Session
Duration:
Commitment: 4 Hours per week.
Language : English
Course Format : Self-paced learning
What will you learn
This course covers the introductory concepts of Artificial Intelligence, inherent challenges in developing an Intelligent System, key paradigms of AI, core techniques and technologies.
This course is covered in around 40 lectures and would include the following areas of learning:

Introduction to AI and intelligent agents
Problem Solving by Searching, heuristic search techniques and other methods
Game Playing
About this Course
This course provides videos lectures for the students and the teachers, to furnish them with adequate knowledge in the field of Artificial Intelligence and its applications, challenges, paradigms and developing an Artificial Intelligent System.

This course will help the participants to learn the concepts of AI covering areas like heuristic search, Game playing, Knowledge and Reasoning, Planning, Learning, Natural Language Processing, gradually working out to an expert system.

The video tutorials will be an effective medium for self paced, hand holding for effective learning.

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Who would benefit?
This course has been designed for the students and teachers of the Computer Science & Engineering department associated with Artificial Intelligence.

Since this course is just the stepping stone to the vast field of AI, it can help the aspirants to be familiarized with the concepts of Artificial Intelligence and its role in the fields of Science & Engineering.

Course Syllabus
This course comprises of 8 modules (40 sessions each of 1 hour duration):

01
MODULE
Introduction
Introduction to AI and intelligent agents.
02
MODULE
Problem Solving
Solving Problems by Searching, heuristic search techniques, constraint satisfaction problems, stochastic search methods.
03
MODULE
Game Playing
Minimax, alpha-beta pruning.
04
MODULE
Knowledge Representation
Building a Knowledge Base: Propositional logic, first order logic, situation calculus. Theorem Proving in First Order Logic.
05
MODULE
Planning
Planning problems and algorithms to solve, partial order planning.
06
MODULE
Reasoning
Uncertain Knowledge and Reasoning, Fuzzy Reasoning, Probabilities, Bayesian Networks.




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[ Article by: team tosscall ]