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SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN Course Code Course Title Semester Course Time : : : : CS0543 KNOWLEDGE BASED SYSTEM DESIGN I JUL – DEC 2012 B A Day Hour Timing Hour Timing Day1 Day2 Day3 Day4 Day5 Location : S.R.M.E.C – TECH PARK Faculty Details Sec. Name Elective S.Ganesh Kumar Office TP Office hour Monday-Friday 8.45-4.00 Mail id [email protected] 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 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. 1 3 DATE As per calendar As per calendar TEST TOPICS DURATION Cycle Test - I Unit I & II 2 periods 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. 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 on No. Topics to be covered Time (min) Ref Teaching Method Testing Method Open discussion, 1 Introduction To Knowledge Engineering 50 T1, T2 BB+PPT 2 The Human Expert And Artificial Expert 50 T1,T2 BB T1,T2 BB 50 T1 BB Group discussion Quiz Discussion,Quiz 50 T1,T2 BB+PPT Group discussion, Quiz T1 BB+PPT Quiz T1 T1 BB+PPT BB T1 BB+PPT Quiz, Assignment Group discussion Quiz Group discussion, Q&A session 3 4 Knowledge Base And Inference Engine Knowledge Acquisition Theoretical analyses of Knowledge Acquisition 5 50 6 Knowledge Acquisition methods 50 7 Knowledge Representation Strips 50 8 9 MYCIN 50 50 Quiz Quiz Problem Solving Process Problem Solving Process: Rule Based Systems – Heuristic Classifications – Constructive Problem Solving 10 Rule Based Systems Discussion,Quiz 50 T1 BB+PPT 50 T1 BB+PPT T1 BB+PPT T1 BB+PPT Group discussion Quiz BB Group discussion Quiz Discussion, Quiz 11 12 13 14 Rule Based Systems Architecture Heuristic Classifications Classifications problem solving MUD and MORE 50 50 50 T1 Discussion,Quiz Constructive Problem Solving 50 15 T1 BB+PPT Q&A session T1 BB,PPT Quiz, Assignment 50 T1 BB 50 T1 BB+PPT Case study:R1/XCON 16 17 18 50 Construction Strategies An Architecture for planning and meta planning Quiz Group discussion 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 Overview of expert system tools 20 T1 BB+PPT T1 BB Group discussion ,Quiz Quiz, 50 Case Based Reasoning 21 T1 BB,PPT Group discussion Quiz T1 BB,PPT Group discussion Quiz BB Group discussion Quiz BB Brain storming Quiz 50 Case Based Reasoning 22 50 Semantic Of Expert Systems 23 T1 50 T1 24 Modeling Of Uncertain Reasoning 50 Brain storming 25 26 Applications Of Semiotic Theory Designing For Explanation 50 50 27 Frame based explanation 50 T1 T1 T1 BB BB+PPT Objective type test BB Group discussion Expert System Architectures - High Level Programming Languages – Logic Programming For Expert Systems T1 30 Expert System Architectures 50 BB+PPT Assignment 50 T1 BB + PPT Assignment 31 High Level Programming Languages 32 Potential implementation problems 50 33 50 Logic Programming T1 T1 PPT PPT Group discussion Group discussion 34 PROLOG 50 T1 PPT 35 Potential implementation problems 50 50 T1 T1 BB+ PPT BB+ PPT 36 Logic Programming For Expert Systems Group discussion Quiz Quiz Machine Learning – Rule Generation And Refinement –Learning Evaluation – Testing And Tuning 37 38 39 40 41 42 43 44 45 Machine Learning DENDRAL Rule Generation And Refinement Building decision trees The structure of decision trees The ID3 algorithm Changes and additions Testing Tuning 50 50 50 50 50 50 50 50 50 T1 T1 T1 T1 T1 T1 T1 T1 T1 BB PPT PPT BB BB BB+PPT BB+PPT PPT PPT Quiz Group discussion Brain storming Discussion Discussion Discussion Brain storming Discussion Discussion BB-Block Board, PPT-Power Point Presentation. Date: Signature of HOD