The role of molecular motors in cellular force generation and their function in cell migration. Description of the functionality of these systems and of analytical experimental and computational techniques for understanding of their operation. Introduction to cell metabolism, cellular energy transport and cellular thermodynamics.
Lecture notes	Material in the form of hand-outs will be distributed.
Literature	Lecture notes and references therein.
151-0604-00L	Microrobotics	W	4 credits	3G	B. Nelson, N. Shamsudhin
Abstract	Microrobotics is an interdisciplinary field that combines aspects of robotics, micro and nanotechnology, biomedical engineering, and materials science. The aim of this course is to expose students to the fundamentals of this emerging field. Throughout the course, the students apply these concepts in assignments. The course concludes with an end-of-semester examination.
Learning objective	The objective of this course is to expose students to the fundamental aspects of the emerging field of microrobotics. This includes a focus on physical laws that predominate at the microscale, technologies for fabricating small devices, bio-inspired design, and applications of the field.
Content	Main topics of the course include: - Scaling laws at micro/nano scales - Electrostatics - Electromagnetism - Low Reynolds number flows - Observation tools - Materials and fabrication methods - Applications of biomedical microrobots
Lecture notes	The powerpoint slides presented in the lectures will be made available as pdf files. Several readings will also be made available electronically.
Prerequisites / Notice	The lecture will be taught in English.
227-0385-10L	Biomedical Imaging	W	6 credits	5G	S. Kozerke, K. P. Prüssmann
Abstract	Introduction and analysis of medical imaging technology including X-ray procedures, computed tomography, nuclear imaging techniques using single photon and positron emission tomography, magnetic resonance imaging and ultrasound imaging techniques.
Learning objective	To understand the physical and technical principles underlying X-ray imaging, computed tomography, single photon and positron emission tomography, magnetic resonance imaging, ultrasound and Doppler imaging techniques. The mathematical framework is developed to describe image encoding/decoding, point-spread function/modular transfer function, signal-to-noise ratio, contrast behavior for each of the methods. Matlab exercises are used to implement and study basic concepts.
Content	- X-ray imaging - Computed tomography - Single photon emission tomography - Positron emission tomography - Magnetic resonance imaging - Ultrasound/Doppler imaging
Lecture notes	Lecture notes and handouts
Literature	Webb A, Smith N.B. Introduction to Medical Imaging: Physics, Engineering and Clinical Applications; Cambridge University Press 2011
Prerequisites / Notice	Analysis, Linear Algebra, Physics, Basics of Signal Theory, Basic skills in Matlab programming
227-0393-10L	Bioelectronics and Biosensors	W	6 credits	2V + 2U	J. Vörös, M. F. Yanik, T. Zambelli
Abstract	The course introduces the concepts of bioelectricity and biosensing. The sources and use of electrical fields and currents in the context of biological systems and problems are discussed. The fundamental challenges of measuring biological signals are introduced. The most important biosensing techniques and their physical concepts are introduced in a quantitative fashion.
Learning objective	During this course the students will: - learn the basic concepts in biosensing and bioelectronics - be able to solve typical problems in biosensing and bioelectronics - learn about the remaining challenges in this field
Content	L1. Bioelectronics history, its applications and overview of the field - Volta and Galvani dispute - BMI, pacemaker, cochlear implant, retinal implant, limb replacement devices - Fundamentals of biosensing - Glucometer and ELISA L2. Fundamentals of quantum and classical noise in measuring biological signals L3. Biomeasurement techniques with photons L4. Acoustics sensors - Differential equation for quartz crystal resonance - Acoustic sensors and their applications L5. Engineering principles of optical probes for measuring and manipulating molecular and cellular processes L6. Optical biosensors - Differential equation for optical waveguides - Optical sensors and their applications - Plasmonic sensing L7. Basic notions of molecular adsorption and electron transfer - Quantum mechanics: Schrödinger equation energy levels from H atom to crystals, energy bands - Electron transfer: Marcus theory, Gerischer theory L8. Potentiometric sensors - Fundamentals of the electrochemical cell at equilibrium (Nernst equation) - Principles of operation of ion-selective electrodes L9. Amperometric sensors and bioelectric potentials - Fundamentals of the electrochemical cell with an applied overpotential to generate a faraday current - Principles of operation of amperometric sensors - Ion flow through a membrane (Fick equation, Nernst equation, Donnan equilibrium, Goldman equation) L10. Channels, amplification, signal gating, and patch clamp Y4 L11. Action potentials and impulse propagation L12. Functional electric stimulation and recording - MEA and CMOS based recording - Applying potential in liquid - simulation of fields and relevance to electric stimulation L13. Neural networks memory and learning
Literature	Plonsey and Barr, Bioelectricity: A Quantitative Approach (Third edition)
Prerequisites / Notice	The course requires an open attitude to the interdisciplinary approach of bioelectronics. In addition, it requires undergraduate entry-level familiarity with electric & magnetic fields/forces, resistors, capacitors, electric circuits, differential equations, calculus, probability calculus, Fourier transformation & frequency domain, lenses / light propagation / refractive index, Michaelis-Menten equation, pressure, diffusion AND basic knowledge of biology and chemistry (e.g. understanding the concepts of concentration, valence, reactants-products, etc.).
