Search result: Courses in Autumn Semester 2021

Data Science Master Information
Seminar
NumberTitleTypeECTSHoursLecturers
252-5051-00LAdvanced Topics in Machine Learning Information Restricted registration - show details
Number of participants limited to 40.

The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2S
252-5051-00 SAdvanced Topics in Machine Learning Special students and auditors need a special permission from the lecturers.2 hrs
Tue16:15-18:00CAB G 56 »
Thu16:15-18:00CAB G 57 »
J. M. Buhmann, R. Cotterell, J. Vogt, F. Yang
263-3504-00LHardware Acceleration for Data Processing Information Restricted registration - show details
Number of participants limited to 24.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2S
263-3504-00 SHardware Acceleration for Data Processing
Online seminar: This seminar will take place online. Reserved rooms will remain blocked on campus for students to follow the course from there.
2 hrs
Tue14:15-16:00ML J 34.1 »
G. Alonso
263-5156-00LBeyond iid Learning: Causality, Dynamics, and Interactions Information Restricted registration - show details
Number of participants limited to 60.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2S
263-5156-00 SBeyond iid Learning: Causality, Dynamics, and Interactions
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Wed16:00-18:00ON LI NE »
M. Mühlebach, A. Krause, B. Schölkopf
401-5680-00LFoundations of Data Science Seminar Information E-0 credits
401-5680-00 KFoundations of Data Science Seminar
https://www.math.ethz.ch/sfs/news-and-events/data-science-seminar.html
Time: 16:15-17:15
3s hrs
23.09.16:15-18:00HG F 3 »
11.11.15:15-18:00HG F 3 »
16:15-18:00HG G 19.2 »
02.12.16:15-18:00HG G 19.1 »
P. L. Bühlmann, A. Bandeira, H. Bölcskei, F. Yang
401-3620-20LStudent Seminar in Statistics: Inference in Some Non-Standard Regression Problems Restricted registration - show details
Number of participants limited to 24.
Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science.
W4 credits2S
401-3620-00 SStudent Seminar in Statistics: Inference in Some Non-Standard Regression Problems
Remark: former title in FS 2020: Student Seminar in Statistics: Inference in Non-Classical Regression Models
2 hrs
Mon16:15-18:00HG E 21 »
F. Balabdaoui
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