IE501 - Optimization Models
Instructor
Prof. Vishnu Narayanan
Semester
Autumn ‘19
Course Difficulty
Not very difficult. The concepts taught are fairly straightforward and the assignments are easy too. Can do decently in the exams by studying just before them.
Time Commitment Required
Just attending the classes should be more than enough. Otherwise might have to give about two or three hours per week for the assignments.
Grading Policy and Statistics
Evaluated on the basis of 3 assignments, Midsem, and Endsem. Stats are not very promising - Only 5 AAs out of 150.
Attendance Policy
No compulsory attendance. Only had to go to class to turn in the assignments.
Pre-requisites
Some knowledge of Linear Programming helps in the initial part of the course.
Evaluation Scheme
3 Assignments - 30%
Midsem - 30%
Endsem - 40%
Topics Covered in the Course
The course started with a brief introduction of Linear Programming, followed by concepts of Duality, methods of solving LPPs like Simplex. Then applications of LP in Knapsack problem, arbitrage detection were discussed rigorously.
Then some graph theory in the form of - shortest path problem, Djikstra’s algorithm, Max flow-min cut theorem, Hall’s theorem, Vertex coloring problem were quickly discussed. Some more optimization theory.
Teaching Style
It was Pre-covid era, so had 2 lectures per week. No attendance policy but no slides also. Prof encouraged discussion in classes.
Tutorials/Assignments/Projects
Assignments were very easy. No tutorials were held as such.
Feedback on Exams
Exams (Midsem and Endsem) were open notes, although it didn’t matter. Questions required understanding of concepts. Fairly easy if you have understood the material.
Motivation for taking this course
Interesting topics.
How strongly would I recommend this course?
7/10
When to take this course?
3rd sem. 3rd sem itself - If you’re looking for a minor in IEOR better to finish this off quickly.
Other Remarks
The teaching was quite slow and the Prof had cancelled more than 2 classes as a result of which we could not complete everything that was planned for the course.
Interesting relevant links
Cdeep - https://www.cdeep.iitb.ac.in/vod/vodCloud/course_intra.php?ccode=53&referSrc=57dc9eb7be985a0e14aaa07846b0b9b4
IE 501 Review By: Harshad Ingole