Current instructor
Original student reviews · all captured dates
Since the beginning of the course and I was totally lost, the lextures are useless and the slides make no sense. The class also relies heavily on the written component of the exam. overall not a great experience, even though it is calc 2 and I like calculus.Rate My Professors ↗
He was a little hard to understand and his lectures were taken essentially straight out of the textbook which was frustrating. Sometimes there were typos in his slides which were not always corrected during lecture, so if a student didn't notice the typo, they'd be screwed. However, he genuinely cares about his students, and is very accommodating.Rate My Professors ↗
Definitely one of the best in business. I love how his lectures are short yet super effective in conveying concepts. He is also very caring and considerate to extenuating circumstances that students may experience. I once had a problem with my internet while I was trying to finish an exam. Chen didn't hesitate to work things out. Love this guy!!!!!Rate My Professors ↗
I love him! He can always make hard concepts easy to understand. Load is not heavy and you can enjoy the lectures!Rate My Professors ↗
Not that great of a professor. He was difficult to understand at times and basically just read straight out of a notebook for lecture. Wouldn't take him againRate My Professors ↗
Nan Chen was a fantastic professor, and he really cared about his students. He was always willing to help inside and outside of class, and he even convinced the math department to let him have a higher curve as our class was at 7:45 a.m. Overall an amazing teacher and a nice guy.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
MATH 717 introduces computational methods using stochastic algorithms for random mathematical problems, covering Monte Carlo, Bayesian inference, and SDEs.
Offering recorded · Fall 2026
Recent recorded grades — Fall 2022: 3.97 GPA, 100.0% A/AB (n=19 letter grades); Spring 2024: 3.94 GPA, 95.0% A/AB (n=40 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=34 letter grades).
historical GPA · grades
Fall 2022–Fall 2025MATH 990 offers independent reading and research opportunities across all areas of Mathematics.
Offering recorded · Fall 2026
No recorded grade history
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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