Topics requested for admission to the doctoral study at AI

Applied informatics - department of software engineering 

1. Dynamic Data Structures: List, queue, stack, tree structures, memory requirements, properties including memory usage.
2. Algorithms: Methods of algorithm construction, algorithm properties including time complexity, efficient sorting and searching methods.
3. Programming Languages: Basic characteristics, properties, suitability for applications.
4. Numerical Mathematics: Numerical methods in linear algebra, solving nonlinear equations and systems, numerical differentiation and integration, numerical methods for solving systems of ordinary differential equations.
5. Probability and Statistics: Random variables and their distribution functions, probability density, parameter estimation methods for distributions, Monte Carlo method.