SRM UNIVERSITY FACULTY OF ENGINEERING AND ...

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Course Title : Artificial Intelligence and Intelligent Systems. Semester ... Communication – Perception. 6. Vision. 50. 5. PPT. Group discussion. 7. Recognizing ...
SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN Course Code Course Title Semester Course Time

: CS0541 : Artificial Intelligence and Intelligent Systems : Ist Semester (M.Tech KE) : Sep –Dec 2012

Time Table: DAY 1 2 3 4 5

HOUR 1

TIMING 8.45-9.35

5,6 (Lab) 1,2 3

1.30-3.10 8.45-10.35 10.35-11.25

Location : S.R.M.E.C – Tech Park Faculty Detail: CLASS

NAME

OFFICE

OFFICE HOUR

MAIL ID

M.Tech Knowledge Engineering

Mrs.S.Priya

Tech Park 8th Floor

MondayFriday

[email protected]

TEXT BOOKS: 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 3. Elaine Rich, Kevin Knight: “ Artificial Intelligence” 2nd Edition, Tata McGraw-Hill, 2006 4. Patrick Henry Winston: “Artificial Intelligence” 3rd Edition, Pearson Education, 2004 5. Eugene Charniak, Drew McDermott: “Introduction to Artificial Intelligence”, Pearson Education 2004

REFERENCE BOOKS: 1. Peter Jackson, ”Introduction to Expert Systems”, 3rd Edition, Pearson Education 2007 2. Patrick Henry Winston,Bartbold Klaus,Paul Horn: “LISP” 3rd Edition,Pearson Education 3. Ivan Bratko: “Prolog:Programming for Artificial Intelligence”,Pearson Education OBJECTIVES • •

To provide a strong foundations of fundamental concepts in Artificial Intelligence To get familiar with the various applications of these techniques in Intelligent Systems.

ASSESSMENT DETAILS: Announced Quiz Unannounced Quiz Cycle Test – I Cycle Test – II Final Theory Final Practical Term Paper/Thesis

: 10 marks : 10 marks : 10 marks : 10 marks : 30 marks : 20 marks : 10 marks

TEST SCHEDULE: S.No.

DATE

TEST

1

Cycle Test – I

2

As per the calendar Cycle Test - II

3

Model Exam

TOPICS

DURATION

Unit I & II

2 periods

Unit III & IV

2 periods

All 5 units

3 Hrs

OUTCOMES: Students who have successfully completed this course will have full understanding of the following concepts Course Outcome Program Outcome Provide a strong foundation of fundamental This Program will give concepts in Artificial Intelligence. comprehensive understanding Intelligence.

students a of Artificial

Learn about various application and techniques Intelligent systems in the context of Knowledge of Intelligent Systems. Engineering.

DETAILED SESSION PLAN: Session No.

Topics

Time

Ref

Teaching Method

Testing Method

REPRESENTATION OF KNOWLEDGE AND REASONING METHODS: Representation Of Knowledge And Reasoning Methods : Intelligent Agents – Knowledge representation – First Order Logic – Inference In First-Order Logic – AI and Internal Representation

1 2 3 4 5

50 50

1, Ch 2 1, Ch 10

50

1, Ch 8

Inference In First-Order 50 Logic AI and Internal 50 Representation

1, Ch 9

PPT PPT

5, Ch 1

BB

Intelligent Agents Knowledge representation First Order Logic

PPT PPT

Quiz Quiz Brain storming Brain storming Discussion

VISUAL PERCEPTION AND LANGUAGE UNDERSTANDING Visual Perception And Language Understanding: Vision – Recognizing Objects – Describing Images – Parsing Language; Learning And Communication - Learning From Observations – Knowledge In Learning – Statistical Learning Methods – Communication – Perception 6

Vision

50

5

7

Recognizing Objects

50

5, Ch 26

PPT PPT

8

Describing Images

50

5, Ch 27

PPT

9 10

Parsing Language Learning And Communication Learning From Observations Knowledge In Learning Statistical Learning Methods Communication Perception

50 50

5, Ch 4 1

BB

50

1, Ch 22

PPT PPT

50

1, Ch 24

BB

50

1, Ch 18

50 50

1, Ch 19 1, Ch 20

11 12 13 14 15

Group discussion Brain storming Brain storming Discussion Discussion Discussion

Quiz Quiz PPT PPT BB

Quiz Quiz

GAME PLAYING, PLANNING, UNDERSTANDING, COMMON SENSE Game Playing, Planning, Understanding, Common Sense - Advanced Topics: Game Playing, Planning, Understanding, Common Sense 16 17

Game Playing Planning

50 50

5, Ch 9 4, Ch 15

PPT PPT

18

Understanding

50

1

PPT

19

Common Sense

50

4, Ch 10

PPT

Quiz Brain storming Brain storming Brain storming

ABDUCTION, UNCERTAINTY, EXPERT SYSTEMS AND ROBOTICS Abduction, Uncertainty, Expert Systems And Robotics : What Is Abduction? – Acting Under Uncertainty – Defining Expert Systems - Robot Architectures 20 21 22 23

What Is Abduction? Acting Under Uncertainty Defining Expert Systems Robot Architectures

50 50

5, Ch 8 1, Ch 13

PPT PPT

Discussion Discussion

50

5

BB

50

1, Ch 25

PPT

Brain storming Brain storming

PRACTICALS 1. DFS And BFS implementation 2. Game playing : single,two palyers(Using Heuristic Function) 3. A* Algorithm 4. Syntax Checking of English sentences. 5. Develop an Expert system BB-Black Board PPT- Power point