Search result: Catalogue data in Autumn Semester 2021
Mechanical Engineering Master  | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Bioengineering The courses listed in this category “Core Courses” are recommended. Alternative courses can be chosen in agreement with the tutor. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0107-20L | High Performance Computing for Science and Engineering (HPCSE) I | W | 4 credits | 4G | P. Koumoutsakos, S. M. Martin | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course gives an introduction into algorithms and numerical methods for parallel computing on shared and distributed memory architectures. The algorithms and methods are supported with problems that appear frequently in science and engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | With manufacturing processes reaching its limits in terms of transistor density on today’s computing architectures, efficient utilization of computing resources must include parallel execution to maintain scaling. The use of computers in academia, industry and society is a fundamental tool for problem solving today while the “think parallel” mind-set of developers is still lagging behind. The aim of the course is to introduce the student to the fundamentals of parallel programming using shared and distributed memory programming models. The goal is on learning to apply these techniques with the help of examples frequently found in science and engineering and to deploy them on large scale high performance computing (HPC) architectures. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Hardware and Architecture: Moore’s Law, Instruction set architectures (MIPS, RISC, CISC), Instruction pipelines, Caches, Flynn’s taxonomy, Vector instructions (for Intel x86) 2. Shared memory parallelism: Threads, Memory models, Cache coherency, Mutual exclusion, Uniform and Non-Uniform memory access, Open Multi-Processing (OpenMP) 3. Distributed memory parallelism: Message Passing Interface (MPI), Point-to-Point and collective communication, Blocking and non-blocking methods, Parallel file I/O, Hybrid programming models 4. Performance and parallel efficiency analysis: Performance analysis of algorithms, Roofline model, Amdahl’s Law, Strong and weak scaling analysis 5. Applications: HPC Math libraries, Linear Algebra and matrix/vector operations, Singular value decomposition, Neural Networks and linear autoencoders, Solving partial differential equations (PDEs) using grid-based and particle methods | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | https://www.cse-lab.ethz.ch/teaching/hpcse-i_hs21/ Class notes, handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | • An Introduction to Parallel Programming, P. Pacheco, Morgan Kaufmann • Introduction to High Performance Computing for Scientists and Engineers, G. Hager and G. Wellein, CRC Press • Computer Organization and Design, D.H. Patterson and J.L. Hennessy, Morgan Kaufmann • Vortex Methods, G.H. Cottet and P. Koumoutsakos, Cambridge University Press • Lecture notes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Students should be familiar with a compiled programming language (C, C++ or Fortran). Exercises and exams will be designed using C++. The course will not teach basics of programming. Some familiarity using the command line is assumed. Students should also have a basic understanding of diffusion and advection processes, as well as their underlying partial differential equations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0317-00L | Visualization, Simulation and Interaction - Virtual Reality II | W | 4 credits | 3G | A. Kunz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This lecture provides deeper knowledge on the possible applications of virtual reality, its basic technolgy, and future research fields. The goal is to provide a strong knowledge on Virtual Reality for a possible future use in business processes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | Virtual Reality can not only be used for the visualization of 3D objects, but also offers a wide application field for small and medium enterprises (SME). This could be for instance an enabling technolgy for net-based collaboration, the transmission of images and other data, the interaction of the human user with the digital environment, or the use of augmented reality systems. The goal of the lecture is to provide a deeper knowledge of today's VR environments that are used in business processes. The technical background, the algorithms, and the applied methods are explained more in detail. Finally, future tasks of VR will be discussed and an outlook on ongoing international research is given. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Introduction into Virtual Reality; basisc of augmented reality; interaction with digital data, tangible user interfaces (TUI); basics of simulation; compression procedures of image-, audio-, and video signals; new materials for force feedback devices; intorduction into data security; cryptography; definition of free-form surfaces; digital factory; new research fields of virtual reality | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | The handout is available in German and English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: "Visualization, Simulation and Interaction - Virtual Reality I" is recommended, but not mandatory. Didactical concept: The course consists of lectures and exercises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-8101-00L | International Engineering: from Hubris to Hope | W | 4 credits | 3G | E. Tilley, M. Kalina | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Since Europe surrendered their colonial assets, engineers from rich countries have returned to the African continent to address the real and perceived ills that they felt technology could solve. And yet, 70 years on, the promise of technology has largely failed to deliver widespread, substantive improvements in the quality of life. Why? