Steve is providing really great lecture and is really nice to talk to after class. He is really knowledgable and gives very great introduction to how optimization works. This is a class that you don't want to miss if you are interesting how optimization works. The project are in julia code, which is super nice to use.

If you just want to get an A in this course, then the difficulty of this course is 2-3, but the content and the topics of the lectures are more difficult than average. Those topics are insightful and will help you succeed in future CS learning (especially for algorithm and machine learning). Prof. Wright is very kind and generous in grading.

This class was so much more difficult than it needed to be. That being said, aside from general disorganization in lectures, he does a good job of presenting the material during lectures. My only qualm with this prof is that his grading criteria is very (and unnecessarily) harsh.

Professor Wright's lectures involve little more than transcribing the textbook on the board. Their focus is on rigor over intuition. Logistics are not managed well. TA contact information and grading criteria were never provided. This is a notoriously difficult course. In a class full of math and CS PhD students, the average grade is about a B.

Stephen is a good teacher and certainly is respected by every student. He has written several books and usually lectures from them, which makes it easier to catch up if you missed lectures. The assignments were graded in an insanely harsh way, though, and the professor doesn't seem eager to answer questions during office hours.

Prof jbr is very forthright and a real joy to work with. Your trust is not preserved only to be broken soon

Good at splitting up theory with examples, wrote the textbook, great accent. I took this class for fun and was pleased. Plus the final project is really fun!

He seems to be some kind of genius and is quite thorough in covering material. Has a bad tendency to go over time routinely, so I wouldn't recommend having another class right after though. Also, very dry lectures in an Australian accent make me want to fall asleep. Get coffee or tea before class.

Truly amazing and inspiring

Professor Wright did a good job conveying the principles of linear programming. You need prior linear algebra knowledge. His midterm was easy so everyone did well and it was tough to get a distribution so he made the final more difficult, although it wasn't bad. Be ready for semi tough proofs. Go to his office hours. He's very helpful.