Search result: Courses in Spring Semester 2021

Biomedical Engineering Master Information
Major Courses
Bioelectronics
Recommended Elective Courses
These courses are particularly recommended for the Bioelectronics track. Please consult your track adviser if you wish to select other subjects.
NumberTitleTypeECTSHoursLecturers
151-0172-00LMicrosystems II: Devices and Applications Information W6 credits3V + 3U
151-0172-00 VMicrosystems II: Devices and Applications
Due to the current situation, the course will be held online in Zoom until further notice.
3 hrs
Thu13:15-16:00ML E 12 »
C. Hierold, C. I. Roman
151-0172-00 UMicrosystems II: Devices and Applications
The course starts in the second week of the Semester. Due to the current situation, the course will be held online in Zoom until further notice.
3 hrs
Mon15:15-18:00ML F 39 »
C. I. Roman
151-0622-00LMeasuring on the Nanometer ScaleW2 credits2G
151-0622-00 GMeasuring on the Nanometer Scale2 hrs
Thu10:15-12:00ML F 34 »
A. Stemmer
151-0630-00LNanorobotics Information W4 credits2V + 1U
151-0630-00 VNanorobotics2 hrs
Tue10:15-12:00HG E 1.1 »
S. Pané Vidal
151-0630-00 UNanorobotics1 hrs
Thu16:15-17:00HG E 1.1 »
S. Pané Vidal
151-0980-00LBiofluiddynamicsW4 credits2V + 1U
151-0980-00 VBiofluiddynamics2 hrs
Fri10:15-12:00HG E 1.2 »
D. Obrist, P. Jenny
151-0980-00 UBiofluiddynamics1 hrs
Fri12:15-13:00HG E 1.2 »
D. Obrist
227-1046-00LComputer Simulations of Sensory Systems Information W3 credits3G
227-1046-00 GComputer Simulations of Sensory Systems
Vorlesungen und Übungen werden zu einem Block zusammengefasst. Diese Lehrveranstaltung beinhaltet nach Möglichkeit auch externe Laborbesuche an Instituten. welche Forschung in den entsprechenden Bereichen durchführen.

The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Mon13:00-16:00ON LI NE »
T. Haslwanter
227-0125-00LOptics and PhotonicsW6 credits2V + 2U
227-0125-00 VOptics and Photonics2 hrs
Tue10:15-12:00ETZ E 6 »
J. Leuthold
227-0125-00 UOptics and Photonics2 hrs
Tue08:15-10:00ETZ E 6 »
J. Leuthold
227-0395-00LNeural SystemsW6 credits2V + 1U + 1A
227-0395-00 VNeural Systems2 hrs
Mon09:15-11:00ML D 28 »
R. Hahnloser, M. F. Yanik, B. Grewe
227-0395-00 UNeural Systems1 hrs
Mon11:15-12:00ETZ F 91 »
11:15-12:00LFV E 41 »
11:15-12:00ML D 28 »
R. Hahnloser, M. F. Yanik, B. Grewe
227-0395-00 ANeural Systems1 hrsR. Hahnloser, M. F. Yanik, B. Grewe
227-0390-00LElements of MicroscopyW4 credits3G
227-0390-00 GElements of Microscopy3 hrs
Mon08:50-11:30HIL D 10.2 »
M. Stampanoni, G. Csúcs, A. Sologubenko
227-0622-00LThermal Modeling: From Semiconductor to Medical Devices and Personalized Therapy PlanningW4 credits2V + 1U
227-0622-00 VThermal Modeling: From Semiconductor to Medical Devices and Personalized Therapy Planning2 hrs
Wed09:15-11:00ETZ J 91 »
E. Neufeld, M. Luisier
227-0622-00 UThermal Modeling: From Semiconductor to Medical Devices and Personalized Therapy Planning1 hrs
Wed11:15-12:00ETZ J 91 »
E. Neufeld, M. Luisier
227-0669-00LChemistry of Devices and Technologies Restricted registration - show details
Limited to 30 participants.
W4 credits1V + 2U
227-0669-00 VChemistry of Devices and Technologies
Permission from lecturers required for all students.
1 hrs
Wed09:15-10:00ETZ K 91 »
M. Yarema
227-0669-00 UChemistry of Devices and Technologies
Permission from lecturers required for all students.
2 hrs
Wed10:15-12:00ETZ K 91 »
M. Yarema
227-0690-11LLarge-Scale Convex OptimizationW4 credits2V + 2U
227-0690-11 VLarge-Scale Convex Optimization2 hrs
Tue16:15-18:00HG F 1 »
G. Banjac
227-0690-11 ULarge-Scale Convex Optimization2 hrs
Fri10:15-12:00CAB G 61 »
G. Banjac
227-0690-12LAdvanced Topics in Control (Spring 2021)
New topics are introduced every year.
W4 credits2V + 2U
227-0690-12 VAdvanced Topics in Control (Spring 2021)2 hrs
Mon16:15-18:00HG D 1.1 »
F. Dörfler, M. Hudoba de Badyn, W. Mei
227-0690-12 UAdvanced Topics in Control (Spring 2021)2 hrs
Fri10:15-12:00ML H 44 »
F. Dörfler, M. Hudoba de Badyn, W. Mei
227-0966-00LQuantitative Big Imaging: From Images to StatisticsW4 credits2V + 1U
227-0966-00 VQuantitative Big Imaging: From Images to Statistics2 hrs
Thu09:15-11:00LFW C 4 »
P. A. Kaestner, M. Stampanoni
227-0966-00 UQuantitative Big Imaging: From Images to Statistics1 hrs
Thu11:15-12:00LFW C 4 »
P. A. Kaestner, M. Stampanoni
227-0973-00LTranslational NeuromodelingW8 credits3V + 2U + 1A
227-0973-00 VTranslational Neuromodeling3 hrs
Tue09:15-12:00HG G 26.1 »
K. Stephan
227-0973-00 UTranslational Neuromodeling2 hrs
Fri14:15-16:00ETZ E 6 »
K. Stephan
227-0973-00 ATranslational Neuromodeling
No presence required.
Creative work on a self-chosen project outside the regular weekly exercises.
1 hrsK. Stephan
227-0976-00LComputational Psychiatry & Computational Psychosomatics Restricted registration - show details
Number of participants limited to 24.

