Group of Subjects - 2025_MPRGAIP - Compulsory subjects of the programm

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Group: Compulsory subjects of the programm
Min. credits: 54   Max. credits: 54   Min. subjects: 9 Role: P - compulsory courses for the programme
Subject Name Extent
of teaching		 Language
of teaching		 Completion
 Semester
 Rec.
sem.		 Cred.
 Guarantors Teachers Dept.
BECM33DPL Deep Learning Essentials 2P+2C EN Z,ZK Z 1 6 Zimmermann K.   13133
BECM33MLE Machine Learning Engineering 2P+2C EN KZ Z 1 6 Faigl J.   13133
BECM33MLF Machine Learning Fundamentals 2P+2C EN Z,ZK L,Z 1 6 Franc V.   13133
BECM36AIC AI for Cybersecurity 2P+2C EN Z,ZK Z 1 6 Pevný T.   13136
BE4M33MPV Computer Vision Methods 2P+2C EN Z,ZK L 2 6 Matas J.   13133
BECM36AIS AI and Society 1P+1C EN ZK Z 2 6 Střítecký V.   13136
BECM36MLM Machine Learning Methods 2P+2C EN Z,ZK L 2 6 Železný F.   13136
BECM36NLPT Natural Language Processing and Translation 2P+2C EN Z,ZK L 2 6 Bojar O.   13136
BECM36STAI Selected Topics in AI 2P+2C EN KZ L 2 6 Kroupa T.   13136

Page updated 14.5.2026 15:52:19, semester: Z/2025-6, Z/2026-7, L/2027-8, L/2025-6, L/2026-7, Z/2027-8, L/2029-30, Z,L/2028-9, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)
Responsible person: prof. Ing. Jiří Jakovenko, Ph.D.