Current instructor
Original student reviews · all captured dates
His lectures are disorganized and unnecessarily long, often going off topic and starting new material 1 min before class ends. Explanations are unclear. Heavy homework. Attendance is checked randomly, so skipping isn't an option. I have a 4.0 GPA but am considering dropping because I learn little and it costs too much emotional energy.Rate My Professors ↗
Botted reviews. Need I say more?Rate My Professors ↗
He keeps lectures interesting and always breaks concepts down to be as easily understood as possible. Also, very responsive to concerns about quiz questions. Top tier professor.Rate My Professors ↗
Professor Singh is a great professor and is very helpful. His course policies are very accommadating and I learned a lot from the course.Rate My Professors ↗
I enjoyed being in Gurmail class a lot. This class isnt very hard but if you do struggle, I feel like he is accessible. Just stay on top of lectures and study a bit before exams and you will be fine!Rate My Professors ↗
Gurmail spends considerable time explaining concepts and a decent amount of time outside class to help students. His assignments are easy to understand if you follow the course material, and he is very fair with his grading. I'd recommend that anyone take his class to better grasp Python.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Data Science Programming II covers intermediate Python data science, including graph data structures, reproducibility tools, A/B testing, and basic ML techniques like clustering and classification.
Offering recorded · Spring 2027 · Sources
Past student reviews · Gurmail Singh
Gurmail Singh was seen by some as caring, reachable, and generous with extra credit, and one student described grading as six biweekly projects, two midterms, and a final, with online exams. Other students found his lectures boring, his notes inconsistent, or his explanations unclear, and one reported heavy homework and emotional strain.
historical GPA · grades
Fall 2022–Spring 2026Distinct courses recorded per term
Explore courses taught by this instructor →| Term | Course | Title |
|---|---|---|
| Spring 2027 | COMPSCI 320 | Data Science Programming II |
| Fall 2026 | COMPSCI 320 | Data Science Programming II |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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