AI61005: AI Foundations & Applications

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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
Semester Autumn

Syllabus[edit | edit source]

Syllabus mentioned in ERP[edit | edit source]

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.

Concepts taught in class[edit | edit source]

Student Opinion[edit | edit source]

How to Crack the Paper[edit | edit source]

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.

Classroom resources[edit | edit source]

Additional Resources[edit | edit source]

Class Test-1

Mid sem

End sem

Time Table[edit | edit source]

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