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A group consists of courses that have the same role in a study plan. A group thus facilitates the requirement on credits to be acquired in a prescribed structure for a study plan. Hence, a student just cannot accumulate the required amount of credits required by the study plan; s/he must meet the requirements of each group of courses of a given study plan.
       Each student has to complete either at least a prescribed minimum (amount of) credits or to successfully complete a prescribed minimum (amount of) courses for a given group.
If a group has defined a minimum amount of credits = total amount of credits that can be obtained from the group, the student must successfully complete all the courses of the group. Such a group of courses has its role marked as 'compulsory'. If a group has defined a minimum amount of credits < total amount of credits obtainable from the group, such a situation is referred to as a group with an obligation to choose and complete at least the minimally set amount of credits. Similarly for courses.
If a group has defined a minimum amount of credits = 0 and a minimum number of courses = 0 at the same time, then the courses in the given group are elective.
Ifa a group has defined a minimum amount of credits < maximum amount of credits < total amount of credits obtainable from the group, then credits earned earned above the minimum amount of credits are seen as elective and credits above the maximum amount of credits from a given group do not count.
For ease of reference, each group has a role of the courses in the given study plan assigned next to its name.
The list is sorted alphabetically by the Department code and Course title.
Group: Purely Elective Master Courses, Version 2021
Min. credits: 0   Credits total: 0   Min. courses: 0 Role: V - elective courses
Course Course title Extend of
teaching
Comple-
tion
Seme-
ster
Recomm.
sem.
Cre-
dits
Instruc-
tor
Cat.
NIE-ROZ Pattern Recognition 2P+1C Z,ZK Z 1 5 Haindl M. 18101
NIE-VPR Research Project Z Z,L 5 18000
BIE-CCN Compiler Construction 3P Z,ZK L 5 18101
NIE-CPX Complexity Theory 3P+1C Z,ZK Z 5 Knop D., Suchý O. 18101
NIE-EVY Efficient Text Pattern Matching 2P+1C Z,ZK Z 5 Holub J. 18101
NIE-DVG Introduction to Discrete and Computational Geometry 2P+1C Z,ZK L 5 18101
NIE-PAM Parameterized Algorithms 2P+1C Z,ZK L 4 Suchý O. 18101
NIE-SYP Parsing and Compilers 2P+1C Z,ZK Z 5 Janoušek J. 18101
NI-DSW Design Sprint 30B Z Z 2 18102
NI-DID Digital drawing 4C Z Z,L 2 18102
NIE-AM2 Middleware Architectures 2 2P+1C Z,ZK L 5 18102
NIE-SWE Semantic Web and Knowledge Graphs 2P+1C Z,ZK Z 5 Dojčinovski M. 18102
NIE-DDW Web Data Mining 2P+1C Z,ZK L 5 18102
NIE-SCE2 Computer Engineering Seminar Master II 2C Z L 4 18103
MI-SCE1 Computer Engineering Seminar Master I 2C Z L,Z 4 18103
NIE-SCE1 Computer Engineering Seminar Master I 2C Z Z 4 Kubátová H. 18103
NIE-HSC Side-Channel Analysis in Hardware 2P+2C Z,ZK Z 4 Miškovský V., Socha P. 18103
NI-GRI Grid Computing 2P+1C Z,ZK Z 5 Sopczak A. 18104
NIE-BPS Wireless Computer Networks 2P+1C Z,ZK L 4 18104
NI-AML Advanced machine learning 2P + 1C Z,ZK L 5 18105
NIE-VYC Computability 2P+2C Z,ZK L 4 18105
NIE-MVI Computational Intelligence Methods 2P+1C Z,ZK Z 5 Čepek M., Kordík P. 18105
NI-GLR Games and reinforcement learning 2P+2C Z,ZK L 4 18105
NIE-HMI History of Mathematics and Informatics 2P+1C Z,ZK Z 3 Šolcová A. 18105
NIE-PML Personalized Machine Learning 2P+1C Z,ZK Z 5 Da Silva Alves R. 18105
NIE-PDL Practical Deep Learning 2P+1C KZ Z 5 Babakhin Y., Barus M. 18105
NIE-BLO Blockchain 1P+2C Z,ZK Z 5 Bielik M., Gattermayer J., Lórencz R., Růžička J. 18106
MIE-MZI Mathematics for data science 2P+1C Z,ZK L 2 4 18105
MIE-SEP World Economy and Business 2P+1C Z,ZK Z 3 4 Evan T. 18102
NIE-ARI Computer arithmetic 2P+1C Z,ZK Z,L 3 4 Kubalík P. 18103


Page updated 12. 10. 2024, semester: L/2019-20, L/2022-3, L/2020-1, Z/2023-4, Z/2019-20, Z/2021-2, Z/2020-1, Z/2024-5, L/2021-2, Z/2022-3, L/2023-4, Send comments to the content presented here toAdministrator of study plans Design and implementation: J. Novák, I. Halaška