1. Artificial Intelligence
Course Outline

2. Course Material Text books:
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th ed.), George F. Luger, Addison-Wesley
Artificial Intelligence, A Modern Approach, Stuart Russell and Peter Norvig, Prentice Hall

3. Course Description
Artificial Intelligence is the subfield of computer science concerned with automating tasks that would require "intelligence" if performed by people.
AI is a highly eclectic field, with roots in mathematics, logic, psychology, philosophy, and engineering.
The goal of this course is to introduce and survey the field of Artificial Intelligence, paying special attention to foundational concepts and theories.
In addition, current trends and approaches in AI research will be studied

4. Course Outline Course overview and Introduction to AI AI history
LOGIC PROGRAMMING
Predicate logic, Prolog
Prolog Basics
Prolog: unification, Resolution, lists
More Prolog: built-in predicates, Operators
AI AS SEARCH
State spaces, uninformed strategies
Constraint-based search

5. Course Outline (contd.)
Heuristics, Informed strategies
Optimization problems, Game Trees
REPRESENTATION & AI
Semantic nets, Frames
Expert Systems, Uncertainty
Rule-based Reasoning
MACHINE LEARNING
Connectionist Models
Emergent Models
Genetic Algorithms, a-life
Case Studies: Eliza, Mycin
Student presentations

6. Questions & Answers
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