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | This course is meant for engineers who are interested in pursuing an ethical and relevant career internationally, and who are willing to examine the complex role that well-meaning foreigners have played and continue to play in the disappointing health outcomes that characterize much of the African continent. After completing the course, participants will be able to • critique the jargon and terms used by the international community, i.e. “development”, “aid”, “cooperation”, “assistance” “third world” “developing” “global south” “low and middle-income” and justify their own chosen terminology • recognize the role of racism and white-supremacy in the development of the Aid industry • understand the political, financial, and cultural reasons why technology and infrastructure have historically failed • Debate the merits of international engineering in popular culture and media • Propose improved SDG indicators that address current shortcomings • Compare the engineering curricula of different countries to identify relative strengths and shortcomings • Explain the inherent biases of academic publishing and its impact on engineering failure • Analyse linkages between the rise of philanthropy and strategic priority areas • Recommend equitable, just funding models to achieve more sustainable outcomes • Formulate a vision for the international engineer of the future | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Role of international engineering during colonialism Transition of international engineering following colonialism White saviourism and racism in international engineering International engineering in popular culture The missing role of Engineering Education Biases academic publishing The emerging role in Global Philanthropy The paradox of International funding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | McGoey, L. (2015). No such thing as a free gift: The Gates Foundation and the price of philanthropy. Verso Books. Moyo, D. (2009). Dead aid: Why aid is not working and how there is a better way for Africa. Macmillan. Munk, N. (2013). The idealist: Jeffrey Sachs and the quest to end poverty. Signal. Rodney, W. (2018). How europe underdeveloped africa. Verso Trade. Rosenberg, N. (1970). Economic development and the transfer of technology: Some historical perspectives. Technology and Culture, 11(4), 550-575. Singer, H. W. (1970). Dualism revisited: a new approach to the problems of the dual society in developing countries. The journal of development studies, 7(1), 60-75. Van der Post, L. (1953). Venture to the Interior. Random House. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0917-00L | Mass Transfer | W | 4 credits | 2V + 2U | S. E. Pratsinis, V. Mavrantzas, C.‑J. Shih | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course presents the fundamentals of transport phenomena with emphasis on mass transfer. The physical significance of basic principles is elucidated and quantitatively described. Furthermore the application of these principles to important engineering problems is demonstrated. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | This course presents the fundamentals of transport phenomena with emphasis on mass transfer. The physical significance of basic principles is elucidated and quantitatively described. Furthermore the application of these principles to important engineering problems is demonstrated. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Fick's laws; application and significance of mass transfer; comparison of Fick's laws with Newton's and Fourier's laws; derivation of Fick's 2nd law; diffusion in dilute and concentrated solutions; rotating disk; dispersion; diffusion coefficients, viscosity and heat conduction (Pr and Sc numbers); Brownian motion; Stokes-Einstein equation; mass transfer coefficients (Nu and Sh numbers); mass transfer across interfaces; Analogies for mass-, heat-, and momentum transfer in turbulent flows; film-, penetration-, and surface renewal theories; simultaneous mass, heat and momentum transfer (boundary layers); homogeneous and heterogeneous reversible and irreversible reactions; diffusion-controlled reactions; mass transfer and first order heterogeneous reaction. Applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Cussler, E.L.: "Diffusion", 3nd edition, Cambridge University Press, 2009. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Students attending this highly-demanding course are expected to allocate sufficient time within their weekly schedule to successfully conduct the exercises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0386-00L | Biomedical Engineering | W | 4 credits | 3G | J. Vörös, S. J. Ferguson, S. Kozerke, M. P. Wolf, M. Zenobi-Wong | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction into selected topics of biomedical engineering as well as their relationship with physics and physiology. The focus is on learning the concepts that govern common medical instruments and the most important organs from an engineering point of view. In addition, the most recent achievements and trends of the field of biomedical engineering are also outlined. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | Introduction into selected topics of biomedical engineering as well as their relationship with physics and physiology. The course provides an overview of the various topics of the different tracks of the biomedical engineering master course and helps orienting the students in selecting their specialized classes and project locations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Introduction into neuro- and electrophysiology. Functional analysis of peripheral nerves, muscles, sensory organs and the central nervous system. Electrograms, evoked potentials. Audiometry, optometry. Functional electrostimulation: Cardiac pacemakers. Function of the heart and the circulatory system, transport and exchange of substances in the human body, pharmacokinetics. Endoscopy, medical television technology. Lithotripsy. Electrical Safety. Orthopaedic biomechanics. Lung function. Bioinformatics and Bioelectronics. Biomaterials. Biosensors. Microcirculation.Metabolism. Practical and theoretical exercises in small groups in the laboratory. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Introduction to Biomedical Engineering by Enderle, Banchard, and Bronzino AND https://lbb.ethz.ch/education/biomedical-engineering.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0393-10L | Bioelectronics and Biosensors | W | 6 credits | 2V + 2U | J. Vörös, M. F. Yanik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course introduces bioelectricity and the sensing concepts that enable obtaining information about neurons and their networks. The sources of electrical fields and currents in the context of biological systems are discussed. The fundamental concepts and challenges of measuring bioelectronic signals and the basic concepts to record optogenetically modified organisms are introduced. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | During this course the students will: - learn the basic concepts of bioelectronics - be able to solve typical problems in bioelectronics - learn about the remaining challenges in this field | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Lecture 1. Introduction to the field of bioelectronics and its challenges Sources of bioelectronic signals L2. Membrane and Transport L3. Action potential and Hodgkin-Huxley L4. Action potential and Hodgkin-Huxley 2 Measuring bioelectronic signals L5. Detection and Noise L6. Measuring currents in solutions, nanopore sensing and patch clamp pipettes L7. Measuring potentials in solution and core conductance L8. Measuring electronic signals with wearable electronics, ECG, EEG L9. Measuring mechanical signals with bioelectronics In vivo stimulation and recording L10. Functional electric stimulation L11. In vivo electrophysiology Optical recording and control of neurons (optogenetics) L12. Measuring neurons optically, fundamentals of optical microscopy L13. Fluorescent probes and scanning microscopy, optogenetics, in vivo microscopy L14. Measuring chemical signals | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | The course has its own script including the exercises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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, pressure, diffusion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 227-0447-00L | Image Analysis and Computer Vision | W | 6 credits | 3V + 1U | L. Van Gool, E. Konukoglu, F. Yu | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0939-00L | Cell Biophysics | W | 6 credits | 4G | T. Zambelli | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Applying two fundamental principles of thermodynamics (entropy maximization and Gibbs energy minimization), an analytical model is derived for a variety of biological phenomena at the molecular as well as cellular level, and critically compared with the corresponding experimental data in the literature. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | Engineering uses the laws of physics to predict the behavior of a system. Biological systems are so diverse and complex prompting the question whether we can apply unifying concepts of theoretical physics coping with the multiplicity of life’s mechanisms. Objective of this course is to show that biological phenomena despite their variety can be analytically described using only two principles from statistical mechanics: maximization of the entropy and minimization of the Gibbs free energy. Starting point of the course is the probability theory, which enables to derive step-by-step the two pillars thermodynamics from the perspective of statistical mechanics: the maximization of entropy according to the Boltzmann’s law as well as the minimization of the Gibbs free energy. Then, an assortment of biological phenomena at the molecular and cellular level (e.g. cytoskeletal polymerization, action potential, photosynthesis, gene regulation, morphogen patterning) will be examined at the light of these two principles with the aim to derive a quantitative expression describing their behavior. Each analytical model is finally validated by comparing it with the corresponding available experimental results. By the end of the course, students will