227-0447-00L	Image Analysis and Computer Vision	W	6 credits	3V + 1U	L. Van Gool, O. Göksel, E. Konukoglu
Abstract	Light and perception. Digital image formation. Image enhancement and feature extraction. Unitary transformations. Color and texture. Image segmentation. Motion extraction and tracking. 3D data extraction. Invariant features. Specific object recognition and object class recognition. Deep learning and Convolutional Neural Networks.
Learning objective	Overview of the most important concepts of image formation, perception and analysis, and Computer Vision. Gaining own experience through practical computer and programming exercises.
Content	This course aims at offering a self-contained account of computer vision and its underlying concepts, including the recent use of deep learning. The first part starts with an overview of existing and emerging applications that need computer vision. It shows that the realm of image processing is no longer restricted to the factory floor, but is entering several fields of our daily life. First the interaction of light with matter is considered. The most important hardware components such as cameras and illumination sources are also discussed. The course then turns to image discretization, necessary to process images by computer. The next part describes necessary pre-processing steps, that enhance image quality and/or detect specific features. Linear and non-linear filters are introduced for that purpose. The course will continue by analyzing procedures allowing to extract additional types of basic information from multiple images, with motion and 3D shape as two important examples. Finally, approaches for the recognition of specific objects as well as object classes will be discussed and analyzed. A major part at the end is devoted to deep learning and AI-based approaches to image analysis. Its main focus is on object recognition, but also other examples of image processing using deep neural nets are given.
Lecture notes	Course material Script, computer demonstrations, exercises and problem solutions
Prerequisites / Notice	Prerequisites: Basic concepts of mathematical analysis and linear algebra. The computer exercises are based on Python and Linux. The course language is English.
227-0965-00L	Micro and Nano-Tomography of Biological Tissues	W	4 credits	3G	M. Stampanoni, P. A. Kaestner
Abstract	The lecture introduces the physical and technical know-how of X-ray tomographic microscopy. Several X-ray imaging techniques (absorption-, phase- and darkfield contrast) will be discussed and their use in daily research, in particular biology, is presented. The course discusses the aspects of quantitative evaluation of tomographic data sets like segmentation, morphometry and statistics.
Learning objective	Introduction to the basic concepts of X-ray tomographic imaging, image analysis and data quantification at the micro and nano scale with particular emphasis on biological applications
Content	Synchrotron-based X-ray micro- and nano-tomography is today a powerful technique for non-destructive, high-resolution investigations of a broad range of materials. The high-brilliance and high-coherence of third generation synchrotron radiation facilities allow quantitative, three-dimensional imaging at the micro and nanometer scale and extend the traditional absorption imaging technique to edge-enhanced and phase-sensitive measurements, which are particularly suited for investigating biological samples. The lecture includes a general introduction to the principles of tomographic imaging from image formation to image reconstruction. It provides the physical and engineering basics to understand how imaging beamlines at synchrotron facilities work, looks into the recently developed phase contrast methods, and explores the first applications of X-ray nano-tomographic experiments. The course finally provides the necessary background to understand the quantitative evaluation of tomographic data, from basic image analysis to complex morphometrical computations and 3D visualization, keeping the focus on biomedical applications.
Lecture notes	Available online
Literature	Will be indicated during the lecture.
