Artificial Intelligence Lab detailed syllabus for Artificial Intelligence & Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Artificial Intelligence & Machine Learning students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Artificial Intelligence & Machine Learning 3rd Sem scheme and its subjects, do visit Artificial Intelligence & Machine Learning (AM) 3rd Sem 2021 revision scheme. The detailed syllabus of artificial intelligence lab is as follows.
Course Objectives:
- Students will be able to solve basic and application level problems in Artificial Intelligence.
Course Outcomes:
On completion of the course, the student will be able to:
- Develop solutions to basic problems in AI using Prolog.
- Implement solutions to different AI algorithms using Python
- Implement different AI problems using Python
- Open Ended Experiment
Module 1:
- Practice installation of Prolog
- Write simple facts for the statement using Prolog
- Implement simple arithmetic in Prolog
Module 2:
- Solve any mathematical problem using DFS
- Solve any mathematical problem using BFS
- Demonstrate A* algorithm
- Demonstrate Hill Climbing algorithm
Module 3:
- Implementation of Tower of Hanoi
- Solve four-queen’s problem.
- Implement Travelling Salesman Problem
- Implement a water-jug problem
Suggested Open Ended Experiments
(Not for End Semester Examination but compulsory to be included in Continuous Internal Evaluation. Students can do open-ended experiments as a group of 2-3. There is no duplication in experiments between groups. )
- Solve any of the following AI problems
- Eight puzzle problem
- Eight Queens Problem
- Chess Problem
- Cryptarithmetic Puzzles
- Implement any one of the following Expert system like MYCIN , E MYCIN etc
- Information management
- Hospitals and medical facilities
- Help desks management
- Employee performance evaluation
- Stock market trading
Text Books:
- S. Russell and P. Norvig, “Artificial Intelligence: A Modern Approach, Prentice Hall, Third Edition, 2009..
- Artificial Intelligence: A Modern Approach, 4th Edition, Stuart Russell, peter Norvig University of California at Berkeley, Pearson education, 2020.
- I. Bratko, Prolog: Programming for Artificial Intelligence, Fourth Edition, Addison-Wesley Educational Publishers Inc., 2011
- M. Tim Jones, Artificial Intelligence: A Systems Approach (Computer Science),
- Jones and Bartlett Publishers, Inc.; First Edition, 2008
- Nils J. Nilsson, The Quest for Artificial Intelligence, Cambridge University ,2009
Online Resources
- An Introduction to Artificial Intelligence – Course (nptel.ac.in)
- Fundamentals Of Artificial Intelligence – Course (nptel.ac.in)
For detailed syllabus of all other subjects of Artificial Intelligence & Machine Learning (AM), 2021 revision curriculum do visit Artificial Intelligence & Machine Learning 3rd Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Artificial Intelligence & Machine Learning (AM) of diploma 2021 revision curriculum do visit SITTTR diploma Artificial Intelligence & Machine Learning (AM) results..
For all Artificial Intelligence & Machine Learning academic calendars, visit Artificial Intelligence & Machine Learning all semesters academic calendar direct link.