Mathematical methods for data analysis

Course guarantor:

Ivan Nagy, Pavla Pecherková, Evženie Uglickich

Lecturer:

Pavla Pecherková, Evženie Uglickich

Tutor:

Pavla Pecherková, Evženie Uglickich

Supervisor:

Department of Applied Mathematics

Synopsis:

Stocastic modelling, estimation, prediction, filtration, control, methods of data analysis - k-means, DBSCAN, naive Bayes, decision trees, support vector machine.

Requirements:

probability, classical statistics, basics of algebra and calculus

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

To teach students the basic of dynamic statistic, i. e. analysis of data evolving in time. The accent is given to methods of clustering ans classification. Theoretical exposision of the subject is closely bound with a practical realization of the tasks in computer.

Study materials:

William M. Bolstad: Introduction to Bayesian Statistics, 2nd Edition. Willey, ISBN-13: 978-0470141151

P.Tan, M.Steinbach, V.Kumar: Introduction to Data Mining. Pearson Education, Inc., 2006. ISBN 0-321-32136-7

materiály na webu: http://staff.utia.cas.cz/suzdaleva/

Note:

Time-table for winter semester 2024/2025:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomHO:B-405 Uglickich E. 11:30–13:00 (lecture parallel285) Horská 3 (nová budova)roomHO:B-102 Uglickich E. 13:15–14:45 (parallel nr.285) Horská 3 (nová budova) Počítačová učebna
Tue
Wed
Thu
Fri	roomHO:B-101 Pecherková P. 08:00–09:30 (parallel nr.292) Horská 3 (nová budova) Počítačová učebnaroomHO:B-101 Pecherková P. 09:45–11:15 (parallel nr.292) Horská 3 (nová budova) Počítačová učebnaroomHO:B-101 Pecherková P. 13:15–14:45 (parallel nr.292) Horská 3 (nová budova) Počítačová učebnaroomHO:B-101 Pecherková P. 15:00–16:30 (parallel nr.292) Horská 3 (nová budova) Počítačová učebna roomHO:B-101 Pecherková P. 08:00–09:30 (parallel nr.292) Horská 3 (nová budova) Počítačová učebnaroomHO:B-101 Pecherková P. 09:45–11:15 (parallel nr.292) Horská 3 (nová budova) Počítačová učebna

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• PL nav.prez.22/23 (pro program PL) (compulsory course)
• PL nav.kombi 22/23 (pro program PL) (compulsory course)
• PL nav.prez.23/24 (pro program PL) (compulsory course)
• PL nav.kombi 23/24 (pro program PL) (compulsory course)