He is not very good at lecturing, they are very monotonous and not engaging at all. He can also be very rude and gets irritated over the smallest things. The midterm was nothing like the practice, with way too many questions and not enough time to finish.Rate My Professors ↗
Historical instructor
MATTHEW BLOSS
What students say
Original student reviews · all captured dates
Hw is way too muchRate My Professors ↗
Just finished up the semester with him and he's the goat honestly! All his lectures were easy to follow along with. He does lecture from notes/slides but he elaborates and makes things clearer. He also works through examples which is nice. I will say it may be a lot of information to process so make sure to do honest work!Rate My Professors ↗
Bloss acts nice in person by telling jokes and giving out prizes during lecture, but the actual material is taught at an incredibly monotonous pace and doesn't explain concepts thoroughly. HW is long, tedious and doesn't help at all w/ overall understanding of material. Final was extremely difficult (52% median) and curve wasn't much help at all.Rate My Professors ↗
I thought he was a pretty chill guy, and the lectures were fine- he was just kind of held back by the early time slot. It's hard to pay attention already if you don't care about stats, so trying to do this tired is a bit challenging. His study guides are helpful. Don't be intimidated by the coding part, it's just basics (I've never coded before).Rate My Professors ↗
Maybe I just hate math, but I despised this class. Lectures were tedious and boring, you had to learn how to use R outside of class to use on the homework and then you don't get to use it on the exams, the homework is long and the exams are hard.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with MATTHEW BLOSS
Introduction to Probability and Mathematical Statistics I covers probability theory, combinatorial methods, discrete and continuous distributions, moments, and estimation.
No offering record · Spring 2026 · Sources
with this instructor · course overall, matching historical terms
historical GPA · grades
Fall 2021–Spring 2026Introduction to mathematical statistics covering probability, discrete distributions, acceptance sampling, normal distribution, central limit theorem, and estimation methods.
No offering record · Spring 2026 · Sources
with this instructor · course overall, matching historical terms
historical GPA · grades
Fall 2021–Spring 2026Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2026 | MATH/STAT 309 | Introduction to Probability and Mathematical Statistics I |
| Spring 2026 | STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I |
| Fall 2025 | STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I |
| Fall 2025 | STAT 371 | Introductory Applied Statistics for the Life Sciences |
| Spring 2025 | MATH/STAT 309 | Introduction to Probability and Mathematical Statistics I |
| Spring 2025 | STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I |
| Fall 2024 | STAT 371 | Introductory Applied Statistics for the Life Sciences |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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