ce00370-1
TRANSCRIPT
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STAFFORDSHIRE UNIVERSITY MODULE DESCRIPTOR 16/6/2006
CE00370-1 2 Valid CurrentCode : Version : A roval Status :
INTRODUCTION TO ARTIFICIAL INTELLIGENCETitle :
Computing, Engineering & Technology CSSE 1Section : Field : Level :
VLE
Blackboard
Credits
15
Pattern Of Delivery
Contact Email
DI BISHTON [email protected]
Contact HourIndependentStudy Hours
Total LearningHours
36 114 150
PatternYearSpan Period Study % Initial Grid
1 1 2 100 Y
SiteCostCentre
Cost Centre Description Subj Subject Description SubjHesaSub %
STAFFORD 25Information Technology andSystems Sciences
G700 Artificial Intelligence 100 100
Contributing Faculty Contrib
Computing, Engineering & Technology 100%
Registration Conditions Module Version Condition Text
Date Approved Date Implemented
24/8/2005 1/8/2005
mailto:[email protected] -
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STAFFORDSHIRE UNIVERSITY MODULE DESCRIPTOR 16/6/2006
CE00370-1 2 Valid CurrentCode : Version : A roval Status :
INTRODUCTION TO ARTIFICIAL INTELLIGENCETitle :
Computing, Engineering & Technology CSSE 1Section : Field : Level :
Learning Outcome
1. EXPLAIN FUNDAMENTAL ARTIFICIAL INTELLIGENCE (AI) CONCEPTS, PRINCIPLES ANDMETHODS
Knowledge &Understanding
2. IMPLEMENT A RANGE OF AI TECHNIQUES AND ANALYSE AND APPLY A SPECIFIC AIMETHOD TO PROBLEM SOLVING.
Analysis
Learning
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STAFFORDSHIRE UNIVERSITY MODULE DESCRIPTOR 16/6/2006
CE00370-1 2 Valid CurrentCode : Version : A roval Status :
INTRODUCTION TO ARTIFICIAL INTELLIGENCETitle :
Computing, Engineering & Technology CSSE 1Section : Field : Level :
Module Details Text lus assessed b
IndicativeContent
This module will cover basic concepts of AI: knowledge representation, problem solving (for example asused in games), search machine, learning, automated receiving and connectionism. Additionally,practicals will introduce AI tools, particularly PROLOG and simulations.
AssessmentDetails
An EXAM length 2 HOURS weighted at 50%. An ASSIGMT weighted at 50%.50% exam - length 2 hours (learning outcome 1)50% assignment (learning outcome 2)
LearningStrategies
Two lectures per week.One practical per week.(1:n)2 (1:20)1
ProspectusInformation
This module will enable the student to acquire a basic understanding of current key Artificial Intelligence(AI) concepts. Areas to be covered will include Knowledge Representation, Problem Solving, Search,Learning and Agents. The student will be expected to demonstrate a basic proficiency in AIproblem-solving methods.
Referring to Text
Russell, S., & Norvig, P. (2003). Artificial Intelligence: a modern approach (Second Edition ed.). NewJersey: Pearson Education, Inc., ISBN: 0-13-080302-2Wooldridge, M. (2002). An Introduction to MultiAgent Systems. Chichester, UK: John Wiley and Sons,ISBN: 0-471-49691-XBratko, I. (1990). Prolog Programming for Artificial Intelligence: Addison-Wesley, ISBN: 0-201-41616-9
AccessingResources
The faculty Bulletin Board system, various computers running a variety of AI software, access to theInternet (including e-books, journals, etc.) and the University library.
SpecialAdmissionsRequirements
None.