Download CS-532, Intelligent Computing, Mian M. Awais

CS 531/CMPE 531 : Intelligent Computing
Instructor’s Name:
Office No. & Email:
M. M. Awais
402, [email protected]
Office Hours:
TBA
TA for the Course:
TBA
Year:
2009-2010
Quarter:
Winter
Category:
Graduate
Course Code
(Units)
CS 531/CMPE 531 : Intelligent Computing
(3 Credit Hrs)
Course
Description
This course will cover advance topics in artificial intelligence (AI), their scope and
application domain. The emphasis will be on bio-inspired AI techniques.
Core/Elective
Elective
Pre-requisites
Graduate Standing.
Goals
1. To cover principles of AI methods.
2. To equip students with the developments, justifications, implementation, and
use of latest AI based methods from application prospective.
3. To provide an opportunity to students to learn methods most useful under
complex computational uncertain, and vague situations.
TextBooks,
Programming
Environment,
etc.
A. Artificial Intelligence: Structures and Strategies for Complex Problem
Solving. (George F. Luger, and William A. Stubblefield).
B. Mathematical Methods in Artificial Intelligence. (Edward A. Bender).
C. Principals of Artificial Intelligence and Expert Systems Development.
(David W. Rolston)
D. Introduction to AI and Robotics (Robin R. Murphy)
Lectures
Two Sessions of 75 Minutes each
Grading
Assignments/Projects
Quizzes/Mini-Tests
Mid-Term Exam/Term Test
Final Exam
20%
20%
30%
30%
CS 531/CMPE 531: Artificial Intelligence
Year:
Quarter:
Module
1
Topics

Introduction
2
 Knowledge Representation
3
Sessions
1
2009-2010
Winter
Readings
Handouts
2,3
Handouts
 Statistical Learning
4,5,6,7
Handouts
4
 Case Based Reasoning
8,9,10
Handouts
5
 Evolutionary Algorithms
12,13,14
Handouts
6
 MIDTERM
7
 Language and Speech Processing
8
 Robotics and AI
9
 Multi-agent Systems
10
 Revision
15
16,17,18
19
20,21,22,
23
24,25,26
27,28
Handouts
Handouts
Handouts