Artificial Intelligence

Brief description of the course: the discipline considers the basic rules and practices of academic writing, including: the terminology and style of scientific narration, the order of presentation of material for scientific papers and monographs accepted in the international scientific community, the main stages of publishing articles and essays in rating publications, the structure of scientific and technical answers, the specifics of their writing.

Тhe discipline considers the main paradigms (ontologies) of scientific research in the field of computer and related sciences with an emphasis on the principles of generating new ideas and knowledge

Teaching practice is aimed at developing students’ experience in organizing project-oriented and student-oriented learning under the guidance of the head of the practice. As a result of the internship, the student will develop public speaking skills and confidence when working with a large audience of listeners, develop an understanding of various approaches to organizing training

This discipline covers the fundamentals of artificial intelligence theory, particularly search algorithms, logic, formal computational models, planning, and decision-making. An important aspect is the study of principles underlying problem-solving through artificial intelligence, such as state space search, graph theory, and optimization issues.

Research practice is aimed at searching for scientific literature, processing it, systematizing knowledge, and preparing an experiment. As a result of mastering, students will put into practice the principles of interaction with the head of scientific work, critical analysis of the material, synthesis of the approach to the implementation of scientific research, including aspects of validation and interpretation of expected results, planning activities and work on the project.