227-0969-00L	Methods & Models for fMRI Data Analysis	W	6 credits	4V	K. Stephan
Abstract	This course teaches methods and models for fMRI data analysis, covering all aspects of statistical parametric mapping (SPM), incl. preprocessing, the general linear model, statistical inference, multiple comparison corrections, event-related designs, and Dynamic Causal Modelling (DCM), a Bayesian framework for identification of nonlinear neuronal systems from neurophysiological data.
Learning objective	To obtain in-depth knowledge of the theoretical foundations of SPM and DCM and of their application to empirical fMRI data.
Content	This course teaches state-of-the-art methods and models for fMRI data analysis. It covers all aspects of statistical parametric mapping (SPM), incl. preprocessing, the general linear model, frequentist and Bayesian inference, multiple comparison corrections, and event-related designs, and Dynamic Causal Modelling (DCM), a Bayesian framework for identification of nonlinear neuronal systems from neurophysiological data. A particular emphasis of the course will be on methodological questions arising in the context of studies in psychiatry, neurology and neuroeconomics.
327-0505-00L	Surfaces, Interfaces and their Applications I	W	3 credits	2V + 1U	N. Spencer, M. P. Heuberger, L. Isa
Abstract	After being introduced to the physical/chemical principles and importance of surfaces and interfaces, the student is introduced to the most important techniques that can be used to characterize surfaces. Later, liquid interfaces are treated, followed by an introduction to the fields of tribology (friction, lubrication, and wear) and corrosion.
Learning objective	To gain an understanding of the physical and chemical principles, as well as the tools and applications of surface science, and to be able to choose appropriate surface-analytical approaches for solving problems.
Content	Introduction to Surface Science Physical Structure of Surfaces Surface Forces (static and dynamic) Adsorbates on Surfaces Surface Thermodynamics and Kinetics The Solid-Liquid Interface Electron Spectroscopy Vibrational Spectroscopy on Surfaces Scanning Probe Microscopy Introduction to Tribology Introduction to Corrosion Science
Lecture notes	Script Download: Link
Literature	Script (20 CHF) Book: "Surface Analysis--The Principal Techniques", Ed. J.C. Vickerman, Wiley, ISBN 0-471-97292
Prerequisites / Notice	Chemistry: General undergraduate chemistry including basic chemical kinetics and thermodynamics Physics: General undergraduate physics including basic theory of diffraction and basic knowledge of crystal structures
327-2125-00L	Microscopy Training SEM I - Introduction to SEM The number of participants is limited. In case of overbooking, the course will be repeated once. All registrations will be recorded on the waiting list. For PhD students, postdocs and others, a fee will be charged (http://www.scopem.ethz.ch/education/MTP.html). All applicants must additionally register on this form: Link The selected applicants will be contacted and asked for confirmation a few weeks before the course date.	W	2 credits	3P	P. Zeng, A. G. Bittermann, S. Gerstl, L. Grafulha Morales, K. Kunze, J. Reuteler
Abstract	The 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.
Learning 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
Content	During 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 / Notice	No mandatory prerequisites. Please consider the prior attendance to EM Basic lectures (551- 1618-00V; 227-0390-00L; 327-0703-00L) as suggested prerequisite.
327-2126-00L	Microscopy Training TEM I - Introduction to TEM The number of participants is limited. In case of overbooking, the course will be repeated once. All registrations will be recorded on the waiting list. For PhD students, postdocs and others, a fee will be charged (http://www.scopem.ethz.ch/education/MTP.html). All applicants must additionally register on this form: Link The selected applicants will be contacted and asked for confirmation a few weeks before the course date.	W	2 credits	3P	P. Zeng, E. J. Barthazy Meier, A. G. Bittermann, F. Gramm, M. Willinger
Abstract	The introductory course on Transmission Electron Microscopy (TEM) provides theoretical and hands-on learning for new operators, utilizing lectures, demonstrations, and hands-on sessions.
Learning 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.
Content	Using 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 / Notice	No mandatory prerequisites. Please consider the prior attendance to EM Basic lectures (551- 1618-00V; 227-0390-00L; 327-0703-00L) as suggested prerequisite.
363-0790-00L	Technology Entrepreneurship	W	2 credits	2V	U. Claesson, B. Clarysse
Abstract	Technology ventures are significantly changing the global economic picture. Technological skills increasingly need to be complemented by entrepreneurial understanding. This course offers the fundamentals in theory and practice of entrepreneurship in new technology ventures. Main topics covered are success factors in the creation of new firms, including founding, financing and growing a venture.
