Educational program

The educational program is focused on the formation of students' current knowledge and competencies in the field of computational sciences and statistics, the creation of mathematical and computer models of real processes based on computational and statistical data, the choice of modern methods of their research, the creation of applications and software products to solve the problems of professional activity in the studied fields of sciences, the formation of skills for scientific research and educational activities at the university and research institute.

ON1. Demonstrate mathematical literacy, logical thinking, and knowledge of the basic concepts and ideas of computational science and statistics methods for solving problems;
ON 2. Choose modern methods of computational science and statistics and apply them in solving problems of natural science;
ON 3. Be able to formulate and test statistical hypotheses that correspond to the data of the studied problem;
ON 4. Master the methods of computational mathematics and statistics as the main tools for solving complex mathematical models and problems at the present time;
ON 5. Analyze the results of computational work and visualize the processes described by mathematical models based on them;
ON 6. Use programming tools and develop new programs for implementing methods of computational mathematics and statistics;
ON 7. Summarize the results of research and computational work in the relevant fields of science in the form of participation in research projects and presentations at conferences;
ON 8. Create computer models of real processes based on computational and statistical data;
ON 9. Create mathematical models of the object under study based on the principles and tools of mathematical methods;
ON 10. Use methods for quantifying statistical data of different nature;
ON 11. Create applications to software packages for optimizing professional activity in the studied fields of science, conduct laboratory and numerical experiments, and evaluate the accuracy and reliability of simulation results;
ON 12. Work in a team, argue for the correct choice of solutions to mathematical and statistical problems; critically evaluate their activities, the activities of the team, and be able to self-education and self-development