CSC 562
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Week # |
Topic |
Details |
Remarks |
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1 (29-01-2012) |
Introduction to AI (1/2) |
Introduction Definitions Breakthroughs and History |
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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. |
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3 (12-02-2012) |
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4 (19-02-2012) |
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5 (26-02-2012) |
Constraint Satisfaction (1) |
Theory and Examples |
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6 (04-03-2012) |
Game Playing (2) |
Adversarial Search Min-max Alpha Beta Pruning Game of Chance |
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7 (11-03-2012) |
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8 (18-03-2012) |
First order Logic (1) |
Introduction Logical Reasoning Prepositional Logic |
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9 (25-03-2012) |
Learning (2) |
Evidence based Learning Enforcement Learning |
H/w 2, will be assigned on 18-03-2012, to be submitted before 01-04-2012. |
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10 (01-04-2012) |
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11 (08-04-2012) |
Mid-Term |
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12 (15-04-2012) |
Probability and Bayesian Networks (1 ½) |
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H/w 3, will be assigned on 22-04-2012, to be submitted before 28-04-2012. |
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13 (22-04-2012) |
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14 (29-04-2012) |
NLP and Probabilistic language Processing (1 ½) |
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15 (06-05-2012) |
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16 (13-05-2012) |
Presentations (1) |
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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.
- Forecasting of Initiatives by using Stock Exchanges data on a Neural network
- How Artificial Life can be better simulated?
- Comparative study of the Evaluation Functions for ‘Go’ game
- The students are also encouraged to suggest a topic of interest not later than 12-02-2012.
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Activity |
Completion Date |
Outcome |
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Allocation of Topic |
15-02-2012 |
Abstract |
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Literature Survey |
20-03-2012 |
Introduction , State of art (shortcomings of the present techniques) and References |
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Improvements |
01-04-2012 |
How the existing models/ techniques can be improved |
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Simulation (or Dry run) |
15-04-2012 |
Simulation or Algorithmic results |
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Paper Presentation |
13-05-2012 |
Complete Paper |