Artificial intelligence

FACULTY OF INTELLECTUAL SYSTEMS AND COMPUTER TECHNOLOGIES

70610701-Artificial intelligence

70610701-Artificial intelligence direction according to master's study in process graduate students’ scientific activity, theory education, scientific research work and master's degree dissertation preparation and scientific practice (experience gain) as knowledge and to skills have will be Study term is 2 years from the end after students master academic degree have will be

70610701-Artificial intelligence direction according to master's education shape daytime for 2 years continue is enough Students study of the process second 6 weeks a year during higher education, scientific research institutions, industry and network organization and in enterprises scientific in practice experience they gain

State certification:

Master's degree dissertation protection to do

Note:

1. 1 credit 30 academic the clock organizes does​

2. Higher education institution specialty of sciences program work on the way out and sciences the list in formation personnel of customers’ requirements in consideration takes​

3. Sciences according to course project (work) to science separated independent hours 30 hours (1 credit) download is separated.

4. Scientific practice (experience gain) higher education, scientific research institutions, industry and network organization and in enterprises will be held.

VACATION TIME:

1. 1st course:

- December from the 5th week of January 1 week of the month (25.12.2023-07.01.2024 for 2024)

- June from the 2nd week of September (for 2024, 10.06.2024-02.09.2024)

2. 2nd course:

- December from the 5th week of January 1 week of the month (25.12.2023-07.01.2024 for 2024)

- July from the 1st week of September (for 01.07.2024-02.09.2024 for 2024)

THE SCIENCES

1. Scientific research methodology
2. Specialized software tools
3. Special sciences teaching methodology
4. Database management systems
5. Web application creation technologies
6. Mathematical foundations of artificial intelligence
7. Programming for artificial intelligence problems
8. Machine learning
9. Big data
10. Neural networks
11. Programming for parallel and distributed computing

ELECTIVE SUBJECTS

1. Deep learning methods
2. Image analysis and recognition
3. Data management and analysis
4. Mathematical methods of pattern recognition