Deficiency Programme (CS at Radboud)
Programme for CS Radboud students of Data Science / Software Science to the AI Master
Interested students can follow these courses partially as part of the 18 EC minor Artificial Intelligence and partially as part of their free electives (remaining 12 EC).
Admission to Cognitive Computing
| SOW-BKI212A | AI: Principles and Techniques | SEM 1 (6EC) |
| SOW-BKI329 | AI: Representation and Interaction | SEM 2 (6EC) |
| SOW-BKI230A | Deep Learning | SEM 2 (6EC) |
| SOW-BKI211 | Computational and Formal Modelling (not available in 2020) | SEM 1 (6EC) |
|
SOW-BKI134 |
Cognitive Psychology + Brain |
PER 2 (3EC) PER 3 (3EC) |
| SOW-BKI203 | Bayesian Statistics | SEM 2 (6EC) |
Admission to Intelligent Technology
| SOW-BKI212A | AI: Principles and Techniques | SEM 1 (6EC) |
| SOW-BKI329 | AI: Representation and Interaction | SEM2 (6EC) |
| SOW-BKI115A | Introduction Robotics | SEM 2 (6EC) |
| SOW-BKI323 | Signal Processing | SEM 1 (6EC) |
| SOW-BKI114 | Human-Computer Interaction | SEM 2 (6EC) |
| SOW-BKI230A | Deep Learning | SEM 2 (6EC) |