Artificial Intelligence 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 is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course, the students will be able to:
- Explain the concept of Artificial Intelligence and the significance of Intelligent Agents in AI.
- Apply Mathematical logic for knowledge representation of AI
- Practice various search techniques in AI
- Describe learning and expert systems.
Module 1:
Introduction to AI-AI concepts, Foundations of AI, Applications of AI -Language models – Information retrieval – Information extraction – Natural language processing – Machine translation – Speech recognition, Turing test. AI Problems: Water Jug problem, Tower of Hanoi problem, Four-Queens problem, Travelling Salesman problem Intelligent Agents-Agents and Environments, Structure of Agent – types of agents.
Module 2:
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Module 3:
Uninformed Search: Breadth First Search, Depth First Search Informed Search: Heuristic Search – Best first search, Hill Climbing, A* algorithm Beam Search Finding optimal paths -Branch & bound, Divide & Conquer approaches Problem Decomposition: Goal Trees, AO*, Rule Based System. Game Playing: Minimax Algorithm, AlphaBeta Algorithm.
Module 4:
Planning and Constraint Satisfaction: Domains, Forward and Backward Search, Goal Stack Planning, Plan Space Planning, GraphPlan, Constraint Propagation. Expert Systems:Definition – Features – Architecture – Characteristics – Prospector – Knowledge Representation in expert systems – Expert system tools – MYCIN – EMYCIN.
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Online Resources
- https://www.tutorialspoint.com/virtualization2.0/index.htm
- https://onlinecourses.swayam2.ac.in/aic20_sp06/preview
- https://onlinecourses.swayam2.ac.in/arp19_ap79/preview
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.