Lecture, three hours; discussion, two hours. Requisite: course 33A. Techniques of proof, abstract vector spaces, linear transformations, and matrices; determinants; inner product spaces; eigenvector theory. P/NP or letter grading.

Review Summary

Clarity
10.0 / 10
Organization
10.0 / 10
Time
15-20 hrs/week
Overall
10.0 / 10

Reviews

    Quarter Taken: Fall 2022 In-Person
    Grade: A-

    This class was definitely not easy, but the professor made it doable. We had two midterm - both were very proof-based, and our final was more computational (likely due to the TA strike). The professor was very clear in his steps and instructions, but sometimes glossed over examples and proofs by saying they would be "left as an exercise". Attendance in discussion sections were mandatory and recorded as part of our grade (by working on the worksheets twice each week). Homework always took a long time to complete, since they were mostly proofs with 6-10 problems each week on average. Overall, my experience wasn't too bad - just make sure to keep up on the work.

    Quarter Taken: Fall 2022 In-Person
    Grade: A

    Excellent teacher any math student should want to have a class with him.

    Quarter Taken: Fall 2022 In-Person
    Grade: B+

    He is a decent lecturer, and curved every exam. I did bad on both midterms and still ended with a B+

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    This was one of the better math classes I took at UCLA, mostly because of the professor. I hate proofs, but this prof is so good at explaining things. He's super organized and really cares about his students. He's always willing to meet outside of class to go over things and his tests are questions that you've seen before on the homework--so very reasonable. If you have to take 115A I would strongly recommended you take it with Brian.

    Quarter Taken: Fall 2023 In-Person
    Grade: B

    pretty cool prof. two midterms and they were based off the homework

    Quarter Taken: Fall 2023 In-Person
    Grade: A+

    Overall very straightforward class. Midterms and Finals heavily based on homework material, and generally you would be fine if you knew how to do the homework. Homework itself was quite rigorously graded, but both professor and TA were willing to provide solutions during office hours. Lectures not recorded, but notes would be posted. Overall quite a good professor imo.

    Quarter Taken: Winter 2024 In-Person
    Grade: B+

    Brian Shin is one of the best math professors in the entire department. The class is still a little difficult, but he makes the material very digestible. He offers fantastic notes so if you miss something in class it is very easy to review on your own later without getting lost in a textbook. I recommend also going to discussion, and to also work on your computations. When I took him, he never graded computations on homework, but I got burned by this on exams.

Course

Instructor
Brian Shin
Previously taught
25W 24W 23F 23S 23W 22F

Grading Information

  • No group projects

  • Attendance not required

  • 2 midterms

  • Finals week final

  • 57% recommend the textbook

Previous Grades

Grade distributions not available.