AI61005: AI Foundations & Applications

AI61005
Course name	Artificial Intelligence Foundations & Applications
Offered by	Centre of Excellence in Artificial Intelligence(CoEAI)
Credits	4
L-T-P	3-1-0
Previous Year Grade Distribution
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Semester	Autumn

Syllabus

Syllabus mentioned in ERP

Problem solving by search: state space, problem reduction, game playing, constraint satisfaction; Automated Reasoning: proposition and first order logic, inference and deduction, resolution refutation, answer extraction, knowledge based systems, logic programming(prolog) and constrained logic programming, non-monotonic reasoning; Planning: state-space, plan space and partial order planning, planning algorithms; Reasoning under Uncertainty: probabilistic reasoning, belief networks; Learning: inductive learning, decision trees, logical approaches, computational learning theory, Neural networks, reinforcement learning; Intelligent Agents; Natural Language Understanding; Applications.

How to Crack the Paper

The course is mostly theoretical, thus for the part comprising of planning, predicates etc, solving as many questions as we can is a must. Please go through previous years' question papers.

Additional Resources

Class Test-1

Mid sem

End sem

Time Table

Day	8:00-8:55 am	9:00-9:55 am	10:00-10:55 am	11:00-11:55 am	12:00-12:55 pm		2:00-2:55 pm	3:00-3:55 pm	4:00-4:55 pm	5:00-5:55 pm
Monday	NR121	NR121								NR121
Tuesday					NR121
Wednesday
Thursday
Friday