Old Website
Toggle Side Panel
Close search

23CAE711 – ARTIFICIAL INTELLIGENCE

By yuvarani Categories: MCA, SNSCT
Wishlist Share

About Course

23CAE711 ARTIFICIAL INTELLIGENCE

COURSE OBJECTIVES:

  • Gain Basic knowledge representation, problem solving, and learning methods of Artificial Intelligence
  • Develop intelligent systems by assembling solutions to concrete computational problems

COURSE OUTCOMES:

  • CO1 Knowledge on problem Solving Approach to apply on typical AI problems
  • CO 2 Apply appropriate AI techniques to real-world problems to develop intelligent systems.
  • CO 3 Provide different agents strategy for solving AI problems
  • CO 4 Develop the functions for software agents by understanding its architecture
  • CO 5 Design AI based Application using latest trends wide range of techniques

Course Content

Syllabus

Lecture Notes

UNIT 1 – INTRODUCTION

UNIT 2 – INVESTIGATIVE SMART PRACTICES

UNIT 3 – LAWS AND PRIVACY CONCERNS

UNIT 4 – DATA ACQUISITION AND REPORT WRITING

Student Ratings & Reviews

No Review Yet
No Review Yet
screen tagSupport

Report

Harassment or bullying behavior
Contains mature or sensitive content
Contains misleading or false information
Contains abusive or derogatory content
Contains spam, fake content or potential malware

Block Member?

Please confirm you want to block this member.

You will no longer be able to:

  • See blocked member's posts
  • Mention this member in posts
  • Invite this member to groups
  • Message this member
  • Add this member as a connection

Please note: This action will also remove this member from your connections and send a report to the site admin. Please allow a few minutes for this process to complete.

Report

You have already reported this .