CS303 | Spring 2025

CS303. Mathematical Foundations of AI — Tutorials

Spring 2025

Instructor: Prof. Manisha Padala. Tutorials are available from Gradescope.

About the Course

The course covers mathematical tools necessary for various computer science and artificial intelligence courses.

Topics covered include: Linear Algebra, Optimization, and Probabilistic Modelling.

Prerequisites (Informal)

Data Centric Computing (ES 113) and Probability Statistics and Data Visualisation (ES 114)

References

Please visit the main course website for course plan, lecture slides, references, and grading policy.

Timings and Venue

Tutorials: Thursdays 2:00 PM - 3:20 PM at 1/101

Office hours

By appointment.

Evaluation policy

• 5 Quizzes (individual) 10% each
• 5 Worksheets (group, 5 points each) 10% in total
• 2 Coding Assignments 5% each
• Mid Semester Exam 10%
• End Semester Exam 20%

Logistics

• Register through IMS
• All assessments will be conducted on Gradescope (Code: YRWVWK)
• All announcements are made over Google Classroom.