MATH 164

Optimization

Description: Lecture, three hours; discussion, one hour. Enforced requisites: courses 115A, 131A. Not open for credit to students with credit for former Electrical Engineering 136. Fundamentals of optimization. Linear programming: basic solutions, simplex method, duality theory. Unconstrained optimization, Newton method for minimization. Nonlinear programming, optimality conditions for constrained problems. Additional topics from linear and nonlinear programming. P/NP or letter grading.

Units: 4.0
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Overall Rating 2.8
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Most Helpful Review
Spring 2024 - I was pretty shocked by the low reviews. Prof. Kassab is a very fair and kind instructor. Some may complain that the tests were "proof-heavy", sure, but it's not like these proofs were hard at all. There were really only 6-8 of them that you needed to know, and she went over every single one in class (or left it as an exercise that can be found in the book). Really - not bad at all! She gave us a practice midterm which I found helpful. I didn't do too well on the midterm because it was rushed and I made some arithmetic mistakes. (Unfortunately, the exam rubric punishes arithmetic mistakes heavily, so be very careful in your calculations!) However, she has a fantastic, forgiving grading scheme that allows the midterm to be replaced by the final. During the final, there is wayyy more time than the midterm so you can do better. Another thing I found really helpful was that she gave us a list of final study topics. I don't know if it was just because we were online for 1.5 weeks this quarter, but she ended up cutting out a lot of content in the final, which made things super clear. (I think our final was lighter on content than the other 164 class.) She also gave an extra credit opportunity on the last homework! Pretty sweet. But, once again, idk if she only offered this to us because we were partially online. Finally, one more piece of advice: whenever Prof. Kassab recommends a proof, DO IT. Overall, Prof. Kassab is helpful and wants her students to succeed. It is really clear she cares about her students. She would even show us coding examples of some of the algos, which I thought was pretty cool. I am really glad I took this class.
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