INTRODUCTION TO ARTIFICIAL INTELLIGENCE
MAY 2021
LECTURER: DR. RAMANI KANNAN
Active Learning class/ Seminar topics
Group
Topics
Mode of
presentation
Date of
presentation
1
Introduction to AI and its Applications
Adaptive Networks, Supervised Learning
Neural Networks, Adaline and madaline
neural network.
Case study if any
Unsupervised Learning and Other Neural
Networks: Competitive Learning NetworksKohonen Self-Organizing Networks- Learning
Vector Quantization-Hebbian Learning
Animations and
09-06-2021
Wednesday,
2
The Hopfield Network: Binary Hopfield
Networks- Traveling Salesperson Problem
and The Boltzmann Machine.
Case study if any related to real world
applications.
Poster, Video, and
power points
8.15 am to 4.45
am
Flash card and poster, 09-06-2021
power points
Wednesday
Online quiz minimum 9.00 am to 9.30
5-10 questions
am