Ralph Müller: Catalogue data in Spring Semester 2021 |
Name | Prof. Dr. Ralph Müller |
Field | Biomechanik |
Address | Institut für Biomechanik ETH Zürich, GLC H 15.1 Gloriastrasse 37/ 39 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 45 92 |
Fax | +41 44 633 11 24 |
ram@ethz.ch | |
URL | http://n.ethz.ch/~ram/cv.html |
Department | Health Sciences and Technology |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
376-0022-00L | Imaging and Computing in Medicine | 4 credits | 3G | R. Müller, C. J. Collins | |
Abstract | Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamentals as well as modern techniques and methods of imaging and computing in medicine. | ||||
Learning objective | 1. Understanding and practical implementation of biosignal processes methods for imaging 2. Understanding of imaging techniques including radiation imaging, radiographic imaging systems, computed tomography imaging, diagnostic ultrasound imaging, and magnetic resonance imaging 3. Knowledge of computing, programming, modelling and simulation fundamentals 4. Computational and systems thinking as well as scripting and programming skills 5. Understanding and practical implementation of emerging computational methods and their application in medicine including artificial intelligence, deep learning, big data, and complexity 6. Understanding of the emerging concept of personalised and in silico medicine 7. Encouragement of critical thinking and creating an environment for independent and self-directed studying | ||||
Content | Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamentals as well as modern techniques and methods of imaging and computing in medicine. For the imaging portion of the course, biosignal processing, radiation imaging, radiographic imaging systems, computed tomography imaging, diagnostic ultrasound imaging, and magnetic resonance imaging are covered. For the computing portion of the course, computing, programming, and modelling and simulation fundamentals are covered as well as their application in artificial intelligence and deep learning; complexity and systems medicine; big data and personalised medicine; and computational physiology and in silico medicine. The course is structured as a seminar in three parts of 45 minutes with video lectures and a flipped classroom setup: in the first part (TORQUEs: Tiny, Open-with-Restrictions courses focused on QUality and Effectiveness), students study the basic concepts in short video lectures on the online learning platform Moodle. At the end of this first part, students are able to post a number of questions in the Moodle forum or directly in the comments section of the video lecture that will be addressed in the second part of the lectures using a flipped classroom concept. For the flipped classroom, the lecturers may prepare additional teaching material to answer the posted questions and potentially discuss further questions (Q&A). Following the Q&A, the students will form small groups to acquire additional knowledge using online, interactive activities or additionally distributed material and discuss their findings in teams. Learning outcomes will be reinforced with weekly Moodle assignments, to be completed during the flipped classroom portion. | ||||
Lecture notes | Stored on Moodle. | ||||
Prerequisites / Notice | Lectures will be given in English. | ||||
376-1397-00L | Orthopaedic Biomechanics Number of participants limited to 48. | 3 credits | 2G | R. Müller, J. Schwiedrzik | |
Abstract | This course is aimed at studying the mechanical and structural engineering of the musculoskeletal system alongside the analysis and design of orthopaedic solutions to musculoskeletal failure. | ||||
Learning objective | To apply engineering and design principles to orthopaedic biomechanics, to quantitatively assess the musculoskeletal system and model it, and to review rigid-body dynamics in an interesting context. | ||||
Content | Engineering principles are very important in the development and application of quantitative approaches in biology and medicine. This course includes a general introduction to structure and function of the musculoskeletal system: anatomy and physiology of musculoskeletal tissues and joints; biomechanical methods to assess and quantify tissues and large joint systems. These methods will also be applied to musculoskeletal failure, joint replacement and reconstruction; implants; biomaterials and tissue engineering. | ||||
Lecture notes | Stored on Moodle. | ||||
Literature | Orthopaedic Biomechanics: Mechanics and Design in Musculoskeletal Systems Authors: Donald L. Bartel, Dwight T. Davy, Tony M. Keaveny Publisher: Prentice Hall; Copyright: 2007 ISBN-10: 0130089095; ISBN-13: 9780130089090 | ||||
Prerequisites / Notice | Lectures will be given in English. | ||||
376-1974-00L | Colloquium in Biomechanics | 2 credits | 2K | B. Helgason, S. J. Ferguson, R. Müller, J. G. Snedeker, W. R. Taylor, M. Zenobi-Wong | |
Abstract | Current topics in biomechanics presented by speakers from academia and industry. | ||||
Learning objective | Getting insight into actual areas and problems of biomechanics. |