Suchergebnis: Katalogdaten im Frühjahrssemester 2019
Gesundheitswissenschaften und Technologie Bachelor  | ||||||
 Bachelor-Studium (Studienreglement 2013) | ||||||
| Schwerpunktfächer 3. Studienjahr | ||||||
| Schwerpunktfächer Medizintechnik | ||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|---|
| 376-0210-00L | Biomechatronics Primär für HST-Studierende ausgelegt. Die Biomechatronics Vorlesung ist nicht für Studierende geeignet, welche bereits die Vorlesung "Physical Human-Robot Interaction"(376-1504-00L) besucht haben, da sie ähnliche Themen abdeckt. Matlab Kenntnisse sind vorteilhaft -> online Tutorial http://www.imrtweb.ethz.ch/matlab/ | W | 4 KP | 3G | R. Riener, R. Gassert | |
| Kurzbeschreibung | Development of mechatronic systems (i.e. mechanics, electronics, computer science and system integration) with inspiration from biology and application in the living (human) organism. | |||||
| Lernziel | The objective of this course is to give an introduction to the fundamentals of biomechatronics, through lectures on the underlying theoretical/mechatronics aspects and application fields. In the exercises, these concepts will be intensified and trained on the basis of specific examples. The course will guide students through the design and evaluation process of such systems, and highlight a number of applications. By the end of this course, you should understand the critical elements of biomechatronics and their interaction with biological systems, both in terms of engineering metrics and human factors. You will be able to apply the learned methods and principles to the design, improvement and evaluation of safe and efficient biomechatronics systems. | |||||
| Inhalt | The course will cover the interdisciplinary elements of biomechatronics, ranging from human factors to sensor and actuator technologies, real-time signal processing, system kinematics and dynamics, modeling and simulation, controls and graphical rendering as well as safety/ethical aspects, and provide an overview of the diverse applications of biomechatronics technology. | |||||
| Skript | Slides will be distributed through moodle before the lectures. | |||||
| Literatur | Brooker, G. (2012). Introduction to Biomechatronics. SciTech Publishing. Riener, R., Harders, M. (2012) Virtual Reality in Medicine. Springer, London. | |||||
| Voraussetzungen / Besonderes | None | |||||
| 376-0022-00L | Imaging and Computing in Medicine  | W | 4 KP | 3G | R. Müller, P. Christen | |
| Kurzbeschreibung | Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamental as well as modern techniques and methods of imaging and computing in medicine. | |||||
| Lernziel | 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 | |||||
| Inhalt | Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamental as well as modern techniques and methods of imaging and computing in medicine. In imaging, biosignal processing, radiation imaging, radiographic imaging systems, computed tomography imaging, diagnostic ultrasound imaging, and magnetic resonance imaging are covered. In computing, 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 class room 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, must post a number of questions in the Moodle forum that will be addressed in the second part of the lectures using a flipped classroom concept. First, the lecturers may prepare additional teaching material to answer the posted questions and potentially discuss further questions (Q&A). Second, the students will form small groups to acquire additional knowledge online or from additionally distributed material and to present their findings to the rest of the class. | |||||
| Skript | Stored on Moodle. | |||||
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