CSC 748 - Introduction to Artificial Intelligence - 2010/2011 SESSION
Aims
The aims of this course is to provide an overview and basic introduction to concepts and methods in Artificial Intelligence (AI), including notions of rational behavior and intellıgent agents. Major subareas of Artificial Intelligence will be covered. The emphasis will be on understanding the fundamental concepts, as well as being able to practically apply the corresponding approaches in solving practical problems and developing useful software applications, including ability to carry out independent research in the Field of AI. While making reference to program illustrations in traditional languages such as C and Java  The use of Prolog as a language for modeling problems and implementing algorithms in AI. will be emphasized. 
Pre-requisite is familiarity with the basic concepts of logic and probability theory as well as programming experience are fundamental knowledge that will  be helpful in order to understand better some of the algorithms, techniques and data structures to be studied in this course.
Lecture

Registration
Tuesdays 2:00–4.00 pm in PG hall, Dept of Computer Science 
Lab. period: To be announced later 

It is mandatory to register for this course from here
This course will be taught through through Moodle VLE at the University of Ibadan Learning Management System. However, for you to be enrolled in the UI VLE Artificial Intelligence Class, you must first register here
Check the LMS regularly for updates, announcements, assignments/homework etc

Course Outline
Topic
1. Introduction to AI : 
Definitions of AI, Goals of AI, AI Approaches, AI Techniques, Branches of AI, Applications of AI.
Resources
Assignment(s)
View assignment
2. Intelligent Agents
Agents and environments, Rationality, PEAS (Performance measure, Environment, Actuators, Sensors), Environment types, Agent types
1. Chapter 2 of "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig, (2002), Prentice Hall.
2. Chapter  11 of Artificial Intelligence A Systems Approach by Tim Jones
Download First Assignments
3. Problem Solving, Search and Control Strategies : 
General problem solving , Search and control strategies , Uninformed Search,  Heuristic search techniques, Constraint satisfaction problems (CSPs), models .
1. 2 & 3 of Artificial Intelligence A Systems Approach by Tim Jones
2. Chapters 3 and 4 of Artificial Intelligence a Modern Approach by Russell and Norvig
3. Explore the graph searching tools for learning Artificial Intelligence at AISpace website:
http://www.aispace.org/search/index.shtmland try out the customizable search applets

Download lecture slides below:
uninformed_search.pdf
File Size: 895 kb
File Type: pdf
Download File
informed_search.pdf
File Size: 537 kb
File Type: pdf
Download File
Download and experiment with AISpace search applet
4. Game Playing : 
Overview, Mini‐Max search procedure, Game playing with Mini‐Max, Alpha‐Beta  pruning, A*
Download lecture slides on Game playing
05-game_playing.pdf
File Size: 553 kb
File Type: pdf
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5. Logic and Knowledge Representation  :   
Knowledge representation, KR using predicate logic, KR using rules . 
logicandkr.pdf
File Size: 8178 kb
File Type: pdf
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6. Logic Programming with Prolog
Introducing the declarative programming language Prolog, Applications of Prolog  in the area of artificial intelligence, Swi Prolog Programming (Basics, Lists, Arithmetics, Operators, cuts etc)




7. Planning and uncertainty





8. Machine Learning
prolog.pdf
File Size: 2454 kb
File Type: pdf
Download File
Summary of Resources
Evaluation
Attendance and participation - 5 marks
Quizzes - 15 marks
Assignments - 20 marks
Exam - 60 marks