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Course Code: CSC 361
Course Title: Artificial Intelligence
Credit Hours: 3(3,0,1)
Lecture Time: 1:0 - 3:0 Sunday & 1:0 - 3:0 Tuesday
Pre-requisites: CSC 212
Course Description:
This course provides a general introduction to AI (Artificial Intelligence): Its techniques and its main sub-fields. It gives an overview of underlying ideas, such as search, knowledge representation, expert systems and learning.
Course Objective:
The objective of the course is to enable students to learn about the tools and techniques for understanding and applying their knowledge to solve real world problems. The course will focus on sharpening the practical skills of the students alongwith providing them the theoratical knowledge.
Syllabus (Course in Progress)
Recommended Books
1. “Artificial Intelligence: A modern approach”
Stuart Russell, Peter Norvig, Prentice Hall, 2003 (new edition 2006)
2. "Artificial Intelligence - Structures and Strategies for Complex Problem Solving", George F. Luger, Pearson Internationl Edition, 2009
3. “Artificial Intelligence Illuminated”
Ben Coppin, Jones and Bartlett Publishers, 2004
4. “Artificial Intelligence: A new synthesis”
Nils Nilsson, Morgan Kaufmann, 1998
5. “Introduction to expert systems”
Peter Jackson, Addison Wesley, 1999
6. Lecture slides and your lecture notes!
Grading
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Exam |
Score Ratio |
Time |
Place |
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MedTirm1 |
15% |
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CCIS Building, Room # 30 |
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MedTirm2 |
15% |
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CCIS Building, Room # 30 |
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Final exam |
40% |
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|
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Homework, Quizzes, Project |
30% |
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CCIS Building, Room # 30 |
Tutorials & Project (Previous Semesters-2010)
1. Course project
2. Problem Formulation:  Assignment, Solution
3. Blind Search : Assignment,  Solution
4. Heuristic Search : Assignment, Solution, Assignment2
5. Optimization: Assignment, Solution
6. Constraint Satisfaction Problems: Assignment, Solution
7. Game Playing
8. Knowledge Representation & Expert System: Assignment, Solution
9. Prolog language and Samples
10. Machine Learning: Assignment, Solution
Homework (Previous Semester-2010)
1- Record Blog. , and eCorrect site Service
2-  Assignment2
3- Assignment3
4-Assignment4
5-Assignment5
6-Assignment6
Exams - Solutions
Old Exams
- Midterm-1 (Question Paper and Solution) Part1 Part2 (Nov 2010)
- Midterm-2 (Question Paper and Solution) part1 part2 (Dec 2010)
- FINAL EXAM: Exam - Solution
MIDTERM I: Exam - Solution
- FINAL EXAM: Exam - Solution
Office Hours
Monday 9:00 am ------ 11:00 am
Tuesday 9:00 am ------- 10:00 am
Selected Topics for Presentation
- Problem Solving Using AI Techniques: TSP, N-Queens, 8-Puzzle ...
- Computers playing games (Chess, Checkers, BackGammon ...)
- Swarm Intelligence and Problem Solving
- Artificial Immune System and Security
- Datamining (knowledge Discovery)
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