Artificial IntelligenceAssoc. Prof. Abdulwahab AlSammak

Course InformationCourse Title: Artificial Intelligence

Instructor : Assoc. Prof. Abdulwahab AlSammak

Email : Sammaka@gmail.com

Course Material : http://www.mediafire.com/?ygl6b6y653edd

 Course Grading: Midterm Exam25 Assignments 10Lab. & Tutorial 15Final Exam 75

References : Textbooks

1. "Artificial Intelligence", by Elaine Rich and Kevin Knight, (2006), McGraw Hill companies Inc., Chapter 1-22, page 1-613.

 2. "Artificial Intelligence: A Modern

Approach" by Stuart Russell and Peter Norvig, (2002), Prentice Hall, Chapter 1-27, page 1-1057.

Course Content1. Introduction to AI ( 1 week)Definitions, Goals of AI, AI Approaches, AI

Techniques, Branches of AI, Applications of AI.2. Problem Solving, Search and Control

Strategies : ( 2 weeks)General problem solving, Search and control

strategies, Exhaustive searches, Heuristic search techniques,

Constraint satisfaction problems (CSPs) and models .3. Knowledge Representations Issues, Predicate

Logic, Rules : ( 2 weeks)Knowledge representation, KR using predicate logic,

KR using rules.

4. Reasoning System - Symbolic , Statistical : ( 2 weeks)

Reasoning - Over view, Symbolic reasoning, Statistical reasoning.

5. Learning Systems: ( 2 weeks)Rote learning, Learning from example :

Induction, Explanation Based Learning (EBL), Discovery, Clustering, Analogy, Neural net and genetic learning, Reinforcement learning.

6. Expert Systems : ( 2 weeks)Knowledge acquisition, Knowledge base,

Working memory, Inference engine, Expert system shells, Explanation, Application of expert systems.

7. Natural Language Processing : ( 2 weeks)

Introduction, Syntactic processing , Semantic and Pragmatic analysis.

8. Prolog Programming ( 5 weeks in the Lab)