also learn to critically evaluate the concepts of making an assumption and making an approximation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | • Basics of theory of probability • Boltzmann's law • Entropy maximization and Gibbs free energy minimization • Ligand-receptor: two-state systems and the MWC model • Random walks, diffusion, crowding • Electrostatics for salty solutions • Elasticity: fibers and membranes • Molecular motors • Action potential: Hodgkin-Huxley model • Photosynthesis and vision • Gene regulation • Development: Turing patterns • Sequences and evolution Theory and corresponding exercises are merged together during the classes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | No lecture notes because the two proposed textbooks are more than exhaustive! An extra hour (Mon 17.00 o'clock - 18.00) will be proposed via zoom to solve together the exercises of the previous week. !!!!! I am using OneNote. All lectures and exercises will be broadcast via ZOOM and correspondingly recorded (link in Moodle) !!!!! | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | • (Statistical Mechanics) K. Dill, S. Bromberg, "Molecular Driving Forces", 2nd Edition, Garland Science, 2010. • (Biophysics) R. Phillips, J. Kondev, J. Theriot, H. Garcia, "Physical Biology of the Cell", 2nd Edition, Garland Science, 2012. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Participants need a good command of • differentiation and integration of a function with one or more variables (basics of Analysis), • Newton's and Coulomb's laws (basics of Mechanics and Electrostatics). Notions of vectors in 2D and 3D are beneficial. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 227-0945-00L | Cell and Molecular Biology for Engineers I This course is part I of a two-semester course. | W | 3 credits | 2G | C. Frei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course gives an introduction into cellular and molecular biology, specifically for students with a background in engineering. The focus will be on the basic organization of eukaryotic cells, molecular mechanisms and cellular functions. Textbook knowledge will be combined with results from recent research and technological innovations in biology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | After completing this course, engineering students will be able to apply their previous training in the quantitative and physical sciences to modern biology. Students will also learn the principles how biological models are established, and how these models can be tested. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Lectures will include the following topics (part I and II): DNA, chromosomes, genome engineering, RNA, proteins, genetics, synthetic biology, gene expression, membrane structure and function, vesicular traffic, cellular communication, energy conversion, cytoskeleton, cell cycle, cellular growth, apoptosis, autophagy, cancer and stem cells. In addition, 4 journal clubs will be held, where recent publications will be discussed (2 journal clubs in part I and 2 journal clubs in part II). For each journal club, students (alone or in groups of up to three students) have to write a summary and discussion of the publication. These written documents will be graded and count as 40% for the final grade. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Scripts of all lectures will be available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | "Molecular Biology of the Cell" (6th edition) by Alberts, Johnson, Lewis, Raff, Roberts, and Walter. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 227-0965-00L | Micro and Nano-Tomography of Biological Tissues | W | 4 credits | 3G | M. Stampanoni, F. Marone Welford | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0981-00L | Cross-Disciplinary Research and Development in Medicine and Engineering  A maximum of 12 medical degree students and 12 (biomedical) engineering degree students can be admitted, their number should be equal. | W | 4 credits | 2V + 2A | V. Kurtcuoglu, D. de Julien de Zelicourt, M. Meboldt, M. Schmid Daners, O. Ullrich | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Cross-disciplinary collaboration between engineers and medical doctors is indispensable for innovation in health care. This course will bring together engineering students from ETH Zurich and medical students from the University of Zurich to experience the rewards and challenges of such interdisciplinary work in a project based learning environment. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | The main goal of this course is to demonstrate the differences in communication between the fields of medicine and engineering. Since such differences become the most evident during actual collaborative work, the course is based on a current project in physiology research that combines medicine and engineering. For the engineering students, the specific aims of the course are to: - Acquire a working understanding of the anatomy and physiology of the investigated system; - Identify the engineering challenges in the project and communicate them to the medical students; - Develop and implement, together with the medical students, solution strategies for the identified challenges; - Present the found solutions to a cross-disciplinary audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | After a general introduction to interdisciplinary communication and detailed background on the collaborative project, the engineering students will team up with medical students to find solutions to a biomedical challenge. In the process, they will be supervised both by lecturers from ETH Zurich and the University of Zurich, receiving coaching customized to the project. The course will end with each team presenting their solution to a cross-disciplinary audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Handouts and relevant literature will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | IMPORTANT: Note that a special permission from the lecturers is required to register for this course. Contact the head lecturer to that end. