Infopaket

Mathematics of Artificial Intelligence

КП 2121.2

E7 Mathematics

2 years

120

7

Second (Master)

Mathematics and statistics

KnowledgeField EN

Bachelor's degree in the main or combined specialty

Possession of a bachelor's degree

Forms of organizing instruction include lectures, practical sessions, seminars, laboratory classes, independent work, consultations, pre-graduation industrial internships, as well as the preparation and discussion of the final qualifying work with instructors and students.

The ability to solve complex tasks and practical problems of a research or innovative nature in the field of mathematics, and to substantiate the results obtained. PLO-1. To know and understand the fundamental and applied aspects of the mathematical sciences. PLO-2. To demonstrate knowledge of fundamental branches of mathematics to the extent necessary for mastering the mathematical apparatus of the relevant field and applying mathematical methods within one’s chosen profession. PLO-3. To possess a command of the foundations of mathematical disciplines and theories, including those that study models of natural and social processes. PLO-4. To be proficient in mathematical methods for the analysis, forecasting, and estimation of model parameters, as well as in mathematical techniques for interpreting numerical data and understanding the principles underlying natural processes. PLO-5. To possess the skills to effectively communicate within educational and scientific contexts, select research data, compile bibliographies, and describe scientific results. PLO-6. To be proficient in discrete and continuous methods for the formalization, modeling, and analysis of computational processes. PLO-7. To be proficient in algebraic, probabilistic, and analytical methods for the acquisition, processing, storage, and protection of data. PLO-8. To be able to apply fundamental mathematical principles in professional practice. PLO-9. To be able to read and comprehend fundamental mathematical and computational literature, and to demonstrate the ability to present this material effectively through well-reasoned oral or written reports. PLO-10. Communicate professional knowledge, as well as one’s own rationale and conclusions, to specialists and the general public. PLO-11. Initiate and conduct scientific research in the specialized field of computational mathematics, and solve problems in other fields of knowledge using mathematical modeling methods. PLO-12. Possess the ability to organize collaborative activities and implement complex projects, taking into account available resources and time constraints. PLO-13. Be able to independently plan the execution of research and innovation tasks and formulate conclusions based on their results. PLO-14. Master mathematical and statistical methods for the analysis, forecasting, and estimation of mathematical model parameters, as well as statistical methods for the interpretation and processing of numerical data.

Full-time form

Written and oral exams, tests, differentiated tests, current control, defense of the course project, defense of the qualification work, certification exam.

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General mathematical education with an emphasis on applications in the field of information technology. Keywords: computational mathematics, statistics, algorithms, artificial intelligence, mathematical modeling.

Opportunity to pursue education at the third (educational-scientific) level of higher education, and to acquire additional qualifications within the postgraduate education system