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NEAR EAST UNİVERSİTY

FACULTY OF ENGINEERING

Course Code Com451 Course Title Artificial

Intelligence

Academic Year 2015-2016 Spring Course

Credit 3

E-mail Office Tel

Instructor(s) As.prof Imanov E.. Elbrus.imanov@neu.edu.t

r 16H35

Course objectives

In this course students learn basic of Artificial Intelligence: the

foundation of AI. Solving problem by searching, basic representation of planning, expert systems technology, artificial neural network

technology, pattern recognition, distributed AI systems and so on. This course also includes programming language of AI-PROLOG with different examples and VP-Expert Primer.

Weekly Schedule

Week 1.Introduction to Artificial Intelligence Week 2.Search Strategies in AI

Week 3. Fuzzy Logıc Week 4. Fuzzy Set

Week 5.Neural Networks (NN)

Week 6.Types of Neural Networks (NN)

Week 7. Neural Networks (NN) learning NeroSell Program Week 8. Expert Systems

Week 9. VP-Expert Primer.

Week 10. Programming language of Artificial intelligence-VPX Week 11. Programming language of Artificial intelligence-VPX Week 12. Programming language of Artificial intelligence-Prolog Week 13. Probabilistic Uncertainty Reasoning, Belief Network Week 14. Distributed AI

Textbook(s)/

Required Reading Artificial Intelligence. A modern approach. Stuart J. Russel and Peter Norvig. New Jersey 1995

Recommended Reading

Efraim Turban. Decision support systems and expert systems. Fourth Edition. Prentice Hall.

Grading Criteris Midterm exam 35%

Quız 20%

Final exam 45%

Referanslar

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