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 252-0834-00L | Information Systems for Engineers | W | 4 credits | 2V + 1U | G. Fourny | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course provides the basics of relational databases from the perspective of the user. We will discover why tables are so incredibly powerful to express relations, learn the SQL query language, and how to make the most of it. The course also covers support for data cubes (analytics). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | This lesson is complementary with Big Data for Engineers as they cover different time periods of database history and practices -- you can take them in any order, even though it might be more enjoyable to take this lecture first. After visiting this course, you will be capable to: 1. Explain, in the big picture, how a relational database works and what it can do in your own words. 2. Explain the relational data model (tables, rows, attributes, primary keys, foreign keys), formally and informally, including the relational algebra operators (select, project, rename, all kinds of joins, division, cartesian product, union, intersection, etc). 3. Perform non-trivial reading SQL queries on existing relational databases, as well as insert new data, update and delete existing data. 4. Design new schemas to store data in accordance to the real world's constraints, such as relationship cardinality 5. Explain what bad design is and why it matters. 6. Adapt and improve an existing schema to make it more robust against anomalies, thanks to a very good theoretical knowledge of what is called "normal forms". 7. Understand how indices work (hash indices, B-trees), how they are implemented, and how to use them to make queries faster. 8. Access an existing relational database from a host language such as Java, using bridges such as JDBC. 9. Explain what data independence is all about and didn't age a bit since the 1970s. 10. Explain, in the big picture, how a relational database is physically implemented. 11. Know and deal with the natural syntax for relational data, CSV. 12. Explain the data cube model including slicing and dicing. 13. Store data cubes in a relational database. 14. Map cube queries to SQL. 15. Slice and dice cubes in a UI. And of course, you will think that tables are the most wonderful object in the world. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Using a relational database ================= 1. Introduction 2. The relational model 3. Data definition with SQL 4. The relational algebra 5. Queries with SQL Taking a relational database to the next level ================= 6. Database design theory 7. Databases and host languages 8. Databases and host languages 9. Indices and optimization 10. Database architecture and storage Analytics on top of a relational database ================= 12. Data cubes Outlook ================= 13. Outlook | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | - Lecture material (slides). - Book: "Database Systems: The Complete Book", H. Garcia-Molina, J.D. Ullman, J. Widom (It is not required to buy the book, as the library has it) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | For non-CS/DS students only, BSc and MSc Elementary knowledge of set theory and logics Knowledge as well as basic experience with a programming language such as Pascal, C, C++, Java, Haskell, Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-0121-00L | Multiscale Bone Biomechanics Number of participants limited to 30 | W | 6 credits | 4S | R. Müller, X.‑H. Qin | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 allow 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. 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. Lastly, state-of-the-art developments in tissue engineering and regeneration, 3D bioprinting and bio-manufacturing and organoid technology will be highlighted towards personalized health. For the seminar, concepts of video lectures will be used in a flipped classroom 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. 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, interactive video lectures on the online learning platform Moodle. Students are able to post questions at the end of each video lecture or the Moodle forum 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 (Q&A). Following the Q&A, 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 clinical application. 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 on Moodle and eColab. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prior experience with the programming language python is beneficial but not mandatory. ETH offers courses for practical programming with python. