Current instructor

Timo Seppalainen

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 22 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

Quality 5/5Difficulty 4/5
Professor Seppalaninen is a great professor who cares deeply for his students and makes difficult concepts easy for students to understand. He also is very accommodating, as he had several formulas for determining the course grade and went with whatever one gave you the highest grade. One of the best professors to take for such difficult material
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Quality 5/5Difficulty 3/5
Super professional instructor who explains why the mathematical results discussed in class are important, and how they fit into the greater context of measure theory and other areas of mathematics, but keeps the required material in the scope of the class and its prerequisites.
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Quality 5/5Difficulty 4/5
Timo is a good guy and a great teacher. He makes complicated topics very accessible to students who have no analysis background. The homework can be very challenging and take a while, but you only get about 10 of them. The best thing is that the homework is way harder than the exams. So, if you really take time with the hw, you barely need to study
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Timo Seppalainen

Introduction to stochastic processes covering Markov chains, point processes, and renewal theory with applications to queueing and branching models.

Offering recorded · Fall 2026

Timo Seppalainen receives universal praise for clear, engaging lectures and making complex probability concepts accessible. Reviewers highlight his professionalism, helpfulness, and deep care for student success. While some note challenging homework, the consensus is that his teaching quality makes the course highly rewarding.

historical GPA · grades

Spring 2022–Spring 2026

MATH 790 is a graduate thesis course where students work on a Master's thesis under faculty supervision.

Offering recorded · Fall 2026

No recorded grade history

Recorded teaching history

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Fall 2026ISYE/MATH/OTM/STAT 632Introduction to Stochastic Processes
Fall 2026MATH 790Masters Thesis

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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