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
