| Detailinformationen |
| Quellcurriculum |
Bachelorstudium Artificial Intelligence 2025W |
| Lernergebnisse |
Kompetenzen |
| (*)See correspondent lecture.
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|
| Fertigkeiten |
Kenntnisse |
| (*)See correspondent lecture.
|
(*)See correspondent lecture.
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|
| Beurteilungskriterien |
(*)Homework to be uploaded and evaluated.
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| Lehrmethoden |
(*)- Demonstration of examples
- Matlab examples
- Homework
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)- Lecture Slides
- Alan V. Oppenheim, Ronald W. Schafer, Discrete-Time Signal Processing: Pearson New International Edition, Pearson Education Limited 2014.
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| Lehrinhalte wechselnd? |
Nein |
| Sonstige Informationen |
(*)This exercise course and the corresponding lecture form an inseparable didactic unit. The presented learning outcomes are achieved through the interaction of the lecture and the exercise course.
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| Äquivalenzen |
(*)521HARDDSVU13: UE Digitale Signalverarbeitung (1,5 ECTS)
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