Elektrotechnik und Informationstechnologie Master |
Fächer der Vertiefung
Insgesamt 42 KP müssen im Masterstudium aus Vertiefungsfächern erreicht werden. Der individuelle Studienplan unterliegt der Zustimmung eines Tutors. |
Signal Processing and Machine Learning
Coming soon! |
Kernfächer |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
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227-0427-00L | Signal and Information Processing: Modeling, Filtering, Learning | W | 6 KP | 4G | |
227-0427-00 G | Signal and Information Processing: Modeling, Filtering, Learning | | | 4 Std. | | H.‑A. Loeliger |
227-0447-00L | Image Analysis and Computer Vision | W | 6 KP | 3V + 1U | |
227-0447-00 V | Image Analysis and Computer Vision | | | 3 Std. | | L. Van Gool,
O. Göksel,
E. Konukoglu |
227-0447-00 U | Image Analysis and Computer Vision | | | 1 Std. | | L. Van Gool,
O. Göksel,
E. Konukoglu |
252-0535-00L | Machine Learning | W | 8 KP | 3V + 2U + 2A | |
252-0535-00 V | Machine Learning
Vorlesung: Donnerstag im ML D 28 mit Videoübertragung im ML E 12 Freitag im HG F 1 mit Videoübertragung im HG F 3 | | | 3 Std. | | J. M. Buhmann |
252-0535-00 U | Machine Learning | | | 2 Std. | | J. M. Buhmann |
252-0535-00 A | Machine Learning
Project Work, no fixed presence required. | | | 2 Std. | | J. M. Buhmann |
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Empfohlene Fächer |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
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227-0101-00L | Discrete-Time and Statistical Signal Processing | W | 6 KP | 4G | |
227-0101-00 G | Discrete-Time and Statistical Signal Processing | | | 4 Std. | | H.‑A. Loeliger |
227-0116-00L | VLSI I: From Architectures to VLSI Circuits and FPGAs | W | 6 KP | 5G | |
227-0116-00 G | VLSI I: From Architectures to VLSI Circuits and FPGAs | | | 5 Std. | | F. K. Gürkaynak,
L. Benini |
227-0225-00L | Linear System Theory | W | 6 KP | 5G | |
227-0225-00 G | Linear System Theory | | | 5 Std. | | M. Kamgarpour |
227-0417-00L | Information Theory I | W | 6 KP | 4G | |
227-0417-00 G | Information Theory I | | | 4 Std. | | A. Lapidoth |
227-0477-00L | Acoustics I | W | 6 KP | 4G | |
227-0477-00 G | Acoustics I | | | 4 Std. | | K. Heutschi |
263-5210-00L | Probabilistic Artificial Intelligence | W | 4 KP | 2V + 1U | |
263-5210-00 V | Probabilistic Artificial Intelligence
Am 22. und 29. September findet die Vorlesung in HG E 7 statt!
On September 22 and 29., the lecture will take place in room HG E 7.
Ab dem 06. Oktober findet die Vorlesung im HG E 7 statt mit Videoübertragung im HG E 3. | | | 2 Std. | | A. Krause |
263-5210-00 U | Probabilistic Artificial Intelligence | | | 1 Std. | | A. Krause |
401-4619-67L | Advanced Topics in Computational Statistics | W | 4 KP | 2V | |
401-4619-00 V | Advanced Topics in Computational Statistics | | | 2 Std. | | N. Meinshausen |
401-3901-00L | Mathematical Optimization | W | 11 KP | 4V + 2U | |
401-3901-00 V | Mathematical Optimization | | | 4 Std. | | R. Weismantel |
401-3901-00 U | Mathematical Optimization | | | 2 Std. | | R. Weismantel |
401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 KP | 4V + 1U | |
401-3621-00 V | Fundamentals of Mathematical Statistics | | | 4 Std. | | S. van de Geer |
401-3621-00 U | Fundamentals of Mathematical Statistics | | | 1 Std. | | S. van de Geer |