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A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The list presented here is sorted by departments, within departments alphabetically by the Course title. The departments are listed alphabetically by the Department code.

Courses


18105 Department of Applied Mathematics
Course code Course title Extent of teaching
Completion
Semester
Credits
Guarantor Instructors
QNI-AVM Adiabatic computing and variational methods 2P+2C Z,ZK * 6 Mareček J. Mareček J.
NI-AML Advanced machine learning 2P + 1C Z,ZK L 5 Čepek M. Buk Z., Da Silva Alves R., Čepek M., Šimánek P., Rybář V.
BI-ALO Algebra and Logic 2P+1C Z,ZK L 4 Starý J. Starý J.
BIE-ZUM.21 Artificial Intelligence Fundamentals 2P+2C Z,ZK L 5 Surynek P. Surynek P.
BIK-ZUM.21 Artificial Intelligence Fundamentals 14KP+4KC Z,ZK L 5
BI-ZUM.21 Artificial Intelligence Fundamentals 2P+2C Z,ZK L 5 Surynek P. Surynek P.
DD-ZUM Artificial Intelligence Fundamentals 2P+2C Z,ZK L 5 Surynek P. Surynek P.
NI-UMI Artificial intelligence 2P+1C Z,ZK Z 5 Surynek P. Surynek P.
NI-BML Bayesian Methods for Machine Learning 2P+1C KZ L 5 Dedecius K. Dedecius K., Tichý O.
NI-TKA Category Theory 2P+1C Z,ZK L 4 Starý J. Starý J.
NIE-VYC Computability 2P+2C Z,ZK L 4 Starý J. Starý J.
NI-VYC Computability 2P+2C Z,ZK L 4 Starý J. Starý J.
NIE-MVI Computational Intelligence Methods 2P+1C Z,ZK Z 5 Kordík P. Čepek M., Kordík P.
NI-MVI Computational Intelligence Methods 2P+1C Z,ZK Z 5 Kordík P. Kordík P.
NI-ADM Data Mining Algorithms 2P+1C Z,ZK L 5 Kordík P. Da Silva Alves R., Kordík P., Vašata D.
NIE-ADM Data Mining Algorithms 2P+1C Z,ZK L 5 Kordík P. Da Silva Alves R.
NI-PDD Data Preprocessing 2P+1C Z,ZK Z 5 Jiřina M. Jiřina M.
BI-VIZ.21 Data Visualization 3P KZ Z 5 Friedjungová M. Friedjungová M.
BIE-DIF Differential equations 2P+2C Z,ZK L 5 Bouchala O. Bouchala O., Marchesiello A., Valdman J.
BI-DML.21 Discrete Mathematics and Logic 2P+1R+1C Z,ZK Z 5 Spěvák J. Dombek D., Scholtzová J., Spěvák J.
BIE-DML.21 Discrete Mathematics and Logic 2P+1R+1C Z,ZK Z 5 Pernecká E. Pernecká E., Rybníčková J.
BIK-DML.21 Discrete Mathematics and Logic 14KP+4KC Z,ZK Z 5 Pernecká E. Pernecká E.
NI-DDM Distributed Data Mining 3C KZ L 4
NI-EDW Enterprise Data Warehouse Systems 1P+1C Z,ZK L 5 Friedjungová M. Kotlář R., Krejčí J.
NI-GLR Games and reinforcement learning 2P+2C Z,ZK L 4
NI-GNN Graph Neural Networks 1P+1C Z,ZK L 4 Čepek M. Čepek M.
BI-HMI History of Mathematics and Informatics 2P+1C Z,ZK L 3 Šolcová A. Šolcová A.
BIK-HMI History of Mathematics and Informatics 13KP+2KC ZK L 3 Šolcová A. Šolcová A.
NIE-HMI History of Mathematics and Informatics 2P+1C Z,ZK Z 3 Šolcová A. Šolcová A.
