AI61005: AI Foundations & Applications
|Course name||Artificial Intelligence Foundations & Applications|
|Offered by||Centre of Excellence in Artificial Intelligence(CoEAI)|
|Previous Year Grade Distribution|
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]
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|