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 ===== Description  =====
-The course lays the conceptual foundation of object-oriented programming. It covers delegation and contracts, encapsulation and API programming, aggregation and the collections framework, inheritance and polymorphism, all from the client's perspective.
+Artificial Intelligence (AI) deals with how to build intelligent systems. In this course, we examine some of the fundamental concepts in AI:
+  * Introduction to AI - (R&N) Chapter 1
+  * Intelligent Agents - (R&N) Chapter 2
+  * Logical Representations, First-Order Logic Syntax and Semantics - (R&N) Chapter 8
+  * Reasoning, Inference in First-Order Logic - (R&N) Chapter 9
+  * Uninformed and Heuristic (Informed) Search - (R&N) Chapter 3
+  * Game/Adversarial Search - (R&N) Chapter 5
+  * Constraint Satisfaction and Backtracking Search - (R&N) Chapter 6
+  * Uncertain Reasoning - (R&N) Chapter 13 & 14
+  * Logic Programming in Prolog - (C&M) Chapter 1, 2, 3, 4, 5, 6, 7, 9, 10
+  * Functional Programming and Lisp (Briefly)
 ===== Lecture Times =====
-  * Section A: Mondays and Fridays, 11:00am - 12:00pm, CSE 111
+  * Mondays and Wednesdays, 4:00pm - 5:30pm, HNE B15
+===== Textbooks =====
+You will require the following textbooks for this course:
+  * (R&N): Russell, S.J. and Norvig, P., //Artificial Intelligence: A Modern Approach//, 3rd edition Prentice Hall, 2010.
+  * (C&M): Clocksin, W.F. and Mellish, C.S., //Programming in Prolog//, (5th edition), Springer Verlag, New York, 2004.
+===== Software =====
+[[http://www.swi-prolog.org/|SWI-Prolog]], a free software licensed under the [[http://www.gnu.org/copyleft/lesser.html|Lesser GNU Public License]].