NI-HMI2 History of Mathematics and Informatics 2P+1C ZK Z 3 Šolcová A. Šolcová A.
QNI-TIN Information Theory 2P+2C Z,ZK L 6 Hrabák P. Hrabák P.
NI-IKM Internet and Classification Methods 1P+1C Z,ZK L 4 Holeňa M. Holeňa M.
BIE-IMA2 Introduction to Mathematics 2 1C Z Z 2
BIK-PKM Introduction to Mathematics Z Z 4 Kalvoda T.
BI-PKM Introduction to mathematics Z Z 4 Kalvoda T. Kalvoda T.
QNI-UKT Introduction to Quantum Theory 2P+2C Z,ZK Z 6 Štefaňák M. Štefaňák M.
NI-SZ2 Knowledge Engineering Seminar Master II 2C Z L,Z 4 Friedjungová M.
NI-SZ1 Knowledge Engineering Seminar Master I 2C Z L,Z 4 Friedjungová M.
BI-ZNS.21 Knowledge-based Systems 2P+2C Z,ZK Z 5 Jiřina M. Jiřina M.
BIE-LA1.21 Linear Algebra 1 2P+1R+1C Z,ZK Z 5 Forough M. Forough M.
BIK-LA1.21 Linear Algebra 1 14KP+4KC Z,ZK Z 5 Klouda K. Klouda K.
BI-LA1.21 Linear Algebra 1 2P+1R+1C Z,ZK Z 5 Klouda K. Kleprlík L., Klouda K., Krásenský J.
BIE-LA2.21 Linear Algebra 2 2P+2C Z,ZK L 5 Klouda K. Forough M., Klouda K.
BI-LA2.21 Linear Algebra 2 2P+2C Z,ZK L 5 Klouda K. Šístek J., Kleprlík L., Klouda K.
NI-MLP Machine Learning in Practice 2P+1C Z,ZK Z 5 Vašata D. Hučín J.
BIE-ML1.21 Machine Learning 1 2P+2C Z,ZK Z 5 Vašata D. Da Silva Alves R., Kovalenko A., Vašata D.
BI-ML1.21 Machine Learning 1 2P+2C Z,ZK Z 5 Vašata D. Klouda K., Vašata D.
BIE-ML2.21 Machine Learning 2 2P+2C Z,ZK L 5
BI-ML2.21 Machine Learning 2 2P+2C Z,ZK L 5 Vašata D. Vašata D.
BI-SVZ.21 Machine vision and image processing 2P+2C Z,ZK L,Z 5 Jiřina M. Jiřina M., Kramný D., Novák J.
BIE-MA1.21 Mathematical Analysis 1 2P+1R+1C Z,ZK L 5 Kalvoda T. Marchesiello A.
BIK-MA1.21 Mathematical Analysis 1 14KP+4KC Z,ZK L 5 Petr I. Olšák P.
BI-MA1.21 Mathematical Analysis 1 2P+1R+1C Z,ZK L 5 Kalvoda T. Kalvoda T., Paták P.
BIE-MA2.21 Mathematical Analysis 2 3P+2C Z,ZK Z 6 Marchesiello A. Marchesiello A.
BIK-MA2.21 Mathematical Analysis 2 21KP+4KC Z,ZK Z 6 Kalvoda T. Olšák P.
BI-MA2.21 Mathematical Analysis 2 3P+2C Z,ZK Z 6 Kalvoda T. Kalvoda T., Petr I.
BIE-LOG.21 Mathematical Logic 2P+2C Z,ZK Z 5 Trlifajová K. Trlifajová K.
BI-LOG.21 Mathematical Logic 2P+2C Z,ZK Z 5 Trlifajová K. Trlifajová K.
NI-MSI Mathematical Structures in Computer Science 2P+1C Z,ZK L 4
NI-MZI Mathematics for data science 2P+1C Z,ZK L 4
NIE-MPI Mathematics for Informatics 3P+2C Z,ZK Z 7 Starosta Š. Dolce F.
