Group of Subjects - 2018_MBIOEPPV2 - Compulsory elective subjects of the programme

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Group: Compulsory elective subjects of the programme
Min. credits: 24   Max. credits: 24   Min. subjects: 4 Role: PV - elective courses from a compulsory group of courses
Subject Name Extent
of teaching
Language
of teaching
Completion
Semester
Rec.
sem.
Cred.
Guarantors Teachers Dept.
BE4M33PAL Advanced Algorithms 2P+2C EN Z,ZK Z 1 6 Průša D.   13133
BE4M33SSU Statistical Machine Learning 2P+2C EN Z,ZK Z 1 6 Flach B.   13133
BEAM02BIO Biosensors 2P+2L EN Z,ZK Z   6 Rezek B.   13102
BEAM17EMC Introduction to Electromagnetic Compatibility 2P+2L EN Z,ZK Z   6 Kořínek T.   13117
BEAM31AOL Applied optoelectronics in medicine 2P+2C EN Z,ZK L   6     13131
BEAM33NIN Neuroinformatics 2P+2C EN Z,ZK L   6 Novák D.   13133
BE2M31DSPA Digital Signal Processing 2P+2C EN Z,ZK Z 2 6 Pollák P.   13131
BE4M33MPV Computer Vision Methods 2P+2C EN Z,ZK L 2 6 Matas J.   13133
BE4M35KO Combinatorial Optimization 3P+2C EN Z,ZK L 2 6     13135
BEAM36BIN Bioinformatics 2P+2C EN Z,ZK L 2 6 Kléma J.   13136
BE4M36MBG Molecular Biology and Genetics 3P+1C EN Z,ZK L 2 6 Pospíšek M.   13136
BE4M36SMU Symbolic Machine Learning 2P+2C EN Z,ZK L 2 6 Kuželka O.   13136
BEAM31ADA Adaptive signal processing 2P+2C EN Z,ZK Z 3 6 Bortel R.   13131
BEAM31MOA Modeling and analysis of brain activity 2P+2C EN Z,ZK Z 3 6 Hlinka J.   13131
BEAM33ZMO Medical Image Processing 2P+2C EN Z,ZK Z 3 6 Kybic J.   13133


Page updated 18.4.2024 14:51:52, semester: Z,L/2023-4, Z/2024-5, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)