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1177-00L | Human Factors I | W | 3 credits | 2V | M. Menozzi Jäckli, R. Huang, M. Siegrist | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Strategies of human-system-interaction, individual needs, physical & mental abilities, and system properties are key factors affecting 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 health, well-being, and satisfaction as well as the overall system performance. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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, perception, and action - Body spaces and functional anthropometry, Digital Human Models - Experimental techniques in assessing human performance, well-being, and comfort - Usability engineering 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1219-00L | Rehabilitation Engineering II: Rehabilitation of Sensory and Vegetative Functions | W | 3 credits | 2V | R. Riener, 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1504-00L | Physical Human Robot Interaction (pHRI) | W | 4 credits | 2V + 2U | O. Lambercy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course focuses on the emerging, interdisciplinary field of physical human-robot interaction, bringing together themes from robotics, real-time control, human factors, haptics, virtual environments, interaction design and other fields to enable the development of human-oriented robotic systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | The objective of this course is to give an introduction to the fundamentals of physical human robot interaction, through lectures on the underlying theoretical/mechatronics aspects and application fields, in combination with a hands-on lab tutorial. The course will guide students through the design and evaluation process of such systems. By the end of this course, you should understand the critical elements in human-robot interactions - both in terms of engineering and human factors - and use these to evaluate and de- sign safe and efficient assistive and rehabilitative robotic systems. Specifically, you should be able to: 1) identify critical human factors in physical human-robot interaction and use these to derive design requirements; 2) compare and select mechatronic components that optimally fulfill the defined design requirements; 3) derive a model of the device dynamics to guide and optimize the selection and integration of selected components into a functional system; 4) design control hardware and software and implement and test human-interactive control strategies on the physical setup; 5) characterize and optimize such systems using both engineering and psychophysical evaluation metrics; 6) investigate and optimize one aspect of the physical setup and convey and defend the gained insights in a technical presentation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | This course provides an introduction to fundamental aspects of physical human-robot interaction. After an overview of human haptic, visual and auditory sensing, neurophysiology and psychophysics, principles of human-robot interaction systems (kinematics, mechanical transmissions, robot sensors and actuators used in these systems) will be introduced. Throughout the course, students will gain knowledge of interaction control strategies including impedance/admittance and force control, haptic rendering basics and issues in device design for humans such as transparency and stability analysis, safety hardware and procedures. The course is organized into lectures that aim to bring students up to speed with the basics of these systems, readings on classical and current topics in physical human-robot interaction, laboratory sessions and lab visits. Students will attend periodic laboratory sessions where they will implement the theoretical aspects learned during the lectures. Here the salient features of haptic device design will be identified and theoretical aspects will be implemented in a haptic system based on the haptic paddle (https://relab.ethz.ch/downloads/open-hardware/haptic-paddle.html), by creating simple dynamic haptic virtual environments and understanding the performance limitations and causes of instabilities (direct/virtual coupling, friction, damping, time delays, sampling rate, sensor quantization, etc.) during rendering of different mechanical properties. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Will be distributed on Moodle before the lectures. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Abbott, J. and Okamura, A. (2005). Effects of position quantization and sampling rate on virtual-wall passivity. Robotics, IEEE Transactions on, 21(5):952 - 964. Adams, R. and Hannaford, B. (1999). Stable haptic interaction with virtual environments. Robotics and Automation, IEEE Transactions on, 15(3):465 - 474. Buerger, S. and Hogan, N. (2007). Complementary stability and loop shaping for improved human-robot interaction. Robotics, IEEE Transactions on, 23(2):232 - 244. Burdea, G. and Brooks, F. (1996). Force and touch feedback for virtual reality. John Wiley & Sons New York NY. Colgate, J. and Brown, J. (1994). Factors affecting the z-width of a haptic display. In Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on, pages 3205 -3210 vol. 4. Diolaiti, N., Niemeyer, G., Barbagli, F., and Salisbury, J. (2006). Stability of haptic rendering: Discretization, quantization, time delay, and coulomb effects. Robotics, IEEE Transactions on, 22(2):256 - 268. Gillespie, R. and Cutkosky, M. (1996). Stable user-specific haptic rendering of the virtual wall. In Proceedings of the ASME International Mechanical Engineering Congress and Exhibition, volume 58, pages 397 - 406. Hannaford, B. and Ryu, J.-H. (2002). Time-domain passivity control of haptic interfaces. Robotics and Automation, IEEE Transactions on, 18(1):1 - 10. Hashtrudi-Zaad, K. and Salcudean, S. (2001). Analysis of control architectures for teleoperation systems with impedance/admittance master and slave manipulators. The International Journal of Robotics Research, 20(6):419. Hayward, V. and Astley, O. (1996). Performance measures for haptic interfaces. In ROBOTICS RESEARCH-INTERNATIONAL SYMPOSIUM, volume 7, pages 195-206. Citeseer. Hayward, V. and Maclean, K. (2007). Do it yourself haptics: part i. Robotics Automation Magazine, IEEE, 14(4):88 - 104. Leskovsky, P., Harders, M., and Szeekely, G. (2006). Assessing the fidelity of haptically rendered deformable objects. In Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2006 14th Symposium on, pages 19 - 25. MacLean, K. and Hayward, V. (2008). Do it yourself haptics: Part ii [tutorial]. Robotics Automation Magazine, IEEE, 15(1):104 - 119. Mahvash, M. and Hayward, V. (2003). Passivity-based high-fidelity haptic rendering of contact. In Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on, volume 3, pages 3722 - 3728. Mehling, J., Colgate, J., and Peshkin, M. (2005). Increasing the impedance range of a haptic display by adding electrical damping. In Eurohaptics Conference, 2005 and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2005. World Haptics 2005. First Joint, pages 257 - 262. Okamura, A., Richard, C., and Cutkosky, M. (2002). Feeling is believing: Using a force-feedback joystick to teach dynamic systems. JOURNAL OF ENGINEERING EDUCATION-WASHINGTON, 91(3):345 - 350. O'Malley, M. and Goldfarb, M. (2004). The effect of virtual surface stiffness on the haptic perception of detail. Mechatronics, IEEE/ASME Transactions on, 9(2):448 - 454. Richard, C. and Cutkosky, M. (2000). The effects of real and computer generated friction on human performance in a targeting task. In Proceedings of the ASME Dynamic Systems and Control Division, volume 69, page 2. Salisbury, K., Conti, F., and Barbagli, F. (2004). Haptic rendering: Introductory concepts. Computer Graphics and Applications, IEEE, 24(2):24 - 32. Weir, D., Colgate, J., and Peshkin, M. (2008). Measuring and increasing z-width with active electrical damping. In Haptic interfaces for virtual environment and teleoperator systems, 2008. haptics 2008. symposium on, pages 169 - 175. Yasrebi, N. and Constantinescu, D. (2008). Extending the z-width of a haptic device using acceleration feedback. Haptics: Perception, Devices and Scenarios, pages 157-162. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Notice: The registration is limited to 26 students There are 4 credit points for this lecture. The lecture will be held in English. The students are expected to have basic control knowledge from previous classes. http://www.relab.ethz.ch/education/courses/phri.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1651-00L | Clinical and Movement Biomechanics Number of participants limited to 50. | W | 4 credits | 3G | N. Singh, R. List, P. Schütz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Measurement and modeling of the human movement during daily activities and in a clinical environment. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | The students are able to analyse the human movement from a technical point of view, to process the data and perform modeling with a focus towards clinical application. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | This course includes study design, measurement techniques, clinical testing, accessing movement data and anysis as well as modeling with regards to human movement. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1714-00L | Biocompatible Materials | W | 4 credits | 3V | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1985-00L | Trauma Biomechanics | W | 4 credits | 2V + 1U | K.‑U. Schmitt, M. H. Muser | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Trauma biomechanics in an interdisciplinary research field investigating the biomechanics of injuries and related subjects such as prevention. The lecture provides an introduction to the basic principles of trauma biomechanics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Objective | Introduction to the basic principles of trauma biomechanics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | This lecture serves as an introduction to the field of trauma biomechanics. Emphasis is placed on the interdisciplinary nature of impact biomechanics, which uses the combination of fundamental engineering principles and advanced medical technologies to develop injury prevention measures. Topics include: accident statistics and accident reconstruction, biomechanical response of the human to impact loading, injury mechanisms and injury criteria, test methods (including crash tests), computer simulations, aspects of vehicle safety. Real world examples mainly from automobile safety are used to augment lecture material. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Handouts will be made available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Schmitt K-U, et al. "Trauma Biomechanics - An Introduction to Injury Biomechanics", Springer Publ. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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