Semester I: 2024-25
Description
The course covers the foundational principles of artificial intelligence and is centred around the following themes: intelligent agents and AI, problem-solving by search, constraint satisfaction, adversarial search, planning, probabilistic reasoning, decision-making under uncertainty, deep learning, reinforcement learning and applications.
Logistics
| Class Days |
Tuesdays, Thursdays and Fridays |
| Slot |
F |
| Timing |
11:00 AM - 11:50 AM |
| Lecture Room |
LH 108 (for both COL333 and COL671) |
| Instructor |
Rohan Paul |
| Teaching Assistants |
Vishal Vivek Saley, Namasivayam K, Aayush Tyagi, Gagandeep Singh, Gurarmaan Singh Panjeta, Abhinav Barnawal, Kausik Hira, Rishab Vajpayee |
Announcements
- The re-major examination (I-grade and E-grade) will be conducted on Monday, January 6th, 2025. Please see the instructions below.
- Information regarding the major exam appears in the examination section below.
- Information regarding course component weightage is provided here.
- Part II of Assignment 3 is released. Please see the assignment section.
- Assignment III has been released. Please see the assignment section.
- The solution and rubrics for midterm exam are available here.
- Mid-term examination sheets will be available for viewing in SIT001 on Monday, Sept 23, from 11:00 AM to 12:30 PM. Please see your assigned slot and time here.
- See the Examination section for mid-term exam instructions.
- Assignment II has been released. Please see the assignment section.
- Please join the piazza here. The course announcements and assignment discussions will happen through Piazza.
- Class slides will be linked through this website. Please see the drive link below, where slides will typically be posted after class.
Topics
- Class material will include both slides and material covered on the white board.
- Slides will be uploaded in the week following the class when the topic is covered. The slides will be available at this link.