Instructor

Prof. Vivek Sangwan

Semester

Spring 2022-23

Course Difficulty

Moderate

Time commitment needed

The course doesn’t have compulsory attendance, but it’s necessary to attend lectures to do well since the prof usually asks questions straight from the lectures in the exams

Grading Statistics

Great, 10 AAs in 19 students

Teaching Style

The lectures were very well organized, and prof was receptive to a lot of doubts. Lectures were timely uploaded to Moodle.

Feedback on Assignments/ Tutorials/ Projects

Assignments take up a good chunk of time; Project is usually a presentation of use of a topic taught in class (for us it was SVD). The project doesn’t take a lot of time, it’s just a paper review assignment but the prof has a strict time limit on how long the presentation should last.

Feedback on Exams (Written Evaluation)

Exams are fairly easy if you attend classes; Note that this is kind of an advanced linear algebra course so having some grasp over the topic goes a long way.

Future Tracks

Controls, ML, any course that would apply Linear Algebra

Course Importance

Someone moving into the ML space should do this course; usually in their 6th sem (helped me a lot for placements) since the course dives deep into the basics of linear algebra and matrix operation which form the basis for machine learning

Contact Details

Manav Doshi - 7506807326