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Course overview B2

B2 for cohort 2017 (academic year 2018-2019)

Course code Course name EC
SOW-BKI212A AI: search, planning and machine learning 6
SOW-BKI203 Bayesian Statistics 6
NWI-IBI008 Data Mining 6
SOW-BKI107 Frequentist Statistics 6
NWI-IBC015 Functional Programming for AI 3
SOW-PSB3BC20E Language in Progress 4
NWI-IPI004 Logic and Applications 6
SOW-BKI316 Mathematics 2 for AI 6
SOW-BKI230A Neural Networks 6
SOW-BKI329 Representation and Interaction 6
SOW-BKI244 TCS1: Foundations and implications 5
TOTAL 60
Period 1 Period 2 Period 3 Period 4
SOW-BKI316
Mathematics-2
(6ec)
SOW-BKI329
Representation and Interaction
(6ec)
SOW-BKI212A
ASPML
(6ec)
SOW-BKI230A
Neural Networks
(6ec)
SOW-BKI107
Frequentist Statistics
(6ec)
SOW-BKI203
Bayesian Statistics
(6ec)
NWI-IBC015
Functional Programming (3ec)
SOW-PSB3BC20E
Language in Progress
(4ec)
NWI-IPI004
Logic and Applications
(6ec)

NWI-IBI008
Data Mining (6ec)

SOW-BKI244
TCS-1 (5ec)

B2 for cohort 2018 (academic year 2019-2020)

Course code Course name EC
SOW-BKI212A AI: search, planning and machine learning 6
NWI-IPI004 Logic and Applications 6
SOW-BKI203 Bayesian Statistics 6
NWI-IBI008 Data Mining 6
SOW-BKI107 Frequentist Statistics 6
NWI-IBC015 Functional Programming 3
SOW-PSB3BC20E Language in Progress 4
SOW-BKI316 Mathematics 2 for AI 6
SOW-BKI230A Neural Networks 6
SOW-BKI329 Representation and Interaction 6
SOW-BKI244 TCS1: Foundations and implications 5
TOTAL 60