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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025

Mathematical methods for data analysis

The course is not on the list Without time-table
Code Completion Credits Range Language
11MMOA Z,ZK 4 2P+2C+12B Czech
Garant předmětu:
Lecturer:
Tutor:
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:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-03-28
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