← all courses

Advanced Modeling for Discrete Optimization

The Chinese University of Hong Kong · View on Coursera ↗

Taught by Prof. Jimmy Ho Man Lee, Prof. Peter J Stuckey

Computer ScienceMath and Logic

Coursera
4.9
headline rating
Starisk
5.0
Holds up

About the course

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars. Similar problems also under

The consensus

Every one of the 19 reviews we read gave it 4★ or more. This is the most-upvoted one (no upvotes).

“Great course for those who would like to divert from procedural and object-oriented programming and challenge themselves. The course promotes developing holistic thinking in discrete optimization, as solving most assignments to full grade usually requires developing some really good “global constraints” (these beasts have already appeared in the “Basic Modeling for Discrete Optimization” course). Although the fable based learning approach may frustrate some academic snobs, I guess it is generally fun and does not hinder the essence of the course. Highly recommended.”

5.0 / 5

Read the full review on Coursera ↗

Coursera's 4.9 comes from 143 ratings. Of those, 0.0% are 1–2★.

Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.

That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.

Reviews read on 22 Oct 2026.Read them on Coursera ↗