NI-MPI Mathematics for Informatics 3P+2C Z,ZK Z 7 Starosta Š. Spěvák J., Starosta Š.
QNI-MQI Mathematics for Quantum Informatics 2P+2C Z,ZK Z 6 Starosta Š. Starosta Š.
UNI-MTUI Modern technology and artificial intelligence 2P+2C Z,ZK L 5
NI-NLM Neural Language Models 2P+1C Z L 5
QNI-NMK Numerical methods for quantum computation 2P+2C Z,ZK Z 5 Beneš M. Beneš M.
QNI-OQC Optical quantum computing 2P+1C Z,ZK 5 Gábris A. Gábris A.
QNI-OVV Optimization for Scientific Computing 2P+1C Z,ZK 5 Valášek M. Valášek M.
NIE-PML Personalized Machine Learning 2P+1C Z,ZK Z 5 Da Silva Alves R. Da Silva Alves R.
NIE-PDL Practical Deep Learning 2P+1C KZ Z 5 Klouda K. Babakhin Y., Barus M.
BI-PRS.21 Practical Statistics 1P+2C KZ L 5 Novák P. Dedecius K., Novák P.
BIE-PKM Preparatory Mathematics Z Z 4 Kalvoda T.
BIE-PST.21 Probability and Statistics 2P+2C Z,ZK Z 5 Dolce F. Dolce F.
BIK-PST.21 Probability and Statistics 14KP+4KC Z,ZK Z 5 Hrabák P. Vašata D.
BI-PST.21 Probability and Statistics 2P+2C Z,ZK Z 5 Hrabák P. Novák P.
BI-JUL.21 Programming in Julia 3C KZ Z 5 Kalvoda T. Kalvoda T.
BI-QAP Quantum algorithms and programming 1P+2C KZ Z 5 Petr I. Kalvoda T., Petr I.
QNI-QC1 Quantum Computation 1 2P+2C Z,ZK Z 6 Jiřina M. Jiřina M., Petr I.
QNI-QC2 Quantum Computing 2 2P+2C Z,ZK L 6 Gábris A. Gábris A.
QNI-QEC Quantum error correction 2P+2C Z,ZK Z 5 Potoček V. Potoček V., Rytíř P.
QNI-QML Quantum machine learning 2P+1C Z,ZK Z 5 Vašata D. Vašata D.
QNI-QOM Quantum Optics, Metrology, Sensing and Imaging 2P+2C Z,ZK Z 5 Jex I. Jex I.
BIE-VMM Selected Mathematical Methods 2P+2C Z,ZK L 4 Kalvoda T. Forough M.
BI-VMM Selected Mathematical Methods 2P+2C Z,ZK L 4 Kalvoda T. Forough M.
NIE-VSM Selected statistical Methods 4P+2C Z,ZK L 7 Hrabák P. Novák P.
NI-VSM Selected statistical Methods 4P+2C Z,ZK L 7 Hrabák P. Hrabák P.
NI-PON Selected Topics in Optimization and Numerical mathematics 2P+1C Z,ZK L 5 Starosta Š. Klouda K., Starosta Š., Vašata D.
QNI-PON Selected Topics in Optimization and Numerical mathematics 2P+1C Z,ZK L 5 Klouda K. Klouda K.
NI-SCR Statistical Analysis of Time Series 2P+1C Z,ZK Z 5 Dedecius K. Dedecius K.
NI-LSM2 Statistical Modelling Lab 3C KZ Z,L 5 Dedecius K. Dedecius K.
NI-LSM Statistical Modelling Lab 3C KZ L 5 Dedecius K. Dedecius K.
NI-TNN Theory of Neural Networks 2P+1C Z,ZK L 5 Holeňa M. Holeňa M.


Page updated 18. 4. 2025, semester: L/2021-2, L/2022-3, L/2024-5, Z/2021-2, Z/2023-4, Z/2024-5, Z/2025-6, Z/2022-3, L/2023-4, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška