Practical Course Biosignal Processing and Modeling
Dates
- 26.04.2019 11:30-14:00 , Kick-off Meeting
- 26.04.2019 14:00-16:30 , Kick-off Meeting
- 03.05.2019 11:30-14:00 , Group1
- 03.05.2019 14:00-16:30 , MSNE Students only
- 10.05.2019 11:30-14:00 , Group1
- 10.05.2019 14:00-16:30 , MSNE Students only
- 17.05.2019 11:30-14:00 , Group1
- 17.05.2019 14:00-16:30 , MSNE Students only
- 24.05.2019 11:30-14:45 , Group1
- 24.05.2019 15:00-18:15 , MSNE Students only
- 31.05.2019 11:30-14:45 , Group1
- 31.05.2019 15:00-18:15 , MSNE Students only
- 07.06.2019 11:30-14:45 , Group1
- 07.06.2019 15:00-18:15 , MSNE Students only
- 14.06.2019 11:30-14:45 , Group1
- 14.06.2019 15:00-18:15 , MSNE Students only
- 21.06.2019 11:30-14:45 , Group1
- 21.06.2019 15:00-18:15 , MSNE Students only
- 28.06.2019 11:30-14:00 , Group1
- 28.06.2019 14:00-16:30 , MSNE Students only
- 05.07.2019 11:30-14:00 , Group1
- 05.07.2019 14:00-16:30 , MSNE Students only
- 12.07.2019 11:30-14:00 , Group1
- 12.07.2019 14:00-16:30 , MSNE Students only
- 19.07.2019 11:30-14:00 , Group1
- 19.07.2019 14:00-16:30 , MSNE Students only
- 26.07.2019 11:30-14:00 , Group1
- 26.07.2019 14:00-16:30 , MSNE Students only
Admission information
Description
Theoretical lectures and hands-on practical tutorials on state of the art sensor systems, methods in experiment design, offline and online signal processing and pattern recognition/Machine learning
Prerequisites
Programming skills in C/C++ are recommended, background in MATLAB, basic knowledge in statistical signal processing and machine learning
Examination
schriftlicher Bericht und mündlich
Links