Learning objective	This course provides theory-grounded knowledge and practice-driven skills for founding, financing, and growing new technology ventures. A critical understanding of dos and don'ts is provided through highlighting and discussing real life examples and cases.
Content	See course website: Link
Lecture notes	Lecture slides and case material
363-1065-00L	Design Thinking: Human-Centred Solutions to Real World Challenges Due to didactic reasons, the number of participants is limited to 16. All interested students are invited to apply for this course by sending a short motivation letter to Linda Armbruster: larmbruster@ethz.ch. Additionally please enroll via mystudies. Please note that all students are put on the waiting list and that your current position on the waiting list is irrelevant, as places will be assigned after the first lecture on the basis of your motivation letter and commitment for the class.	W	5 credits	5G	A. Cabello Llamas, S. Brusoni, L. Cabello
Abstract	The goal of this course is to engage students in a multidisciplinary collaboration to tackle real world problems. Following a design thinking approach, students will work in teams to solve a set of design challenges that are organized as a one-week, a three-week, and a final six-week project in collaboration with an external project partner. Information and application: http://sparklabs.ch/
Learning objective	During the course, students will learn about different design thinking methods and tools. This will enable them to: - Generate deep insights through the systematic observation and interaction of key stakeholders (empathy). - Engage in collaborative ideation with a multidisciplinary team. - Rapidly prototype and iteratively test ideas and concepts by using various materials and techniques.
Content	The purpose of this course is to equip the students with methods and tools to tackle a broad range of problems. Following a Design Thinking approach, the students will learn how to observe and interact with key stakeholders in order to develop an in-depth understanding of what is truly important and emotionally meaningful to the people at the center of a problem. Based on these insights, the students ideate on possible solutions and immediately validated them through quick iterations of prototyping and testing using different tools and materials. The students will work in multidisciplinary teams on a set of challenges that are organized as a one-week, a three-week, and a final six-week project with an external project partner. In this course, the students will learn about the different Design Thinking methods and tools that are needed to generate deep insights, to engage in collaborative ideation, rapid prototyping and iterative testing. Design Thinking is a deeply human process that taps into the creative abilities we all have, but that get often overlooked by more conventional problem solving practices. It relies on our ability to be intuitive, to recognize patterns, to construct ideas that are emotionally meaningful as well as functional, and to express ourselves through means beyond words or symbols. Design Thinking provides an integrated way by incorporating tools, processes and techniques from design, engineering, the humanities and social sciences to identify, define and address diverse challenges. This integration leads to a highly productive collaboration between different disciplines. For more information and the application visit: http://sparklabs.ch/
Prerequisites / Notice	Open mind, ability to manage uncertainty and to work with students from various background. Class attendance and active participation is crucial as much of the learning occurs through the work in teams during class. Therefore, attendance is obligatory for every session. Please also note that the group work outside class is an essential element of this course, so that students must expect an above-average workload. Please note that the class is designed for full-time MSc students. Interested MAS students need to send an email to Linda Armbruster to learn about the requirements of the class.
376-0121-00L	Multiscale Bone Biomechanics Number of participants limited to 30	W	6 credits	4S	R. Müller, D. Tourolle
Abstract	The seminar provides state-of-the-art insight to the biomechanical function of bone from molecules, to cells, tissue and up to the organ. Multiscale imaging and simulation allows linking different levels of hierarchy, where systems biology helps understanding the mechanobiological response of bone to loading and injury in scenarios relevant for personalized health and translational medicine.
Learning objective	The learning objectives include 1. advanced knowledge of the state-of-the-are in multiscale bone biomechanics; 2. basic understanding of the biological principles governing bone in health, disease and treatment from molecules, to cells, tissue and up to the organ; 3. good understanding of the prevalent biomechanical testing and imaging techniques on the various levels of bone hierarchy; 4. practical implementation of state-of-the-art multiscale simulation techniques; 5. improved programing skills through the use of python; 6. hands on experience in designing solutions for clinical and industrial problems; 7. encouragement of critical thinking and creating an environment for independent and self-directed studying.
