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Neural networks and artificial intelligence

ДВС.1.04

Вибіркова дисципліна для ОП

Second

2023/2024

1 Semester

4

LO1. To search, process and analyze professionally important knowledge from various sources using modern information and communication technologies. LO 3. Summarize empirical data and formulate theoretical conclusions.LO 11. Evaluate achievements and determine and argue the prospects of their own scientific work.

Full-time form

1. To know the basics of general psychology, psychology of consciousness, CNS anatomy and physiology of the ANS, basic methods of scientific research. 2. Possess skills of scientific research, search, processing and analysis of information from various sources, use of information and communication technologies.

The purpose of the discipline is to acquire the necessary knowledge in the field of artificial intelligence, to learn to distinguish the differences between natural and artificial neural networks, to improve learning approaches by studying the features of machine learning.

1. Rudenko O. H., Bodianskyi Ye. V. Shtuchni neironni merezhi: Navchalnyi posibnyk. – Kharkiv: TOV "Kompaniia SMIT", 2006. 2. Hlybovets M.M., Oletskyi O.V. Shtuchnyi intelekt. K.: VD ″Kyievo-Mohylianska akademiia″, 2002. 3. Anisimov A.V., Hlybovets M.M., Kravchenko I.V., Oletskyi O.V., Tereshchenko V.M., Kuliabko P.P. Systemy shtuchnoho intelektu. // Navchalnyi posibnyk, VPTs "Kyivskyi universytet" 2000. 4. Churchland, P. M., 2007. Neurophilosophy at Work, Cambridge: Cambridge University Press. 5. Churchland, P. S., 2002. Brain-wise: Studies in Neurophilosophy, Cambridge, MA: MIT Press. 6. Russell, S., & Norvig, P., 2009. Artificial Intelligence: A Modern Approach, Upper Saddle River, NJ: Prentice Hall.

Lecture, seminar, practical class, individual work

Assessment methods: oral answers (presentation at the seminar, participation in discussions and discussions, supplementary comments), report with or without presentation, practical tasks, final control work. The form of final control is credit. Organization of assessment: All types of work are evaluated during the semester. of work. The maximum number of points for work during the semester is 100. The grade is based on the results of the student's work during the semester. Students who have scored a total of less than 60 points during the semester, but but more than the critical-calculated minimum of 40 points, pass the test. A passing grade is worth a maximum of 20 points. Students who have scored a total of less than the critical and minimum of 40 points are not allowed to take the test. The recommended minimum for admission to the test is 40 points. Rating scale: 0-59 - not credited; 60-100 - passed.

Ukrainian