Lesson Code | Course Name | Class | Credit | Lesson Time | Weekly Lesson Hours (Theoretical) | Weekly Lesson Hours (Practice) | Weekly Class Hours (Laboratory) |
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YZS 3221 | Artificial Intelligence Systems | Үшінші курс | 5 | 150 | 1 | 2 | 2 |
The discipline controls the work on the compilation of applied problems using artificial intelligence methods, as a result of which its characteristic feature is not a direct solution of the problem, but conducting training work using solutions to many similar problems. Supervises work on classification, clustering, pattern recognition, regression, generalization of artificial intelligence systems, as a result of which models are set: perceptions, multilayer neural networks, RBF networks, Kohonen networks, studies genetic algorithms.
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Mathematics I, II, Physics I, II
Expression, exchange of ideas, discussion, problem solving methods.
1 | Information about basic methods in the field of artificial intelligence. |
2 | Recognizes artificial intelligence systems and knows their use in production processes |
3 | Ability to formulate and solve practical problems using basic methods in the field of artificial intelligence. |
4 | Can prepare artificial intelligence projects. |
Haftalık Konu | Evaluation Method | |
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1 | Basic Concepts, Artificial Intelligence history and philosophy. | |
2 | Clever Agents. | |
3 | Introduction to Problem Solving and Search Algorithms with Artificial Intelligence. | |
4 | Search Algorithms That Do Not Use Problem Information. | |
5 | Intuitive Search. | |
6 | Game Problems. | |
7 | Meta-Heuristic Search Methods. | |
8 | Artificial neural networks. | |
9 | Knowledge Based Agents. | |
10 | First Order Logic. | |
11 | Inference in First Order Logic. | |
12 | Prolog Programming Language and Logic Programming. | |
13 | Prolog Programming Language and Logic Programming. | |
14 | Probability Based Inference. | |
15 | Review. |
PÇ1 | PÇ2 | PÇ3 | PÇ4 | PÇ5 | PÇ6 | PÇ7 | PÇ8 | PÇ9 | PÇ10 | PÇ11 | PÇ12 |
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Textbook / Material / Recommended Resources | ||
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1 | 1. Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |