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 | |
| {{{grades}}} | |
| 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]
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 | |||||||||
| Wednesday | ||||||||||
| Thursday | ||||||||||
| Friday |