Course title: Introduction to Artificial Intelligence
Number of credits (ECTS): 6
Weekly number of classes: 2+2+1+0
Prerequisite for enrollment of the subject: None
Course Goals (acquired competencies): Introduction to artificial intelligence. Acquiring skills for autonomously solving practical engineering problems in the field of artificial intelligence.
Total available number of classes: 180
Course Syllabus: 1. Introduction to AI. 2. Intelligent agents and their environment. 3. Problem-solving in AI: problem formulation, path cost function, uninformed and informed search strategies, constraint satisfaction problems – definition, strategies, examples. 4. Adversarial search in AI: optimal desicions in games, optimal strategies, a utility function, two players games, MIN-MAX algorithm, multiple players games, alpha-beta pruning, stohastic games. 5. Learning: decision trees, statistical learning methods, application in games, robotics. Artificial neural networks: structure, classification, training.
|Stuart Russell, Peter Norvig||Artificial Intelligence A Modern Approach||2010|