Infopaket

Fundamentals of artificial intelligence

ННД.04

Обов’язкова дисципліна для ОП

Second

2021/2022

3 Semester

3

PLO5. Be able to carry out effective communicative activities of the project development team. PLO7. Be able to organize, configure and develop Web-systems using the principles of distributed systems, hypertext systems, appropriate hardware, and software

Full-time form

To successfully study the discipline the student must meet the following requirements: 1. Know: basic information on mathematical analysis and set theory, linear algebra, methods of estimation and identification, mathematical modeling and modeling of dynamic systems of programming theory, mathematical logic, mathematical statistics 2. Be able to: solve systems of linear algebraic equations with parameters, apply various optimization methods to estimate parameters (eg least squares method, gradient descent type methods), skillfully use the concepts of set theory and optimization methods. 3. Have the skills to build, analyze and apply mathematical models in solving applied problems.

The purpose of the discipline "Fundamentals of Artificial Intelligence" is to master the methodology of solving problems based on methods of artificial intelligence in the analysis and design of information-control systems and related technologies.

1. Stuart J Russel, Peter Norvig. Artificial Intelligence. A modern Approach. – Prentice Hall, New Jersey. – 2003.

Lectures, independent work.

Semester assessment: A maximum number of points that can be obtained by a student: 60 points: Test work №1: - 20/12 points. Test work № 2: - 20/12 points. Current evaluation - 20/12 points. Final assessment in the form of an exam.

Ukrainian