Search result: Courses in Spring Semester 2020
Robotics, Systems and Control Master | ||||||||||||||||||
Core Courses | ||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
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151-0116-10L | High Performance Computing for Science and Engineering (HPCSE) for Engineers II | W | 4 credits | 4G | ||||||||||||||
151-0116-00 G | High Performance Computing for Science and Engineering (HPCSE) II Lecture: 13-15h Exercises: 10-12h The exercises begin in the second week of the semester. | 4 hrs |
| P. Koumoutsakos, S. M. Martin | ||||||||||||||
151-0306-00L | Visualization, Simulation and Interaction - Virtual Reality I | W | 4 credits | 4G | ||||||||||||||
151-0306-00 G | Visualization, Simulation and Interaction - Virtual Reality I Start in the second week of the Semester. | 4 hrs |
| A. Kunz | ||||||||||||||
151-0534-00L | Advanced Dynamics | W | 4 credits | 3V + 1U | ||||||||||||||
151-0534-00 V | Advanced Dynamics | 3 hrs |
| P. Tiso | ||||||||||||||
151-0534-00 U | Advanced Dynamics | 1 hrs |
| P. Tiso | ||||||||||||||
151-0566-00L | Recursive Estimation | W | 4 credits | 2V + 1U | ||||||||||||||
151-0566-00 V | Recursive Estimation The lecture starts in the second week of the Semester. | 2 hrs |
| R. D'Andrea | ||||||||||||||
151-0566-00 U | Recursive Estimation The exercise starts in the second week of the Semester. | 1 hrs |
| R. D'Andrea | ||||||||||||||
151-0623-00L | ETH Zurich Distinguished Seminar in Robotics, Systems and Controls | W | 1 credit | 1S | ||||||||||||||
151-0623-00 S | ETH Zurich Distinguished Seminar in Robotics, Systems and Controls Does not take place this semester. The seminar is organized by all IRIS professors (Link). | 1 hrs | B. Nelson, M. Chli, R. Gassert, M. Hutter, W. Karlen, R. Riener, R. Siegwart | |||||||||||||||
151-0630-00L | Nanorobotics | W | 4 credits | 2V + 1U | ||||||||||||||
151-0630-00 V | Nanorobotics | 2 hrs |
| S. Pané Vidal | ||||||||||||||
151-0630-00 U | Nanorobotics | 1 hrs |
| 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 | ||||||||||||||
151-0634-00 A | Perception and Learning for Robotics The lectures take place on the following days in the 2nd week of the Semester: - Monday 24.02.2020 at 14-18 - Wednesday 26.02.2020 at 14-18 - Friday 28.02.2020 at 14-18 The venue will be announced later. | 120s hrs |
| C. D. Cadena Lerma, J. J. Chung | ||||||||||||||
151-0641-00L | Introduction to Robotics and Mechatronics Number of participants limited to 60. Enrollment is only valid through registration on the MSRL website (Link). Registrations per e-mail is no longer accepted! | W | 4 credits | 2V + 2U | ||||||||||||||
151-0641-00 V | Introduction to Robotics and Mechatronics Permission from lecturers required for all students.
| 2 hrs |
| B. Nelson, N. Shamsudhin | ||||||||||||||
151-0641-00 U | Introduction to Robotics and Mechatronics Permission from lecturers required for all students.
A choice of four different time slots is arranged for the exercise session in a goup room. The students will be informed about it during the enrollment process. | 2 hrs | B. Nelson, N. Shamsudhin | |||||||||||||||
151-0660-00L | Model Predictive Control | W | 4 credits | 2V + 1U | ||||||||||||||
151-0660-00 V | Model Predictive Control | 2 hrs |
| M. Zeilinger | ||||||||||||||
151-0660-00 U | Model Predictive Control | 1 hrs |
| M. Zeilinger | ||||||||||||||
151-0854-00L | Autonomous Mobile Robots | W | 5 credits | 4G | ||||||||||||||
151-0854-00 G | Autonomous Mobile Robots Exercises take place fortnightly upon consultation on Tuesday at 14-16h. | 4 hrs |
| R. Siegwart, M. Chli, N. Lawrance | ||||||||||||||
151-1115-00L | Aircraft Aerodynamics and Flight Mechanics | W | 4 credits | 3G | ||||||||||||||
151-1115-00 G | Ausgewählte Kapitel der Flugtechnik | 3 hrs |
| 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 | ||||||||||||||
101-0521-10 G | Machine Learning for Predictive Maintenance Applications | 4 hrs |
| O. Fink | ||||||||||||||
103-0848-00L | Industrial Metrology and Machine Vision Number of participants limited to 30. | W | 4 credits | 3G | ||||||||||||||
103-0848-00 G | Industrial Metrology and Machine Vision | 3 hrs |
| K. Schindler, A. Wieser | ||||||||||||||
227-0207-00L | Nonlinear Systems and Control Prerequisite: Control Systems (227-0103-00L) | W | 6 credits | 4G | ||||||||||||||
227-0207-00 G | Nonlinear Systems and Control | 4 hrs |
| E. Gallestey Alvarez, P. F. Al Hokayem | ||||||||||||||
227-0216-00L | Control Systems II | W | 6 credits | 4G | ||||||||||||||
227-0216-00 G | Control Systems II | 4 hrs |
| R. Smith | ||||||||||||||
227-0224-00L | Stochastic Systems | W | 4 credits | 2V + 1U | ||||||||||||||
227-0224-00 V | Stochastic Systems | 2 hrs |
| F. Herzog | ||||||||||||||
227-0224-00 U | Stochastic Systems | 1 hrs |
| F. Herzog | ||||||||||||||
227-0248-00L | Power Electronic Systems II | W | 6 credits | 4G | ||||||||||||||
227-0248-00 G | Power Electronic Systems II | 4 hrs |
| J. W. Kolar | ||||||||||||||
227-0528-00L | Power System Dynamics, Control and Operation | W | 6 credits | 4G | ||||||||||||||
227-0528-00 G | Power System Dynamics, Control and Operation | 4 hrs |
| 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. Preference is given to EEIT, INF and RSC students. | W | 6 credits | 3V + 2P | ||||||||||||||
227-0560-00 V | Deep Learning for Autonomous Driving
Permission from lecturers required for all students.
| 3 hrs |
| D. Dai, A. Liniger | ||||||||||||||
227-0560-00 P | Deep Learning for Autonomous Driving
Permission from lecturers required for all students.
| 2 hrs |
| D. Dai, A. Liniger | ||||||||||||||
227-0690-11L | Advanced Topics in Control (Spring 2020) New topics are introduced every year. | W | 4 credits | 2V + 2U | ||||||||||||||
227-0690-11 V | Advanced Topics in Control (Spring 2020) | 2 hrs |
| G. Banjac | ||||||||||||||
227-0690-11 U | Advanced Topics in Control (Spring 2020) | 2 hrs |
| G. Banjac |
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