Content	Bone is one of the most investigated biological materials due to its primary function of providing skeletal stability. Bone is susceptible to different local stimuli including mechanical forces and has great capabilities in adapting its mechanical properties to the changes in its environment. Nevertheless, aging or hormonal changes can make bone lose its ability to remodel appropriately, with loss of strength and increased fracture risk as a result, leading to devastating diseases such as osteoporosis. To better understand the biomechanical function of bone, one has to understand the hierarchical organization of this fascinating material down from the molecules, to the cells, tissue and up to the organ. Multiscale imaging and simulation allows to link these different levels of hierarchy. Incorporating systems biology approaches, not only biomechanical strength of the material can be assessed but also the mechanobiological response of the bone triggered by loading and injury in scenarios relevant for personalized health and translational medicine. Watching cells working together to build and repair bone in a coordinated fashion is a spectacle, which will need dynamic image content and deep discussions in the lecture room to probe the imagination of the individual student interested in the topic. For the seminar, concepts of video lectures will be used in a flipped class room setup, where students can study the basic biology, engineering and mathematical concepts in video tutorials online (TORQUES). All videos and animations will be incorporated in Moodle and PolyBook allowing studying and interactive course participation online. It is anticipated that the students need to prepare 2x45 minutes for the study of the actual lecture material. On the Friday afternoon, the first time slot (12-13) will be used for students, who want to schedule one-to-one meetings with the lecturer/tutors to discuss course content. In the later time slots (13-16), short clips with video/animation content will be used to introduce problems and discuss specific scientific findings using multiscale imaging and simulation technology in a flipped classroom. The students will have to form small groups to try to solve such problems and to present their solutions for advanced multiscale investigation of bone ranging from basic science to personalized health and onto translational medicine. Towards the end of the semester, students will have to present self-selected publications associated with the different topics of the lecture identified through PubMed or the Web of Science.
Lecture notes	Material will be provided in Moodle and PolyBook.
Prerequisites / Notice	Prior experience with the programming language python is beneficial but not mandatory. ETH offers courses for practical programming with python.
376-1151-00L	Translation of Basic Research Findings from Genetics and Molecular Mechanisms of Aging Does not take place this semester. Number of participants limited to 30.	W	3 credits	2V	C. Ewald
Abstract	Recently, several start-up companies are aiming to translate basic molecular findings into new drugs/therapeutic interventions to slow aging or post-pone age-related diseases (e.g., Google founded Calico or Craig Venter's Human Longevity, Inc.). This course will teach students the basic skill sets to formulate their own ideas, design experiments to test them and explains the next steps to translat
Learning objective	The overall goal of this course is to be able to analyse current therapeutic interventions to identify an unmet need in molecular biology of aging and apply scientific thinking to discover new mechanisms that could be used as a novel therapeutic intervention. Learning objectives include: 1. Evaluate the current problem of our aging population, the impact of age-dependent diseases and current strategies to prevent these age-dependent diseases. 2. Analyse/compare current molecular/genetic strategies that address these aging problems. 3. Analyse case studies about biotech companies in the aging sector. Apply the scientific methods to formulate basic research questions to address these problems. 4. Generate own hypotheses (educated guess/idea), design experiments to test them, and map out the next steps to translate them.
Content	Overview of aging and age-related diseases. Key discoveries in molecular biology of aging. Case studies of biotech companies addressing age-related complications. Brief introduction from bench to bedside with focus on start-up companies.
Prerequisites / Notice	No compulsory prerequisites, but student should have basic knowledge about genetics and molecular biology.
376-1103-00L	Frontiers in Nanotechnology	W	4 credits	4V	V. Vogel, further lecturers
Abstract	Many disciplines are meeting at the nanoscale, from physics, chemistry to engineering, from the life sciences to medicine. The course will prepare students to communicate more effectively across disciplinary boundaries, and will provide them with deep insights into the various frontiers.
Learning objective	Building upon advanced technologies to create, visualize, analyze and manipulate nano-structures, as well as to probe their nano-chemistry, nano-mechanics and other properties within manmade and living systems, many exciting discoveries are currently made. They change the way we do science and result in so many new technologies. The goal of the course is to give Master and Graduate students from all interested departments an overview of what nanotechnology is all about, from analytical techniques to nanosystems, from physics to biology. Students will start to appreciate the extent to which scientific communities are meeting at the nanoscale. They will learn about the specific challenges and what is currently “sizzling” in the respective fields, and learn the vocabulary that is necessary to communicate effectively across departmental boundaries. Each lecturer will first give an overview of the state-of-the art in his/her field, and then describe the research highlights in his/her own research group. While preparing their Final Projects and discussing them in front of the class, the students will deepen their understanding of how to apply a range of new technologies to solve specific scientific problems and technical challenges. Exposure to the different frontiers will also improve their ability to conduct effective nanoscale research, recognize the broader significance of their work and to start collaborations.
