CS60045: Artificial Intelligence

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CS60045
Course name Artificial Intelligence
Offered by Computer Science & Engineering
Credits 3
L-T-P 3-0-0
Previous Year Grade Distribution
23
30
29
20
19
8
1
EX A B C D P F
Semester Spring


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 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

Student Opinion

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.

Classroom resources

Additional Resources

Class Test-1

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
Tuesday
Wednesday NR221
Thursday
Friday NR221 NR221