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
5.0 / 10
Organization
8.3 / 10
Time
5-10 hrs/week
Overall
5.0 / 10

Reviews

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

    Scavia is very knowledgeable but lectures at an incredibly fast pace. All of the lecture material is posted to BruinLearn at the beginning of the course (save a few additional problems done in lecture). Almost the entire class struggled with the midterms--mostly everyone I knew received around or under 10/30 points per exam, but Scavia provided some pretty insane curves to counteract the widespread failing grades. Also he has two grading schemes, one where he drops the lowest of the two midterms.

    The homework is assigned from the textbook, expect to do 15+ proofs per week. This was the most time consuming part of the course (8ish hours per assignment for me, but this is coming from a first year transfer), and he drops the two lowest of the seven homework assignments.

    Here are some of my scores:

    MT 1: 43% curved up to 85%, MT 2: 25% curved up to 57.5%, Final: 80% curved up to 92%. Final grade: A-

    TLDR; Scavia had very difficult exams but some ridiculous curves, can't complain about this but feel oddly conflicted. Significant disconnect between lecture/hw material and exam problems.

Course

Instructor
Scavia, F.
Previously taught
23F 23W

Grading Information

  • No group projects

  • Attendance not required

  • 2 midterms

  • Finals week final

  • 100% recommend the textbook

Previous Grades

Grade distributions not available.