INTRODUCTION TO ARTIFICIAL INTELLIGENCE (18CS753)

 

INTRODUCTION TO ARTIFICIAL INTELLIGENCE

Course Code :18CS753
CIE Marks:40
Number of Contact Hours/Week:3:0:0
SEE Marks:60
Total Number of Contact Hours:40
Exam Hours:03
CREDITS –3

Course Learning Objectives: This course (18CS753) will enable students to:

• Identify the problems where AI is required and the different methods available
• Compare and contrast different AI techniques available.
• Define and explain learning algorithms

Module – 1

What is artificial intelligence?, Problems, Problem Spaces and search TextBook1: Ch 1, 2 RBT: L1, L2

Notes will be uploaded soon

Module – 2

Knowledge Representation Issues, Using Predicate Logic, Representing knowledge using Rules, TextBoook1: Ch 4, 5 and 6. RBT: L1, L2

Notes will be uploaded soon

Module – 3

Symbolic Reasoning under Uncertainty, Statistical reasoning TextBoook1: Ch 7, 8 RBT: L1, L2

Notes will be uploaded soon

Module – 4

Game Playing, Natural Language Processing TextBoook1: Ch 12 and 15 RBT: L1, L2

Notes will be uploaded soon

Module – 5

Learning, Expert Systems. TextBook1: Ch 17 and 20 RBT: L1, L2

Notes will be uploaded soon

Course outcomes: The students should be able to:

• Identify the AI based problems
• Apply techniques to solve the AI problems
• Define learning and explain various learning techniques
• Discuss on expert systems

Question paper pattern:

• The question paper will have ten questions.
• Each full Question consisting of 20 marks
• There will be 2 full questions (with a maximum of four sub questions) from each module.
• Each full question will have sub questions covering all the topics under a module.
• The students will have to answer 5 full questions, selecting one full question from each module.

Text Books:

1. E. Rich , K. Knight & S. B. Nair - Artificial Intelligence, 3/e, McGraw Hill.

Reference Books:

1. Artificial Intelligence: A Modern Approach, Stuart Rusell, Peter Norving, Pearson Education 2nd Edition.
2. Dan W. Patterson, Introduction to Artificial Intelligence and Expert Systems – Prentice Hal of India. 
3. G. Luger, “Artificial Intelligence: Structures and Strategies for complex problem Solving”, Fourth Edition, Pearson Education, 2002. 
4. Artificial Intelligence and Expert Systems Development by D W Rolston-Mc Graw hill. 5. N.P. Padhy Artificial Intelligence and Intelligent Systems” , Oxford University Press-2015