Information for UZH students:
Enrolment to this course unit only possible at ETH Zurich.
No enrolment to module BMT20002.

Please mind the ETH enrolment deadlines for UZH students: Link
W2 credits4S
227-0976-00 SComputational Psychiatry & Computational Psychosomatics
Permission from lecturers required for all students.
**together with University of Zurich**

Room: SOF-E-7 (UZH): SOF-E-7 Schönberggasse 1 8001 Zurich
Link
60s hrs
17.03.16:15-18:00UNI ZH .
14.04.16:15-18:00UNI ZH .
28.04.16:15-18:00UNI ZH .
05.05.16:15-18:00UNI ZH .
19.05.16:15-18:00UNI ZH .
K. Stephan
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
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
W8 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt
4 hrs
Tue14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
Wed14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
A. Krause, F. Yang
252-0220-00 UIntroduction to Machine Learning
Q&A session Wed 16-17
2 hrs
Fri14:15-16:00ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause, F. Yang
327-2225-00LMaP Distinguished Lecture Series on Soft Robotics
This course is primarily designed for MSc and doctoral students. Guests are welcome.
W1 credit2S
327-2225-00 SMaP Distinguished Lecture Series on Soft Robotics
This course is taught by a selection of internationally renowned speaker from academia and industry working on the field of Soft Robotics.
It takes place every second year.
2 hrs
Tue16:15-18:00HG E 1.1 »
R. Katzschmann, L. Schefer
376-1217-00LRehabilitation Engineering I: Motor FunctionsW4 credits2V + 1U
376-1217-00 VRehabilitation Engineering I: Motor Functions2 hrs
Tue08:15-10:00HG E 1.2 »
S. Raspopovic, M. Xiloyannis
376-1217-00 URehabilitation Engineering I: Motor Functions1 hrs
Fri08:15-09:00HG E 1.1 »
S. Raspopovic, M. Xiloyannis
376-1308-00LDevelopment Strategies for Medical Implants Restricted registration - show details
Number of participants limited to 25 - 30.
Assignments will be considered in chronological order.
W3 credits2V + 1U
376-1308-00 VDevelopment Strategies for Medical Implants
Permission from lecturers required for all students.
2 hrs
Thu10:15-12:00HG E 33.1 »
J. Mayer-Spetzler
376-1308-00 UDevelopment Strategies for Medical Implants
Permission from lecturers required for all students.
1 hrs
Thu13:15-14:00ML H 41.1 »
J. Mayer-Spetzler
376-1397-00LOrthopaedic Biomechanics Information Restricted registration - show details
Number of participants limited to 48.
W3 credits2G
376-1397-00 GOrthopaedic Biomechanics2 hrs
Mon15:45-17:30HCP E 47.3 »
R. Müller, J. Schwiedrzik
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