CSC 562

Week #

Topic

Details

Remarks

1 (29-01-2012)

Introduction to AI  (1/2)

Introduction

Definitions

Breakthroughs and History

 

2 (05-02-2012)

Searches & Problem  Formulation (3)

Informed Search

Un-Informed Search

 Problem Formulation examples

H/w 1, will be assigned on 20-02-2012, to be submitted  before 25-02-2012.

3 (12-02-2012)

4 (19-02-2012)

5 (26-02-2012)

Constraint Satisfaction (1)

Theory and Examples

 

6 (04-03-2012)

Game Playing (2)

Adversarial Search

Min-max

Alpha Beta Pruning

Game of Chance

 

7 (11-03-2012)

 

8 (18-03-2012)

First order Logic (1)

Introduction

Logical Reasoning

Prepositional Logic
Proof methods

 

9 (25-03-2012)

Learning (2)

Evidence based Learning
Statistical Learning

Enforcement Learning

H/w 2, will be assigned on 18-03-2012, to be submitted before 01-04-2012.

10 (01-04-2012)

11 (08-04-2012)

Mid-Term

 

12 (15-04-2012)

Probability and Bayesian Networks (1 ½)

 

H/w 3, will be assigned on 22-04-2012, to be submitted before 28-04-2012.

13 (22-04-2012)

14 (29-04-2012)

NLP and Probabilistic language Processing (1 ½)

 

 

15 (06-05-2012)

 

16 (13-05-2012)

Presentations (1)

 

 

Topics                                                                                                                                                                                  

 

Home Work

HW1: To Formulate a search problem

HW2: Using the NN Toolbox of Matlab to train a Multilayer Perceptron on given set of target values. (Matlab).

HW3: Develop a Baysian solution of the problem presented in HW #2 by using either Matlab or Java.

Research Project

The students will perform an extensive research activity that will lead them to production of original research papers based on the learning from course and related material in the following area of research.

  1. Forecasting of Initiatives by using Stock Exchanges data on a Neural network
  2. How Artificial Life can be better simulated?
  3. Comparative study of the Evaluation Functions for ‘Go’ game
  4. The students are also encouraged to suggest a topic of interest not later than 12-02-2012.

Activity

Completion Date

Outcome

Allocation of Topic

15-02-2012

Abstract

Literature Survey

20-03-2012

Introduction , State of art (shortcomings of the present techniques) and References

Improvements

01-04-2012

How the existing models/ techniques can be improved

Simulation  (or Dry run)

15-04-2012

Simulation or Algorithmic results

Paper Presentation

13-05-2012

Complete Paper

 

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