Search result: Courses in Autumn Semester 2020

Electrical Engineering and Information Technology Master Information
Master Studies (Programme Regulations 2008)
Major Courses
A total of 42 CP must be achieved during the Master Programme. The individual study plan is subject to the tutor's approval.
Signal Processing and Machine Learning
Core Subjects
NumberTitleTypeECTSHoursLecturers
227-0105-00LIntroduction to Estimation and Machine Learning Restricted registration - show details W6 credits4G
227-0105-00 GIntroduction to Estimation and Machine Learning Special students and auditors need a special permission from the lecturers.
The lecturers will communicate the exact lesson times of ONLINE courses.
4 hrs
Fri14:00-18:00ON LI NE »
H.‑A. Loeliger
227-0423-00LNeural Network Theory Information W4 credits2V + 1U
227-0423-00 VNeural Network Theory
«Hybrid».
Up to 150 students can attend the course on-site. Further information will be announced to enrolled students by e-mail in the week before the semester starts.

The first lecture is on 21.9.
2 hrs
Mon10:15-12:00ETF C 1 »
H. Bölcskei
227-0423-00 UNeural Network Theory
«Hybrid».
Up to 150 students can attend the course on-site. Further information will be announced to enrolled students by e-mail in the week before the semester starts.

The first lecture is on 21.9.
1 hrs
Mon12:15-13:00ETF C 1 »
H. Bölcskei
227-0427-00LSignal Analysis, Models, and Machine Learning
This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester).
W6 credits4G
227-0427-00 GSignal Analysis, Models, and Machine Learning
Does not take place this semester.
This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester)
4 hrsH.‑A. Loeliger
227-0447-00LImage Analysis and Computer Vision Information W6 credits3V + 1U
227-0447-00 VImage Analysis and Computer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Thu14:00-17:00ON LI NE »
L. Van Gool, E. Konukoglu, F. Yu
227-0447-00 UImage Analysis and Computer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
1 hrs
Thu17:00-18:00ON LI NE »
L. Van Gool, E. Konukoglu
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality.
3 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00ETA F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 hrs
Wed14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Thu16:15-18:00ML F 34 »
Fri14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann, C. Cotrini Jimenez
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