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SRM UNIVERSITY
FACULTY OF ENGINEERING AND TECHNOLOGY
SCHOOL OF COMPUTING
DEPARTMENT OF CSE
COURSE PLAN
Course Code : CS0543
Course Title : KNOWLEDGE BASED SYSTEM DESIGN
Semester : I
Course Time : JUL DEC 2012
Day A B
Hour Timing Hour Timing
Day1
Day2
Day3
Day4
Day5
Location : S.R.M.E.C TECH PARK
Faculty Details
Sec. Name Office Office hour Mail id
Elective S.Ganesh Kumar TP Monday-Friday
[email protected] 8.45-4.00
Text Books 1. Peter Jackson, Introduction to Expert Systems, 3rd
Edition, Pearson Education 2007 2. Robert I. Levine, Diane E.
Drang, Barry Edelson: AI and Expert Systems: a comprehensive guide,
C language, 2nd edition, McGraw-Hill 1990 3. Jean-Louis Ermine:
Expert Systems: Theory and Practice, 4th printing, Prentice-Hall of
India , 2001
Reference Book 1. Stuart Russell, Peter Norvig: Artificial
Intelligence: A Modern Approach,2nd Edition, Pearson Education,
2007 2. N.P.Padhy: Artificial Intelligence and Intelligent
Systems,4th impression , Oxford University Press, 2007
Objectives
To understand the concepts of Knowledge Based System Design To
understand the components of Knowledge Based Systems To understand
the issues and approaches in Knowledge Based System Design
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Assessment Details
Attendance : 5 Marks
Cycle Test I : 20 Marks
Surprise Test I : 10 Marks
Quiz : 5 Marks
Model Exam : 20 Marks
Term Paper : 10 Marks
Test Schedule
S.No.
DATE
TEST TOPICS DURATION
1 As per calendar Cycle Test - I Unit I & II 2 periods
3 As per calendar Model Exam All 5 units 3 Hrs
Outcomes
This course will provide an understanding the concepts of
Knowledge Based System Design the components of Knowledge Based
Systems , approaches in Knowledge Based System Design.
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Detailed Session Plan
Introduction To Knowledge Engineering:
Introduction To Knowledge Engineering : The Human Expert And An
Artificial Expert Knowledge Base And Inference Engine Knowledge
Acquisition And Knowledge Representation
Sessi Time Teaching
on Topics to be covered Ref Testing Method (min) Method No.
1
50 T1, T2 BB+PPT Open discussion,
Introduction To Knowledge Engineering Quiz
2 The Human Expert And Artificial Expert 50 T1,T2 BB Quiz
3 Knowledge Base And Inference Engine 50 T1,T2 BB Group
discussion Quiz
4 Knowledge Acquisition 50 T1 BB Discussion,Quiz
5
Theoretical analyses of Knowledge Acquisition
50 T1,T2 BB+PPT Group discussion, Quiz
6
50 T1 BB+PPT Quiz
Knowledge Acquisition methods
7 Knowledge Representation 50 T1 BB+PPT Quiz, Assignment
Strips 50 T1 BB Group discussion 8 Quiz
9 MYCIN 50 T1 BB+PPT Group discussion, Q&A session
Problem Solving Process
Problem Solving Process: Rule Based Systems Heuristic
Classifications Constructive Problem Solving
10 Rule Based Systems 50 T1 BB+PPT Discussion,Quiz
11
Rule Based Systems Architecture 50 T1 BB+PPT Discussion,
Quiz
12 Heuristic Classifications 50 T1 BB+PPT Discussion,Quiz
13 Classifications problem solving 50 T1 BB+PPT Group discussion
Quiz
14 MUD and MORE 50 T1 BB Group discussion Quiz
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15
Constructive Problem Solving 50 T1 BB+PPT Q&A session
Case study:R1/XCON
T1 BB,PPT Quiz,
16
50
Assignment
17 Construction Strategies 50 T1 BB Quiz Group discussion
18 An Architecture for planning and meta planning 50 T1
BB+PPT
Quiz, Group discussion
Tools For Building Expert Systems - Case Based Reasoning
Semantic Of Expert Systems Modeling Of Uncertain Reasoning
Applications Of Semiotic Theory; Designing For Explanation
19 Tools For Building Expert Systems 50 T1 BB+PPT Group
discussion ,Quiz
20 Overview of expert system tools
50 T1 BB Quiz,
Group discussion
21 Case Based Reasoning
50 T1 BB,PPT Quiz
Group discussion
22 Case Based Reasoning
50 T1 BB,PPT Quiz
Group discussion
23 Semantic Of Expert Systems
50 T1 BB Quiz
Brain storming
24
50 T1 BB Quiz
Modeling Of Uncertain Reasoning Brain storming
25 Applications Of Semiotic Theory 50 T1 BB 26 Designing For
Explanation 50 T1 BB+PPT Objective type test
27 Frame based explanation 50 T1 BB Group discussion
Expert System Architectures - High Level Programming Languages
Logic Programming For Expert Systems
T1
30 Expert System Architectures 50
BB+PPT
Assignment
31 High Level Programming Languages 50 T1 BB + PPT
Assignment
32 Potential implementation problems 50 T1 PPT Group
discussion
33 Logic Programming 50 T1 PPT
Group discussion
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34 PROLOG 50 T1 PPT Group discussion
35 Potential implementation problems 50 T1 BB+ PPT Quiz
36 Logic Programming For Expert Systems 50 T1 BB+
PPT
Quiz
Machine Learning Rule Generation And Refinement Learning
Evaluation Testing And Tuning
37 Machine Learning 50 T1 BB Quiz
38 DENDRAL 50 T1 PPT Group discussion
39 Rule Generation And Refinement 50 T1 PPT Brain storming
40 Building decision trees 50 T1 BB Discussion
41 The structure of decision trees 50 T1 BB Discussion
42 The ID3 algorithm 50 T1 BB+PPT Discussion
43 Changes and additions 50 T1 BB+PPT Brain storming
44 Testing 50 T1 PPT Discussion
45 Tuning 50 T1 PPT Discussion
BB-Block Board, PPT-Power Point Presentation.
Date: Signature of HOD
