Search result: Course units in Spring Semester 2021
Robotics, Systems and Control Master | ||||||
Core Courses | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|---|
151-0116-10L | High Performance Computing for Science and Engineering (HPCSE) for Engineers II | W | 4 credits | 4G | P. Koumoutsakos, S. M. Martin | |
151-0306-00L | Visualization, Simulation and Interaction - Virtual Reality I | W | 4 credits | 4G | A. Kunz | |
151-0534-00L | Advanced Dynamics | W | 4 credits | 3V + 1U | P. Tiso | |
151-0566-00L | Recursive Estimation | W | 4 credits | 2V + 1U | R. D'Andrea | |
151-0593-00L | Embedded Control Systems | W | 4 credits | 6G | J. S. Freudenberg, M. Schmid Daners | |
151-0630-00L | Nanorobotics | W | 4 credits | 2V + 1U | S. Pané Vidal | |
151-0634-00L | Perception and Learning for Robotics Number of participants limited to: 30 To apply for the course please create a CV in pdf of max. 2 pages, including your machine learning and/or robotics experience. Please send the pdf to Link for approval. | W | 4 credits | 9A | C. D. Cadena Lerma, J. J. Chung | |
151-0636-00L | Soft and Biohybrid Robotics | W | 4 credits | 3G | R. Katzschmann | |
151-0641-00L | Introduction to Robotics and Mechatronics Number of participants limited to 45. Enrollment is only valid through registration on the MSRL website (Link). Registrations per e-mail is no longer accepted! | W | 4 credits | 2V + 2U | B. Nelson, N. Shamsudhin | |
151-0660-00L | Model Predictive Control | W | 4 credits | 2V + 1U | M. Zeilinger, A. Carron | |
151-0854-00L | Autonomous Mobile Robots | W | 5 credits | 4G | R. Siegwart, M. Chli, N. Lawrance | |
151-9904-00L | Applied Compositional Thinking for Engineers | W | 4 credits | 3G | E. Frazzoli, A. Censi, J. Lorand | |
151-1115-00L | Aircraft Aerodynamics and Flight Mechanics | W | 4 credits | 3G | J. Wildi | |
101-0521-10L | Machine Learning for Predictive Maintenance Applications The number of participants in the course is limited to 25 students. Students interested in attending the lecture are requested to upload their transcript and a short motivation responding the following two questions (max. 200 words): -How does this course fit to the other courses you have attended so far? -How does the course support you in achieving your goal? The following link can be used to upload the documents. Link | W | 8 credits | 4G | O. Fink | |
103-0848-00L | Industrial Metrology and Machine Vision Number of participants limited to 30. | W | 4 credits | 3G | K. Schindler, D. Salido Monzú | |
227-0207-00L | Nonlinear Systems and Control Prerequisite: Control Systems (227-0103-00L) | W | 6 credits | 4G | E. Gallestey Alvarez, P. F. Al Hokayem | |
227-0216-00L | Control Systems II | W | 6 credits | 4G | R. Smith | |
227-0224-00L | Stochastic Systems Does not take place this semester. | W | 4 credits | 2V + 1U | to be announced | |
227-0248-00L | Power Electronic Systems II | W | 6 credits | 4G | J. W. Kolar | |
227-0518-10L | Design and Control of Electric Machines | W | 6 credits | 4G | D. Bortis | |
227-0528-00L | Power System Dynamics, Control and Operation | W | 6 credits | 4G | G. Hug | |
227-0560-00L | Deep Learning for Autonomous Driving Registration in this class requires the permission of the instructors. Class size will be limited to 80 students. Please send an email to Dengxin Dai <Link> about your courses/projects that are related to machine learning, computer vision, and Robotics. | W | 6 credits | 3V + 2P | D. Dai, A. Liniger | |
227-0694-00L | Game Theory and Control | W | 4 credits | 2V + 2U | S. Bolognani | |
227-0696-00L | Predictive Control of Power Electronics Systems | W | 6 credits | 2V + 2U | T. Geyer | |
252-0220-00L | Introduction to Machine Learning Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact Link | W | 8 credits | 4V + 2U + 1A | A. Krause, F. Yang | |
252-0312-00L | Ubiquitous Computing | W | 6 credits | 2V + 3A | C. Holz | |
252-0526-00L | Statistical Learning Theory | W | 8 credits | 3V + 2U + 2A | J. M. Buhmann, C. Cotrini Jimenez | |
252-0579-00L | 3D Vision | W | 5 credits | 3G + 1A | M. Pollefeys, V. Larsson | |
263-5806-00L | Computational Models of Motion | W | 8 credits | 2V + 2U + 3A | S. Coros, M. Bächer, B. Thomaszewski | |
376-1217-00L | Rehabilitation Engineering I: Motor Functions | W | 4 credits | 2V + 1U | S. Raspopovic, M. Xiloyannis | |
227-0690-12L | Advanced Topics in Control (Spring 2021) New topics are introduced every year. | W | 4 credits | 2V + 2U | F. Dörfler, M. Hudoba de Badyn, W. Mei | |
Multidisciplinary Courses | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
» Any courses offered by the Departments of MAVT, ITET or INFK. Your tutor must agree to this choice. | ||||||
151-9062-00L | Robotics Summer School | W | 1 credit | 2S | C. D. Cadena Lerma, M. Chli, M. Hutter | |
GESS Science in Perspective | ||||||
» see Science in Perspective: Type A: Enhancement of Reflection Capability | ||||||
» Recommended Science in Perspective (Type B) for D-MAVT | ||||||
» see Science in Perspective: Language Courses ETH/UZH | ||||||
Semester Project | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
151-1014-00L | Semester Project Robotics, Systems and Control Only for Robotics, Systems and Control MSc. The subject of the Semester Project and the choice of the supervisor (ETH-professor) are to be approved in advance by the tutor. | O | 8 credits | 17A | Professors | |
Industrial Internship | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
151-1090-00L | Industrial Internship Access to the company list and request for recognition under Link. No registration required via myStudies. | O | 8 credits | external organisers | ||
Master's Thesis | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
151-1016-00L | Master's Thesis Robotics, Systems and Control Students who fulfill the following criteria are allowed to begin with their Master's Thesis: a. successful completion of the bachelor program; b. fulfilling of any additional requirements necessary to gain admission to the master programme; c. successful completion of the semester project; d. achievement of 28 ECTS in the category "Core Courses". The Master's Thesis must be approved in advance by the tutor and is supervised by a professor of ETH Zurich or an adjunct faculty of RSC. To choose a titular professor as a supervisor, please contact the D-MAVT Student Administration. | O | 30 credits | 64D | Professors |