Infopaket

Artificial intelligence systems

ДВС.1.06

Вибіркова дисципліна для ОП

First

2022/2023

8 Semester

3

PLO01. Know, analyze, purposefully search for and select the necessary information and reference resources and knowledge to solve professional problems, taking into account modern advances in science and technology. PLO05. Know and apply relevant mathematical concepts, methods of domain, system and object-oriented analysis and mathematical modeling for software development. PLO13. Know and apply methods of algorithm development, software design and data and knowledge structures design. PLO15. Choose with mMotivatedion to choose programming languages and development technologies to solve problems of software creation and maintenance. PLO17. Be able to apply methods of component software development. PLO28.1. Know the technologies of artificial intelligence and be able to apply them when creating software systems.

Full-time form

1. Successful mastering of the course: "Neural Networks". 2. To know: the principles of software development using modern programming languages; basic knowledge of probability theory and discrete mathematics. 3. Be able to: work with databases. 4. Be skilled in: programming C, C ++ or Python.

The purpose of the discipline is to teach students to solve problems of choosing algorithms for finding solutions and models of knowledge representation in the design of artificial intelligence; to develop students' skills in formalization of knowledge and usage of formal methods of finding solutions to problems by using formalized knowledge. As a result of studying the discipline, the student must: know the basic models and methods of solving problems that are traditionally considered as intellectual; know modern tools for building artificial intelligence systems; know the scope of artificial intelligence; be able to apply methods and tools of artificial intelligence to formulate and solve intellectual problems; be able to use technologies for building artificial intelligence systems.

1. Russell, Stuart J. (Stuart Jonathan). Artificial intelligence: a modern approach. – Publisher: Alan Apt, 1995. – 932 р. – ISBN 0-13-103805-2. 2. Dyubua D., Prad A. Teoriya vozmozhnostey. Prilozheniya k predstavlennyu znaniy v informatike. M.: Radio i svyaz', 1990. – 286 s. 3. Iskusstvenn'í̈y intellekt. Spravochnik. Kn. 1-3. M., 1990. – 304 s. 4. Logicheskiy podkhod k iskusstvennomu intellektu. Ot klassicheskoy logiki k logicheskomu programmirovaniyu. M.: Mir, 1990. – 430 s. 5. Nechetkiye mnozhestva i teoriya vozmozhnostey. M.: Radio i svyaz', 1986. – 409 s. 6. Nil'son N. Iskusstvenn'í̈y intellekt. M.: Mir, 2012. – 274 s. 7. Sterling L., Shapiro Ye.. Iskusstvo programmirovaniya na yaz'íke PROLOG. M.: Mir, 2012. 235 s. 8. Chen' CH., Li R. Matematicheskaya logika i avtomaticheskoye dokazatel'stvo teorem. M.: Nauka, 2013. – 360 s.

Lectures, laboratory classes, independent work, tests, presentation of laboratory work, credit.

Half-year rating. The maximum number of points that can be obtained by a student during the semester  100/60 points. Final rating (in the form of a test): - credit points are defined as the sum of grades / points for all successfully rated learning results provided by this program; - the minimum threshold level for the total rating of all components is represented by 60% of the maximum possible number of points.

Ukrainian