Infopaket

Artificial intelligence

ДВС.3.02.01

Вибіркова дисципліна для ОП

Second

2021/2022

3 Semester

3

Know the basic models, methods and algorithms used to build artificial intelligence systems. Know the theory and technology of machine learning. Be able to develop artificial intelligence systems using modern technologies and programming languages (specialized libraries for the development of models of machine learning, natural language processing, etc.).

Full-time form

1. Know: basics of the disciplines "Programming", "Discrete Mathematics", "Probability Theory", "Construction and analysis of algorithms". 2. Be able to use information technology and programming languages to solve applied problems and conduct research. 3. Have basic skills in compiling and analyzing algorithms and programming in Python, Java, C ++.

The discipline " Artificial Intelligence" is part of the educational-professional training program for educational qualification level "Master" of knowledge 12 "Information Technology", specialty 124 "Systems Analysis", educational program "Systems and methods of decision making». It is a basic discipline of higher education institutions specializing in information technology, as well as an effective tool for solving scientific and engineering problems. The purpose and objectives of the discipline is to get acquainted with one of the main scientific areas in the field of computer technology " Artificial Intelligence " and master the technology of solving a wide range of problems of science and technology (including artificial Intelligence problems) using methods, approaches, and algorithms of AI.

Nirenburg S., Raskin V. Ontological Semantics, 2001,//crl. nmsu. edu/stuff. pages/Techial/book/index-book. Html Miller, G., Wordnet: An online lexical database, International Journal of Lexicography, 3 (4), 1990. Pusteyovsky James. The Generative Lexicon. p. 69-72. MIT, London.

Lecture, laboratory work, individual work.

Test work, defense of laboratory work, semester test.

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