inf210 - Signal and Image Processing (Course overview)
| Department of Computing Science |
6 KP |
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| Module components |
Semester courses Wintersemester 2022/2023 |
Examination |
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Lecture
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2.01.210 - Signal- und Bildverarbeitung / Signals and Dynamical Systems
- Dr.-Ing. Sandra Hellmers
- Jan Hendrik Röhl
Tuesday: 14:15 - 15:45, weekly (from 18/10/22), VL, Location: A14 1-113
Wednesday: 14:15 - 15:45, weekly (from 19/10/22), Ü, Location: A14 1-113
Dates on Wednesday, 15.02.2023 14:15 - 15:45, Monday, 15.05.2023 14:00 - 16:00, Location: A01 0-008, V03 0-C002
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Exercises
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2.01.210 - Signal- und Bildverarbeitung / Signals and Dynamical Systems
- Dr.-Ing. Sandra Hellmers
- Jan Hendrik Röhl
Tuesday: 14:15 - 15:45, weekly (from 18/10/22), VL, Location: A14 1-113
Wednesday: 14:15 - 15:45, weekly (from 19/10/22), Ü, Location: A14 1-113
Dates on Wednesday, 15.02.2023 14:15 - 15:45, Monday, 15.05.2023 14:00 - 16:00, Location: A01 0-008, V03 0-C002
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Hinweise zum Modul |
| Prüfungszeiten |
At the end of the semester |
| Module examination |
Hands-on exercises and written or oral exam |
| Skills to be acquired in this module |
Professional competenceThe students: - Name the concepts of signal and image processing in technical systems
- Name the methods/algorithms of preprocessing, filtering, classification, interpretation and visualisation of signals and pictures
- Select algorithms appropriately
- Evaluate the effectiveness of algorithms
- Design algorithms and processing chains and evaluate their quality
Methodological competenceThe students: - Get used to specific subjects of signal and image processing
Social competenceThe students: - Present solutions for specific questions in signal and image processing
Self-competenceThe students: - Reflect their solutions by using methods learned in this course
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