Content	Starting with the fabrication and analysis of nanoparticles and nanostructured materials that enable a variety of scientific and technical applications, we will transition to discussing biological nanosystems, how they work and what bioinspired engineering principles can be derived, to finally discussing biomedical applications and potential health risk issues. Scientific aspects as well as the many of the emerging technologies will be covered that start impacting so many aspects of our lives. This includes new phenomena in physics, advanced materials, novel technologies and new methods to address major medical challenges.
Lecture notes	All the enrolled students will get access to a password protected website where they can find pdf files of the lecture notes, and typically 1-2 journal articles per lecture that cover selected topics.
376-1177-00L	Human Factors I	W	3 credits	2V	M. Menozzi Jäckli, R. Huang, M. Siegrist
Abstract	Every day humans interact with various systems. Strategies of interaction, individual needs, physical & mental abilities, and system properties are important factors in controlling the quality and performance in interaction processes. In the lecture, factors are investigated by basic scientific approaches. Discussed topics are important for optimizing people's satisfaction & overall performance.
Learning objective	The goal of the lecture is to empower students in better understanding the applied theories, principles, and methods in various applications. Students are expected to learn about how to enable an efficient and qualitatively high standing interaction between human and the environment, considering costs, benefits, health, and safety as well. Thus, an ergonomic design and evaluation process of products, tasks, and environments may be promoted in different disciplines. 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.
Content	- Physiological, physical, and cognitive factors in sensation and perception - Body spaces and functional anthropometry, Digital Human Models - Experimental techniques in assessing human performance and well-being - Human factors and ergonomics in system designs, product development and innovation - Human information processing and biological cybernetics - Interaction among consumers, environments, behavior, and tasks
Literature	- Gavriel Salvendy, Handbook of Human Factors and Ergonomics, 4th edition (2012), is available on NEBIS as electronic version and for free to ETH students - Further textbooks are introduced in the lecture - Brouchures, checklists, key articles etc. are uploaded in ILIAS
376-1179-00L	Applications of Cybernetics in Ergonomics	W	1 credit	1U	M. Menozzi Jäckli, Y.‑Y. Hedinger Huang, R. Huang
Abstract	Cybernetics systems have been studied and applied in various research fields, such as applications in the ergonomics domain. Research interests include the man-machine interaction (MMI) topic which involving the performance in multi-model interactions, quantification in gestalt principles in product development; or the information processing matter.
Learning objective	To learn and practice cybernetics principles in interface designs and product development.
Content	- Fitt's law applied in manipulation tasks - Hick-Hyman law applied in design of the driver assistance systems - Vigilance applied in quality inspection - Accommodation/vergence crosslink function - Cross-link models in neurobiology- the ocular motor control system - Human performance in optimization of production lines
Literature	Gavriel Salvendy, Handbook of Human Factors and Ergonomics, 4th edition (2012)
376-1219-00L	Rehabilitation Engineering II: Rehabilitation of Sensory and Vegetative Functions	W	3 credits	2V	R. Riener, R. Gassert, O. Lambercy
Abstract	Rehabilitation Engng is the application of science and technology to ameliorate the handicaps of individuals with disabilities to reintegrate them into society.The goal is to present classical and new rehabilitation engineering principles applied to compensate or enhance motor, sensory, and cognitive deficits. Focus is on the restoration and treatment of the human sensory and vegetative system.
Learning objective	Provide knowledge on the anatomy and physiology of the human sensory system, related dysfunctions and pathologies, and how rehabilitation engineering can provide sensory restoration and substitution. This lecture is independent from Rehabilitation Engineering I. Thus, both lectures can be visited in arbitrary order.
