Lenka Hráčková
secretary
| Phone: | +420 549 49 4650 |
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| E‑mail: |
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Office hours: Monday – Friday, 9.00 am – 10.30 am
Department of Applied Mathematics and Computer Science
The Department of Applied Mathematics and Informatics offers subjects, which provide the necessary knowledge and skills both for other, follow-up subjects at the faculty, and for application outside the academic sphere. The subjects currently taught at the department fall into the areas of mathematics, statistics and informatics. The content of the subjects teaches students to master the theoretical basics as well as to apply the acquired theoretical knowledge and master methodical tools of the specified scientific fields. The acquired theoretical and practical knowledge and skills can be used by students not only in follow-up economics subjects but also in solving practical problems of the real economy.
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Divison of Applied Mathematics and Computer Science Head
Associate Professors
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Non-academic Staff
Publications
Total number of publications: 0
Projects
Total number of projects: 0
Courses
Courses taught
Spring 2025 at Faculty of Economics and Administration
- Applied Statistics 1
- Big Data with SQL
- Datamining
- Economic modeling in spreadsheet
- Economic modeling in spreadsheet with VBA
- Elementary introductory statistics
- Ethics and data protection in business environment
- Final Thesis Seminar 1
- Final Thesis Seminar 2
- Internships
- Introduction to SQL
- Mathematics 0
- Mathematics A
- Multivariate Statistical Analysis
- Quantitative Methods for Decision Making
- Repetition of mathematics
- Selected topics of business data analysis
- Statistics 2
- Statistics for economists
- Thesis
Autumn 2024 at Faculty of Economics and Administration
- Applied Statistics 2
- Automatic processing of big data in Excel
- Business Data Visualization
- Data processing with powerBI
- Database systems
- Economic modeling in spreadsheet
- Enterprise data processing and visualisation
- Excel
- Final Thesis Seminar 1
- Final Thesis Seminar 2
- Internships
- Introduction to R
- Mathematics (MKM_MAT2, MPM_MAT2)
- Mathematics 0
- Mathematics for Business Analytics
- Mathematics for economists
- Multivariate Statistical Analysis
- Optimization and Decision Making
- Statistics 1
- Statistics for economists
- Thesis
Spring 2024 at Faculty of Economics and Administration
- Applied Statistics 1
- Big Data with SQL
- Datamining
- Economic modeling in spreadsheet
- Economic modeling in spreadsheet with VBA
- Elementary introductory statistics
- Ethics and data protection in business environment
- Final Thesis Seminar 1
- Final Thesis Seminar 2
- Internships
- Introduction to SQL
- Mathematics
- Mathematics 0
- Mathematics A
- Multivariate Statistical Analysis
- Quantitative Methods for Decision Making
- Selected topics of business data analysis
- Statistics 2 (BKM_STA2, BPM_ST2A, BPM_STA2)
- Thesis
Autumn 2023 at Faculty of Economics and Administration
- Applied Statistics 2
- Business Data Visualization
- Data processing with powerBI
- Database systems
- Economic modeling in spreadsheet
- Economic modeling in spreadsheet with VBA
- Excel
- Final Thesis Seminar 1
- Final Thesis Seminar 2
- Internships
- Introduction to R
- Mathematics (MKM_MAT2, MPM_MAT2)
- Mathematics 0 (BPM_MTH0, CPM_MAT0)
- Mathematics Entrance Test
- Mathematics for Business Analytics
- Multivariate Statistical Analysis
- Optimization and Decision Making
- Optimization Methods
- Statistics 1 (BPM_ST1A, BPM_STA1)
- Statistics I
- Thesis