Grade distributions are collected using data from the UCLA Registrar’s Office.
I got an A in this class so let me give a completely objective and unbiased review since it seems like all of Professor Huang's reviews seem to either utterly hate on her or call her the best professor ever.
Frankly, the class was a mess. The lectures were unclear and the notes weren't super helpful for anything. The lectures didn't help on the homework, the homework didn't help on exams, and the exams didn't really reflect what we learned in lecture.
If not for group study sessions, I would not have pulled an A in this course.
Outside of her teaching style, Professor Huang herself is very kind and understanding. She extended homework due dates and gave out hints very frequently. She gave a study guide for both the Final and Midterm that told you exactly what would be on it. And I mean she would give a numbered list of topics that 100% mirrored what she tested you on during exams.
By collaborating with other students in the class, we were able to discern exactly what would be on the exams.
I also felt that she and her TA's graded very leniently, and I always scored higher than I thought I would on the exams and homework.
We also had a Group Project in this course which was also graded very leniently and was pretty much just free points for your overall grade.
Overall, I don't think she's a great professor by any means. She's okay at best. Her lectures were mostly conceptual and provided nearly zero examples, whereas her exams were purely computational. Her homeworks were very difficult and since they were taken from an 80 year old book, there were no solutions anywhere and the questions were ridiculously vague.
However, I felt that her exams were fairly easy as they were purely computational and she gave the topics beforehand (although she gave nearly zero examples).
So yeah TLDR: Messy class; homeworks, lectures, and exams are disjoint; but lenient grading; easy exams; very kind and understanding professor
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