Artificial Intelligence-BSC.IT

VISHAWJYOTI RATHEE
ARUN KUMAR
Last Update August 27, 2021
1 already enrolled

About This Course

Understand the basic concepts of Artificial Intelligence techniques.

Interpret the problem as a state space, graph, design heuristics and select amongst different search or game based techniques to solve them.

Examine knowledge representation and rule-based systems.

Examine various AI search algorithms.

Learning Objectives

Learner will able to Apply artificial intelligence techniques in problem solving.
Learner will able to Assess the need and justification of Expert systems and neural networks.
Learner will able to Assess critically the Artificial Intelligence techniques presented and apply them to real world problems.

Target Audience

  • Students, learners and Faculty members.

Curriculum

43 Lessons90h

Introduction to Artificial Intelligence

Used to understand scope and basics of AI
Introduction to AI10:24Preview
Foundations, scope, problems, characteristics, examples and approaches of AI00:00:00Preview
Historic Development-300:00:00
Assignment-1
Assignments 13

Application Areas of Artificial Intelligence

uses of AI in various fields

Advantages and Disadvantages of AI

Prons and Cons of Artificial Intelligence

AI Search Techniques

introduce and implementation of Adhoc and Heuristic Search Techniques

Problem, Problem Space and Search

Interpret the problem as a state space, graph, design heuristics and select amongst different search or game based techniques to solve them.

Blind search techniques

these are uninformed search techniques

Knowledge Representation

Reasoning and Game Playing

Expert Systems & Natural Language Processing

Machine Learning and Neural Networks

Your Instructors

VISHAWJYOTI RATHEE

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ARUN KUMAR

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