Educational goals
The main aims of the study are: theoretical knowledge of basic mathematical disciplines (algebra and mathematical analysis), knowledge of follow-up mathematical disciplines (mainly probability theory, statistics, numerical mathematics, basic knowledge of related science disciplines (physics and chemistry), advanced knowledge and skills in the information technology sphere, thorough knowledge software tools Matlab and R and the ability to work with them.
Profile of the graduate
Graduates from the study program Mathematics obtain basic theoretical knowledge in main mathematical disciplines, an overview of the structure of this field and an overview of associated science disciplines (physics and chemistry). Graduates have advanced knowledge of information technologies and skills in programming. The theoretical basis gained forms graduates? abstract and critical thinking. It also cultivates their personality and abilities in problem solving.
Information
- Study programme
- Mathematics (B0541A170015)
- Faculty of
- FP
- Type of study
- Bachelor
- Form of study
- Full-time
- Length of study
- 3
- Awarded degree
- Bc.
- Language
- Czech
- Education area
- Mathematics and Statistics
Courses of Mathematics programme
1. semester
- English Language 1 (compulsory)
- Intoduction to Linear Algebra (compulsory)
- Introduction to LaTeX (compulsory)
- Mathematical Analysis 1 (compulsory)
- Programming 1 (compulsory)
2. semester
- English Language 2 (compulsory)
- Intoduction to General Algebra (compulsory)
- Mathematical Analysis 2 (compulsory)
- Programming 2 (compulsory)
3. semester
- Analysis of Functions of Several Variabl (compulsory)
- Communicative English 1 (compulsory)
- Computer Practicum (Matlab) (compulsory)
- Computer Practicum (R) (compulsory)
- Linear and general algebra in context (compulsory)
- Mathematical Analysis 3 (compulsory)
- Measure and Integral (compulsory)
- Probability and Statistics (compulsory)
4. semester
- Communicative English 2 (compulsory)
- Introduction to Fnctional Analysis (compulsory)
- Numerical Mathematics 1 (compulsory)
- Ordinary differential equations (compulsory)
- Probability and Statistics (compulsory)
5. semester
- Foundations of Analysis in the Complex D (compulsory)
- Fundamentals of Finite Element Method (compulsory)
- Numerical Mathematics 2 (compulsory)
6. semester
- Linear Statistical Models (compulsory)
Courses without specified study plan
- Actuarial Mathematics (compulsory optional)
- Algorithms and Data Structures (compulsory optional)
- Bachelor thesis (compulsory)
- Complexity and Computability (compulsory optional)
- Computer Architecture (compulsory optional)
- Cybersecurity and Cryptography (compulsory optional)
- Expert discourse on mathematics (compulsory)
- Financial Mathematics (compulsory optional)
- General Chemistry (compulsory optional)
- Introduction to Discrete Mathematics (compulsory optional)
- Mathematical problems of non-mathemat. (optional)
- Mathematics in English (optional)
- Operating Systems (compulsory optional)
- Optimization problems (compulsory optional)
- Physics 2 (compulsory optional)
- Physics 3 (compulsory optional)
- Physics I (compulsory optional)
- Python for Applied Science (compulsory optional)
- Seminar for mathematics and didactics (optional)
- Splines and Wavelets (compulsory optional)
- Theory of Graphs and Games (compulsory optional)
More details
Contact: Finěk Václav, doc. RNDr. Ph.D., vaclav.finek@tul.cz