Artificial Intelligence Technologies in Computer and Cyber-Physical Systems

Major: System Programming
Code of subject: 7.123.02.O.005
Credits: 3.00
Department: Electronic Computing Machines
Lecturer: Professor Kuryliak Dozyslav Bohdanovych
Semester: 1 семестр
Mode of study: денна
Learning outcomes: know: fields of applications of CSAI, knowledge base, models of knowledge representation; logical models of knowledge representation in CSAI; the resolution method; fuzzy sets; methods of derivation under fuzzy conditions; semantic networks; production models; frames; artificial neural networks; methods of making decision; recognition of images; types of problems recognition; methods and algorithms of classification of images; theoretical aspects of machine translation; levels of understanding and their classification; specifications of design and exploiting of expert systems
Required prior and related subjects: prerequisites: - computer systems; - systems programming; - technologies of computer systems designing
Summary of the subject: Modern methods of CSAI and their application; Methods of database knowledge formation; Operation with knowledge models; Application for CSAI designing
Assessment methods and criteria: Final control (exam), writing (50%), oral form (50%).
Recommended books: 1. Левитин К.Е., Поспелов Д.А. Будущее искусственного интеллекта.- М.: Наука, 1991. 2. Искусственный интеллект. Кн. 1-3. Под ред. Поспелова Д.А. - М.: Радио и Связь, 1990. 3. Нильсон Л. Принципы искусственного интеллекта. - М.: Радио и Связь, 1985.