| Artificial Intelligence [2021 SoSe] | ||
|---|---|---|
| Code IAI |
Name Artificial Intelligence |
|
| LP 6 LP |
Dauer one semester |
Angebotsturnus irregular |
| Format 2 SWS lecture, 2 SWS tutorial |
Arbeitsaufwand 180 h; thereof 60h lectures and tutorials 50h graded final report of mini project 70h lecture wrap-up, programming exercises and homework |
Verwendbarkeit B.Sc. Angewandte Informatik, M.Sc. Angewandte Informatik, M.Sc. Scientific Computing |
| Sprache |
Lehrende |
Prüfungsschema |
| Lernziele | To be able to develop algorithms for solving problems by informed/uninformed search. To know how to apply logical inference for finding solutions. To have a firm command of applying inference under uncertainty. To have gained a solid understanding of learning agents based on deep learning and neural networks. To know how to apply the developed expertise to different application areas such as Computer Vision or text mining. |
|
| Lerninhalte | Solving problems by search Game playing Inference using logic Knowledge bases Planning and acting Reasoning under uncertainty Deep Learning and Neural Networks Machine Learning Applications |
|
| Teilnahme- voraus- setzungen |
recommended are: basic programming skills and knowledge of basic calculus, statistics, and linear algebra | |
| Vergabe der LP und Modulendnote | Bestehen der Modulprüfung | |
| Nützliche Literatur | Russell & Norvig: Artificial Intelligence: A Modern Approach | |