SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY

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1 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 Day1 Day2 Day3 A B Hour Timing Hour Timing 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 ganesh.ks@ktr.srmuniv.ac.in Text Books 1. Peter Jackson, Introduction to Expert Systems, 3rd Edition, Pearson Education Robert I. Levine, Diane E. Drang, Barry Edelson: AI and Expert Systems: a comprehensive guide, C language, 2nd edition, McGraw-Hill 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, 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

2 Assessment Details Test Schedule Attendance : 5 Marks Cycle Test I : 20 Marks Surprise Test I : 10 Marks : 5 Marks Model Exam : 20 Marks Term Paper : 10 Marks 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.

3 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 (min) Method No. Testing Method Open discussion, 1 Introduction To Knowledge Engineering, T2 BB+ 2 The Human Expert And Artificial Expert,T2 BB Knowledge Base And Inference Engine,T2 BB 3 4 Knowledge Acquisition BB Discussion, 5 Theoretical analyses of Knowledge Acquisition 6 Knowledge Acquisition methods,t2 BB+ BB+, 7 Knowledge Representation BB+, Assignment Strips BB 8 MYCIN BB+, 9 Q&A session Problem Solving Process Problem Solving Process: Rule Based Systems Heuristic Classifications Constructive Problem Solving 10 Rule Based Systems BB+ 11 Rule Based Systems Architecture BB Heuristic Classifications Classifications problem solving MUD and MORE Discussion, Discussion, BB+ Discussion, BB+ BB

4 15 Constructive Problem Solving BB+ Q&A session Case study:r1/xcon BB,, 16 Assignment 17 Construction Strategies BB An Architecture for planning and meta 18 planning BB+, 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 BB+, Overview of expert system tools Case Based Reasoning Case Based Reasoning Semantic Of Expert Systems 24 Modeling Of Uncertain Reasoning BB, BB, BB, BB Brain storming BB Brain storming 25 Applications Of Semiotic Theory BB 26 Designing For Explanation BB+ Objective type test 27 Frame based explanation BB Expert System Architectures - High Level Programming Languages Logic Programming For Expert Systems 30 Expert System Architectures BB+ Assignment BB + 31 High Level Programming Languages Assignment 32 Potential implementation problems 33 Logic Programming

5 34 PROLOG 35 Potential implementation problems BB+ 36 Logic Programming For Expert Systems BB+ Machine Learning Rule Generation And Refinement Learning Evaluation Testing And Tuning 37 Machine Learning BB 38 DENDRAL 39 Rule Generation And Refinement Brain storming 40 Building decision trees BB Discussion 41 The structure of decision trees BB Discussion 42 The ID3 algorithm BB+ Discussion 43 Changes and additions BB+ Brain storming 44 Testing Discussion 45 Tuning Discussion BB-Block Board, -Power Point Presentation. Date: Signature of HOD