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Guidelines_English_Final
تحميل الدليل التدريبي

أسئلة شائعة



Artificial Intelligence

CAP 492

Spring 2008


 
Course title: Artificial Intelligence
Instructor: Dr. Souham Meshoul
Credit hours: 3
Prerequisites: CSC 212
Goals of the course:  Artificial Intelligence (AI) is a universal field that is relevant to any sphere of human intellectual activity.  In computer science, it is the branch that aims to systematize and automate intellectual tasks. The goal of this course is to give students a basic and solid understanding of various fundamental topics in AI such as searching, knowledge representation and reasoning. As it is not possible to cover the entire range of AI sub-areas in detail, the course will survey several key themes.  Students are also expected to relate what they will learn in class to what impacts AI is making to society
 
 
 
Recommended Text books:
  • S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, (2nd Edition) Prentice-Hall 2003.
  • N. Nilson,  Artificial Intelligence, A New Synthesis , Morgan Kaufmann, 1998.
 
Grading Policy
 
The weightage (tentative) in final grade to midterms, home works etc. is as follows:
 
  Home works, projects and quizzes: 30 points
 
  Midterm exams:                             30 points
 
  Final exam:                                    40 points
 
 
Midterm 1: 29  March 2008,           Exam - solution 
 
Midterm 2: 20  May    2008,           Exam - solution   
 
 
Final Exam: 14 July 2008,                 Exam - Solution
 
                                      There are marks for classroom participation.
 
 
Students Grades:
 
 
 
Chapters 
 

 

 
Assignments
 
  1. Sheet2: Blind search
 
Exams - Solutions
 
  • Final
 
Additional Information
 
Schedule
 
 
 
Week No
Topics
1
Introduction to Artificial Intelligence
2,3
Problem Solving by searching ( Part 1)
         Uninformed search
4,5
Problem Solving by searching ( Part 2)
        Informed search
6,7
Constraint satisfaction problems
8,9
Adversarial search in game playing
10,11
Knowledge representation and reasoning 1: Propositional logic
12
Knowledge representation and reasoning 2:
           First order logic
13,14
Expert systems
15
Programing for artificial intelligence: PROLOG
 

 

 
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