Search result: Course units in Spring Semester 2020
|Mechanical Engineering Master|
| Robotics, Systems and Control|
The courses listed in this category “Core Courses” are recommended. Alternative courses can be chosen in agreement with the tutor.
|151-0310-00L||Model Predictive Engine Control |
Number of participants limited to 55.
|W||4 credits||2V + 1U||T. Albin Rajasingham|
|151-0314-00L||Information Technologies in the Digital Product||W||4 credits||3G||E. Zwicker, R. Montau|
|151-0318-00L||Ecodesign - Environmental-Oriented Product Development||W||4 credits||3G||R. Züst|
|151-0530-00L||Nonlinear Dynamics and Chaos II||W||4 credits||4G||G. Haller|
|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|
|151-0630-00L||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 email@example.com for approval.
|W||4 credits||9A||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 (www.msrl.ethz.ch). 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|
|151-0854-00L||Autonomous Mobile Robots||W||5 credits||4G||R. Siegwart, M. Chli, N. Lawrance|
|151-1115-00L||Aircraft Aerodynamics and Flight Mechanics||W||4 credits||3G||J. Wildi|
|151-0116-10L||High Performance Computing for Science and Engineering (HPCSE) for Engineers II||W||4 credits||4G||P. Koumoutsakos, S. M. Martin|
|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.
|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, A. Wieser|
|227-0216-00L||Control Systems II||W||6 credits||4G||R. Smith|
|227-0224-00L||Stochastic Systems||W||4 credits||2V + 1U||F. Herzog|
|227-0690-11L||Advanced Topics in Control (Spring 2020)|
New topics are introduced every year.
|W||4 credits||2V + 2U||G. Banjac|
|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 is this regard. If necessary, please contact firstname.lastname@example.org
|W||8 credits||4V + 2U + 1A||A. Krause|
|252-0526-00L||Statistical Learning Theory||W||7 credits||3V + 2U + 1A||J. M. Buhmann, C. Cotrini Jimenez|
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