Course Details
Subject {L-T-P / C} : CS6412 : Artificial Intelligence { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Anup Nandy
Syllabus
Module 1 : |
Introduction: What is AI, The Foundations of Artificial Intelligence, A brief history of AI, The State of the Art.
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Course Objective
1 . |
To explore the full breadth of the field, which encompasses logic, perception, reasoning, learning, and action. |
2 . |
To introduce core AI Ideas and its coverage of Web search and information extraction, and of techniques for learning from very large data sets. |
3 . |
To discuss important applications of AI technology, such as the widespread deployment of practical speech recognition, machine translation, autonomous vehicles, and household
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4 . |
To cover theoretical progress, particularly in areas such as probabilistic reasoning, machine learning, and Robotics. |
Course Outcome
1 . |
After completing this course the student must demonstrate the knowledge and ability to:
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Essential Reading
1 . |
E. Rich and K. Knight, Artificial Intelligence, Tata McGraw Hill |
2 . |
N. J. Nilsson, Principles of Artificial Intelligence, Narosa |
Supplementary Reading
1 . |
S. Russel and P. Norvig, Artificial Intelligence: a Modern Approach, Pearson |
2 . |
D. W. Patterson, Introduction to Artificial Intelligence and Expert Systems, Prentice Hall of India |