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
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.
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. Please go through previous years' question papers.
Classroom resources
Additional Resources
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 |