Prof. G Sivakumar
Course Description :
The course was a basic introduction to AI techniques and algorithms. The topics included Search :
- Minimax
- Alpha Beta pruning
- A* Search
Logic :
- First Order Logic
- Propositional Logic
- Resolution
- Prolog
Probabilistic models :
- Bayesian networks
- HMM
- Neural Networks
The course had an associated lab with it, which had assignments to be coded in Prolog.
This also had 2 projects - one to write an AI for Planet Wars (Galcon) and another open project
Course Pattern and Logistics :
Course :
3 Quizzes (12% each)+ Midsem(24%) + Endsem(40%)
Lab :
Project1(30%) + Project2(20%) + 2 Quiz (10% each) + Labs (30%)
Comments on the Course and Instructor :
The instructor gave more stress on the logic part. The entire labs were in Prolog only. The theory course also covered Prolog. The exams were very numerical. Almost all the questions included heavy calculations. Most of the questions tested our ability to simulate the models / formulae discussed in the class. There were no lecture slides, though relevant wikipedia links were given.
Who will find it interested ?
All those who are interested in logic and learning how to model interesting real life systems. 
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