Courses taught
Below is the list of courses taught by the Department of Mathematical Analysis and Probability Theory to students at the Faculty of Physics and Mathematics. The titles do not exhaust the whole curricula for mathematics, the other courses (like algebra, geometry etc.) are taught by other Departments.
BACHELOR LEVEL
Semester 1
- Calculus: Functions of a Single Argument
- Basics of Financial Mathematics
- Introduction to Probability Theory
Semester 2
- Calculus: Functions of a Single Argument
- Discrete Mathematics
Semester 3
- Calculus: Functions of Several Arguments
- Complex Analysis
Semester 4
- Calculus: Functions of Several Arguments
- Complex Analysis
Semester 5
- Theory of Probability
- Measure Theory and Lebesgue Integral
Semester 6
- Function Analysis
Semester 7
- Probabilistic Number Theory and Cryptography
- Mathematical Statistics and Stochastic Processes
Semester 8
- Advanced Probability Theory
MASTER LEVEL
Semester 1
- Time Series Analysis
- Foundations of Scientific Researches
- Pedagogical Aspects of Education at University
- Stochastic Differential Equations and Their Applications
- Finance Mathematics of Stock Markets
Semester 2
- Computer Statistics
- Markov Chains and Processes
- Monte Carlo Methods
- Methods of Mathematical Economics
- Applications of Regularly Varying Functions in Probability Theory
Semester 3
- Linear Regression Analysis
- Randomized Algorithms
- Information and Communication Technology for Teaching Higher Mathematics
- Teaching Methdology of Higher Mathematics
PhD LEVEL
Semester 1
- Limit Theorems for Stochastic Processes
Semester 2
- Generalized Renewal Processes