Content	Introduction, problem definition, overview Rehabilitation of visual function - Anatomy and physiology of the visual sense - Technical aids (glasses, sensor substitution) - Retina and cortex implants Rehabilitation of hearing function - Anatomy and physiology of the auditory sense - Hearing aids - Cochlea Implants Rehabilitation and use of kinesthetic and tactile function - Anatomy and physiology of the kinesthetic and tactile sense - Tactile/haptic displays for motion therapy (incl. electrical stimulation) - Role of displays in motor learning Rehabilitation of vestibular function - Anatomy and physiology of the vestibular sense - Rehabilitation strategies and devices (e.g. BrainPort) Rehabilitation of vegetative Functions - Cardiac Pacemaker - Phrenic stimulation, artificial breathing aids - Bladder stimulation, artificial sphincter Brain stimulation and recording - Deep brain stimulation for patients with Parkinson, epilepsy, depression - Brain-Computer Interfaces
Literature	Introductory Books: An Introduction to Rehabilitation Engineering. R. A. Cooper, H. Ohnabe, D. A. Hobson (Eds.). Taylor & Francis, 2007. Principles of Neural Science. E. R. Kandel, J. H. Schwartz, T. M Jessell (Eds.). Mc Graw Hill, New York, 2000. Force and Touch Feedback for Virtual Reality. G. C. Burdea (Ed.). Wiley, New York, 1996 (available on NEBIS). Human Haptic Perception, Basics and Applications. M. Grunwald (Ed.). Birkhäuser, Basel, 2008. The Sense of Touch and Its Rendering, Springer Tracts in Advanced Robotics 45, A. Bicchi et al.(Eds). Springer-Verlag Berlin, 2008. Interaktive und autonome Systeme der Medizintechnik - Funktionswiederherstellung und Organersatz. Herausgeber: J. Werner, Oldenbourg Wissenschaftsverlag 2005. Neural prostheses - replacing motor function after desease or disability. Eds.: R. Stein, H. Peckham, D. Popovic. New York and Oxford: Oxford University Press. Advances in Rehabilitation Robotics - Human-Friendly Technologies on Movement Assistance and Restoration for People with Disabilities. Eds: Z.Z. Bien, D. Stefanov (Lecture Notes in Control and Information Science, No. 306). Springer Verlag Berlin 2004. Intelligent Systems and Technologies in Rehabilitation Engineering. Eds: H.N.L. Teodorescu, L.C. Jain (International Series on Computational Intelligence). CRC Press Boca Raton, 2001. Selected Journal Articles and Web Links: Abbas, J., Riener, R. (2001) Using mathematical models and advanced control systems techniques to enhance neuroprosthesis function. Neuromodulation 4, pp. 187-195. Bach-y-Rita P., Tyler M., and Kaczmarek K (2003). Seeing with the brain. International journal of human-computer-interaction, 15(2):285-295. Burdea, G., Popescu, V., Hentz, V., and Colbert, K. (2000): Virtual reality-based orthopedic telerehabilitation, IEEE Trans. Rehab. Eng., 8, pp. 430-432 Colombo, G., Jörg, M., Schreier, R., Dietz, V. (2000) Treadmill training of paraplegic patients using a robotic orthosis. Journal of Rehabilitation Research and Development, vol. 37, pp. 693-700. Hayward, V. (2008): A Brief Taxonomy of Tactile Illusions and Demonstrations That Can Be Done In a Hardware Store. Brain Research Bulletin, Vol 75, No 6, pp 742-752 Krebs, H.I., Hogan, N., Aisen, M.L., Volpe, B.T. (1998): Robot-aided neurorehabilitation, IEEE Trans. Rehab. Eng., 6, pp. 75-87 Levesque. V. (2005). Blindness, technology and haptics. Technical report, McGill University. Available at: http://www.cim.mcgill.ca/~vleves/docs/VL-CIM-TR-05.08.pdf Quintern, J. (1998) Application of functional electrical stimulation in paraplegic patients. NeuroRehabilitation 10, pp. 205-250. Riener, R., Nef, T., Colombo, G. (2005) Robot-aided neurorehabilitation for the upper extremities. Medical & Biological Engineering & Computing 43(1), pp. 2-10. Riener, R. (1999) Model-based development of neuroprostheses for paraplegic patients. Royal Philosophical Transactions: Biological Sciences 354, pp. 877-894. The vOICe. http://www.seeingwithsound.com. VideoTact, ForeThought Development, LLC. http://my.execpc.com/?dwysocki/videotac.html
Prerequisites / Notice	Target Group: Students of higher semesters and PhD 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 This lecture is independent from Rehabilitation Engineering I. Thus, both lectures can be visited in arbitrary order.

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