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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

Compulsory courses (all 6EC)
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)
Two times 6EC from this list
SOW-BKI211 Computational and Formal Modelling (not available in 2020) SEM 1 (6EC)

SOW-BKI134
SOW-BKI136

Cognitive Psychology
+ Brain
PER 2 (3EC)
PER 3 (3EC)
SOW-BKI203 Bayesian Statistics SEM 2 (6EC)

Admission to Intelligent Technology

Compulsory courses (all 6EC)
SOW-BKI212A AI: Principles and Techniques SEM 1 (6EC)
SOW-BKI329 AI: Representation and Interaction SEM2 (6EC)
SOW-BKI115A Introduction Robotics SEM 2 (6EC)
Two courses from this list (all 6EC)
SOW-BKI323 Signal Processing SEM 1 (6EC)
SOW-BKI114 Human-Computer Interaction SEM 2 (6EC)
SOW-BKI230A Deep Learning SEM 2 (6EC)