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Longxiu Huang
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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
The professor is very unclear in her lectures and often goes over proofs that are never brought up again. If you want to do well in this class, just do a lot of practice problems beyond what she assigns as homework. However, her exams are relatively straightforward and she tells you what will be on it.
This class was trash. Dropped it after the first few weeks, as did a third of the class. Couldn't understand her at all and I heard the tests were terrible. Keep in mind, I do like math and got A's in every other 30-series class. She was so bad I just decided to push it to next quarter.
Professor Huang is a nice person but sadly not a great professor. Her lectures were pretty confusing so I usually just read the lecture notes and went over examples from the textbook.
There is homework due once a week (only 8 total) and it was manageable and never took too long. There were 6 weekly quizzes that varied in difficulty; the first few were pretty difficult and I found them hard to complete in the given time (20 min, including time to upload online) but the second half of them were actually really straightforward. The midterm was only challenging because it was hard to complete in the given time (70 min iirc) but the problems were all relatively fair and we had learned how to do them.
Overall, I'd say Huang was not great but if you have no other option it wouldn't be the end of the world. Definitely find some friends to talk to/work on problems with or make a group chat!
She goes through the contents fast, and is basically copying down textbook definitions, theorems, and proofs for every single class. However, the way she conveys the ideas reflects that she planned and organized the contents well, and considered how the students could understand the materials better. She is really helpful, so does the TA. I would definitely recommend taking her class! The midterm was fair, and quizzes are homework problems.
I would only recommend Professor Huang for Math 61 if this class isn't important for you, and you just want an easy A. If you want to actually master the material (probably any math and CS majors!), don't take Professor Huang. Her lectures consisted of her mostly reading and working through examples from notes that were copied almost identically from Professor Gehret, who taught this class Winter 2019. On her notes, it's easy to see where she made changes/additions because they're typically the parts riddled with spelling and grammar mistakes.
For online learning, her class had weekly quizzes. We were given about 20 minutes for the quizzes, and they tended to be *very* similar to homework problems. They could be tricky, but if you did the homework before the quiz, they'd be pretty straightforward. Homework, unsurprisingly, was also light, with maybe 4 or 5 problems max.
The midterm was a little challenging, but the final was an absolute joke. She basically took one problem from each HW, tweaking them ever so slightly (Dijkstra's Algorithm on the same graph, but different starting node). At least one problem was copied verbatim.
Professor Huang's grading scheme might be the best part of this class. She guarantees that a 93+ scores an A, with the potential to curve upwards if class scores are low. But apparently, before the final, the class median was close to a 90, so there wasn't any need for that this quarter.
Both TAs for the course were awesome though!
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
The professor is very unclear in her lectures and often goes over proofs that are never brought up again. If you want to do well in this class, just do a lot of practice problems beyond what she assigns as homework. However, her exams are relatively straightforward and she tells you what will be on it.
This class was trash. Dropped it after the first few weeks, as did a third of the class. Couldn't understand her at all and I heard the tests were terrible. Keep in mind, I do like math and got A's in every other 30-series class. She was so bad I just decided to push it to next quarter.
Professor Huang is a nice person but sadly not a great professor. Her lectures were pretty confusing so I usually just read the lecture notes and went over examples from the textbook.
There is homework due once a week (only 8 total) and it was manageable and never took too long. There were 6 weekly quizzes that varied in difficulty; the first few were pretty difficult and I found them hard to complete in the given time (20 min, including time to upload online) but the second half of them were actually really straightforward. The midterm was only challenging because it was hard to complete in the given time (70 min iirc) but the problems were all relatively fair and we had learned how to do them.
Overall, I'd say Huang was not great but if you have no other option it wouldn't be the end of the world. Definitely find some friends to talk to/work on problems with or make a group chat!
She goes through the contents fast, and is basically copying down textbook definitions, theorems, and proofs for every single class. However, the way she conveys the ideas reflects that she planned and organized the contents well, and considered how the students could understand the materials better. She is really helpful, so does the TA. I would definitely recommend taking her class! The midterm was fair, and quizzes are homework problems.
I would only recommend Professor Huang for Math 61 if this class isn't important for you, and you just want an easy A. If you want to actually master the material (probably any math and CS majors!), don't take Professor Huang. Her lectures consisted of her mostly reading and working through examples from notes that were copied almost identically from Professor Gehret, who taught this class Winter 2019. On her notes, it's easy to see where she made changes/additions because they're typically the parts riddled with spelling and grammar mistakes.
For online learning, her class had weekly quizzes. We were given about 20 minutes for the quizzes, and they tended to be *very* similar to homework problems. They could be tricky, but if you did the homework before the quiz, they'd be pretty straightforward. Homework, unsurprisingly, was also light, with maybe 4 or 5 problems max.
The midterm was a little challenging, but the final was an absolute joke. She basically took one problem from each HW, tweaking them ever so slightly (Dijkstra's Algorithm on the same graph, but different starting node). At least one problem was copied verbatim.
Professor Huang's grading scheme might be the best part of this class. She guarantees that a 93+ scores an A, with the potential to curve upwards if class scores are low. But apparently, before the final, the class median was close to a 90, so there wasn't any need for that this quarter.
Both TAs for the course were awesome though!