Instructor

Santosh Noronha

Semester

Third

Course Difficulty

Moderate

Time Commitment Required

1 hour apart from lectures per week would be enough

Grading Policy and Statistics

(Slightly Harsh) AA(3) AB(6) BB(8) BC(12) CC(8) CD(10) DD(3) FR(9)

Attendance Policy

The professor didn’t take attendance, but 5% of the course weightage was for class participation

Teaching Style

He didn’t use slides and did blackboard teaching, but provided his own handouts(notes) which were sufficient to understand the course. The professor wasn’t the most engaging one so attendance started dropping. All of the exams were open notes and students were allowed to take his handouts. The exams were not that challenging but were really lengthy and calculation heavy.

Feedback on Assignments/ Tutorials/ Projects

He provided assignments to solve but they were never discussed. There was an optional project in the course with weightage 5%. The project would offset the marks of the quiz in which you performed the poorest. Very few people completed the project.

Course Importance

This course will help you achieve a basic understanding of one of the most practical and widely used branches of mathematics called optimization. Examples of optimization can be seen everywhere around you, from businesses to ML to supply chain everything is supposed to be optimised. This course can help you build a better understanding of such topics.

Future Tracks

There are alot of optimistation courses that will build on the understanding developed here in the IEOR, CS and SysCon department.

Additional Comments

This course is nice and is a basic course but there are a lot of other optimisation courses running as well that can be explored. Particulary this course is more focused on problem solving, there are some other popular optimisation courses that are more focused on building problems/models/equations. So choose the courses carefully as per what you want to learn.

CL603 Review By: Khushajh Verma