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Wintersemester 2022/23
Our courses in Winter Term 2022/ 23!
Fundamentals of Digital Wireless Network and Communications (VL)
- by Prof. Dr.-Ing. Slawomir Stanczak [2]
- part of the module Modern Wireless Communications
- 2 SWS, 6 Credit Points for both parts
Mathematical Introduction to Machine Learning (VL)
- by Dr. rer. nat. Igor Bjelakovic [3]
- part of the modules Mathematics of Machine Learning & Modern Signal Processing and Communications
- 2 SWS, 6Credit Points for both parts
Master Project Network Information Systems, by Dr.-Ing. Julius Schulz-Zander
- 2-3 online meetings
- maximum capacity of students is 10 (please contact the secretariat HFT 6-1)
- more details can be found here [4]
The module descriptions can be found in MOSES:
- Modern Wireless Communications [5]
- Mathematics of Machine Learning [6]
- Modern Signal Processing for Communications [7]
- Master Project Network Information Systems [8]
Summersemester 2022
Theory and Algorithms of Machine Learning for Communication, Prof. Dr.-Ing. Slawomir Stanczak [9]
- 18.04.2022 - 18.07.2022
- every Monday from 14:15-15:45 pm
- HFT TA 131
- Enrollment in ISIS for 'TAML-SS2022' [10]
Modern Signal Processing for Communications, Dr. Renato L.G. Cavalcante [11]
- 19.04.2022 - 19.07.2022
- every Tuesday from 14:15-15:45 pm
- online with the web conference tool
- Enrollment in ISIS for 'MSPC-SS2022' [12]
Selected Topics in Wireless Communications and Networking, Dr. Zoran Utkovski
- 22.04.2021 - 22.07.2022
- every Friday from 14:15-15:45pm
- HFT TA 131
- Enrollment in ISIS for 'STWCN-SS2021' [13]
Master Project Network Information Systems, Dr.-Ing. Julius Schulz-Zander
- 21.04.2022 - 21.07.2022
- 2-3 online meetings
- maximum capacity of students is 10 (please contact the secretariat HFT 6-1)
- more details can be found here [14]
You can find the module descriptions in MOSES:
- Modern Wireless Communications [15]
- Mathematics of Machine Learning [16]
- Modern Signal Processing for Communications [17]
- Master Project Network Information Systems [18]
This site uses Matomo [19] for anonymized web analytics. More information and opt-out options under data protection.
Postal address
Technische Universität BerlinNetwork and Information Theory NetIT
IV
HFT 6-1, room 412
Einsteinufer 25
10587 Berlin
Head of Chair
Prof. Dr.-Ing. Slawomir StanczakHFT 400a
Einsteinufer 25
10587 Berlin
Tel.: +49(0)30 314-28465
Fax: +49(0)30 314-28320
Contact [20]
Prof. Dr.-Ing. Slawomir Stanczak [21]
Secretariat
Kerstin ReinhardtHFT 6-1
Einsteinufer 25
10587 Berlin
Tel.:+ 4930 31002 702
Contact [22]
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