Description
- This course will study the algorithmic aspects of intelligent robotics and more generally autonomous systems.
- Core topics: planning, state estimation and learning that are central to an intelligent agent. Additionally, we will examine how the agent can make intelligent decisions given imperfect or uncertain knowledge about the world.
- Note that we will focus on the core algorithmic and AI aspects. The detailed physical interaction and control will largely be abstracted away for algorithmic treatment.
- Pre-requisites: COL333 / COL774 / ELL784 / ELL409. Permitted: AIL722.
- Programming proficiency and knowledge of probabilistic models, deep learning, basic search algorithms, logic and probability will be an advantage.
- The course will have both practical and theoretical components. The practical component will build on theory and will require thorough experimentation and analysis by the students.
Logistic
| Class Days |
Mondays and Thursdays |
| Slot |
AA |
| Timing |
2:00 PM - 3:20 PM |
| Lecture Room |
LH313.2 |
Announcements
- The lecture material for the course is complete. No formal classes in the final week before the major.
- Assignment IV is available (optional, for bonus only).
- Final weight-ages for all course components is available below.
- Assignment III is available. Please see the assignments section.
- The mid term examination will be conducted on Saturday, March 1st, 2025 in the slot 3:30pm till 5:30pm. The venue is Bharti Building Room 501 (fourth floor). Logistics information is here. ****
- Mid-Term Rubric is available [here]
- Assignment I is available.
- First class will be held on Thursday 02.01.2024.
- We will be using Piazza for all course related discussions, assignment clarifications and announcements. Please join [here]