For Math345, professor speaks way too fast for anyone to fully understand. He doesn't explain well and is in his own head. Not a good teacher.Rate My Professors ↗
Current instructor
Sebastien Roch
What students say
Original student reviews · all captured dates
All MATH535 lecture material comes from an online textbook written by Dr. Roch himself. Attendance is measured using TopHat (full credit for attending at least half the classes). He's a pretty good lecturer, focusing on the most important topics and leaving time for questions. If you attend class, scoring well on the exams isn't too hard.Rate My Professors ↗
I don't understand these reviews, Sebastien is amazing at teaching. He has a deep understanding of the material, gives easy exams, helpful outside of class.Rate My Professors ↗
A great way instructing things and letting student know Math is not the thing. Super "rigorous" and quite confusing, and so could possibly make the topic complicated to a level that is not appropriate for this level of class.Rate My Professors ↗
He is not good at teaching but he is very willing to help and his lecture notes are very good for self-learning. So it's okay to take class with him if you are a good self-learner.Rate My Professors ↗
I don't know what Prof. Roch is talking about, he can introduce a hundred theorems with little to no explanations, let alone give examples. HW is also challenging, you should take care yourself and learn by yourself.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with Sebastien Roch
Linear Algebra and Optimization introduces linear algebra, multivariable calculus, and optimization theory with applications to data science, implemented in Python.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2025: 3.12 GPA, 52.9% A/AB (n=17 letter grades).
historical GPA · grades
Spring 2025–Spring 2026 · limited sampleCovers mathematical foundations of networks for data science, focusing on algorithmic graph theory, linear algebra, network statistics, and PageRank.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Fall 2023–Spring 2026Reading and Research
1–3 creditsReading and research in all areas of Mathematics.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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