Instructor

Prof. Subhankar Karnmakar (a very very nice professor - best giveaway for the course!)

Semester

Spring’ 22

Course Difficulty

Moderate - level 3 I took up the course in my third year, it didn’t seem too difficult. Probability-based content is taught; it is not too advanced, though.

Time Commitment Required

I only studied for 6-7 hours prior to quizzes; endsem/midsem/project would require more time. Overall 2 hrs a week of consistent studying or even honest last-minute prep is sufficient.

Grading Policy and Statistics

8/28 AAs, 9/28 ABs - grading was chill; however, since there are a lot of M.Techs who take up the course too, it’s difficult to bag good grades without actually putting in effort.

Attendance Policy

The professor was strict about attendance - approximately 70% is required.

Pre-requisites

None

Topics Covered in the Course

Some theory about environmental risk & mathematical models to quantify the same (fuzzy techniques etc.) – easy to moderate level content but there are quite a few topics - so good prep & time would be required.

Teaching Style

Very comprehensive slides + the prof. is very open to clearing doubts – most questions for exams are based on the content taught in class.

Tutorials/Assignments/Projects

2 Assignments - pretty chill ChatGPT level; group project is also straightforward - need to review some papers & develop insights on the same

Feedback on Exams

Exams were quite easy, although one needs to be thorough with the content & hence put in honest effort + time

Motivation for taking this course

Can help with a modelling-based approach of risk analysis + offers real-world applications since it’s environment based. I took it as a course to explore environment based content - was slightly more math heavy than expected.

Review By: Meenal Agarwal