EP name

8D05405 Computational Sciences and Statistics

Field of education

Mathematics and statistics

Direction of training

Mathematics and statistics

Group of educational programs

Mathematics and statistics

Target

• Conduct scientific research and obtain new fundamental and applied results, critically analyze and evaluate the results obtained, formulate sound conclusions even in conditions of incomplete or limited information;
• Write scientific articles in foreign and domestic scientific journals and convey to the wide scientific community advanced topics and research results at international and republican conferences, seminars and workshops, critically assessing their significance;
• Write independently scientific projects and applications, setting a theoretical or practical computational problem or solution method that is relevant for society, implement and correct, if necessary, the process of independent scientific research;
• Determine the direction and intensity of their professional development in the chosen scientific field, be able to work in a team and contribute to the development of the team and society as a whole.

Language of instruction

Kazakh, Russian, English

Credit volume

180

Awarded academic degree

PhD

Learning outcomes

• Create and use correct structured, curvilinear, unstructured computational grids in computational problems
• Develop parallel computational algorithms for engineering problems and implement them in high-performance systems, develop quantum computing algorithms.
• Use the methods of mathematical statistics on real data for the selection of parameters, adaptation and testing of computing systems based on real experiments
• Use data mining methods based on deep learning, reinforcement learning to adapt the computational algorithm to effectively predict outcomes

For applicants

https://welcome.kaznu.kz/ru/education_programs

Academic activities

Scientific activity

International activity

Quality assurance (Accreditation, rating, work with employers)