Educational goals
“Main Aims: ? To provide graduates with theoretical knowledge about mathematical disciplines – probability theory and mathematical statistics; discrete mathematics and combinatorics; dependability management and risk analysis; numerical analysis – which allows them to continue their studies in similar postgraduate programs, or to work in academia, and in other scientific and research institutions. ? To equip them with a knowledge of mathematical and statistical methods distinctive of the field of dependability and risk assessment, including a through familiarity with appropriate analytical software, with a special emphasis on their use in an industrial context, on the level of middle and top management.”
Profile of the graduate
Graduates of the program acquire knowedge of an appropriate range and depth concerning the principles of logical and critical thinking and they understand the connections between the four main subject areas of the curriculum, as defined by its foundation subjects: probability theory and mathematical statistics, discrete mathematics and combinatorics, dependability management and risk analysis, and numerical analysis.
Information
- Study programme
- Applied Mathematics (N0541A170010)
- Faculty of
- FP
- Type of study
- Postgraduate Master
- Form of study
- Full-time
- Length of study
- 2
- Awarded degree
- Mgr.
- Language
- Czech
- Education area
- Mathematics and Statistics
Courses of Applied Mathematics programme
1. semester
- Discrete Mathematics (compulsory)
- Introduction to the dependability and ri (compulsory)
- Selected Parts of Numerical Mathematics (compulsory)
- Stochastic processes (compulsory)
2. semester
- Combinatorial Methods (compulsory)
- Mathematical Foundations of Reliability (compulsory)
- Mathematical Statistics (compulsory)
- Methods and tools for maintenance (compulsory)
- Numerical Methods of Linear Algebra (compulsory)
3. semester
- Diploma seminar I (compulsory)
- k-out-of-n Systems (compulsory)
- Optimization Methods (compulsory)
- Statistical Methods in Reliability (compulsory)
4. semester
- Diploma seminar II (compulsory)
Courses without specified study plan
- Applied dependability techniques (compulsory optional)
- Computational software (compulsory optional)
- Data Mining (compulsory optional)
- Databases and data mining (compulsory optional)
- Dependability software tools (compulsory optional)
- Encryption, Codes and Aplications (compulsory optional)
- Finite Element Method (compulsory optional)
- Information Security Risk Management (compulsory optional)
- Partialy Ordered Sets, Lattices (compulsory optional)
- Programming in C/C++ (compulsory optional)
- Statistical Software (compulsory optional)
More details
Contact: Koucký Miroslav, doc. RNDr. CSc., miroslav.koucky@tul.cz