MIME-Version: 1.0 Content-Location: file:///C:/5F1AD630/COMP4400.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Department of Computer Science

TUS

COLLEGE<= /st1:PlaceType> OF ENGINEERING, TECHNOLOGY & COMPUTER SCIENCE

DEPARTMENT OF COMPUTER SCIENCE=

 

COURSE DESCRIPTION FOR Comp 4400 (Artificial Intelligenc= e)

 

COURSE OBJECTIVES AND COMPETENCY

= 1.&n= bsp;        AI techniques for knowledge representing, manipulating and reasoning.&= nbsp;

= 2.&n= bsp;        Familiar with the algorithms solving typical AI problems.

3.      =    Ability to design and analyze= AI systems.

4.      =    Skill of programming simple AI systems.

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PREREQUISI= TE  COMP3040 (Data Structures) or an equivalent course taken somewhere else.<= /span>

 = ;

DETAILED COURSE OUTLINE  

 

Distribute syllabus, introduce course            =             &nb= sp;            =             &nb= sp;           

Introduction of AI: typical AI tasks and techniques        =      

Knowledge representation, Semantic networks & frames    

Rule-based systems, Reviews of Chapter 2        =             &nb= sp;  

Introduction of expert systems, Desi= gning an expert system

Backward chaining rule-based expert systems        

Reasoning under uncertainty, Case studies

Graph and trees, Breadth first and depth first search

Heuristic Search, State space search techniques

Planning technique, Review of Chapter 4        

Game playing systems,        =             &nb= sp;            =  

Speech recognition        =             &nb= sp;            =        

Syntactic analysis, Pragmatics        =             &nb= sp;   

Ambiguity in language, Generation, Semantics  

Introduction of vision processing, Low-lever processing,        =  

Depth and orientation information, Practical vision systems        =    

Introduction to machine learning and neural networks        =       

Inductive learning: an example           =             &nb= sp;            =             &nb= sp; 

Decision tree induction, Version space learning        =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =            =  

Generic algorithms, neural networks        =             &nb= sp;            =         

Software agent, &n= bsp; Agent and robots        =             &nb= sp;            =           

Course review and wrap up

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