Botted reviews. Need I say more?Rate My Professors ↗
Historical instructor
GURMAIL SINGH
What students say
Original student reviews · all captured dates
Quality 1/5Difficulty 5/5
Quality 5/5Difficulty 1/5
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 ↗
Quality 5/5Difficulty 1/5
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 ↗
Quality 5/5Difficulty 3/5
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 ↗
Quality 5/5Difficulty 3/5
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 ↗
Quality 5/5Difficulty 2/5
AMAZING PROF! Will reply even late at night!Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with GURMAIL SINGH
COMPSCI 320 teaches intermediate data science programming in Python, covering data structures, reproducibility, and machine learning techniques.
No offering record · Spring 2026
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 | COMPSCI 320 | Data Science Programming II |
| Fall 2025 | COMPSCI 320 | Data Science Programming II |
| Spring 2025 | COMPSCI 320 | Data Science Programming II |
| Fall 2024 | COMPSCI 320 | Data Science Programming II |
| Spring 2024 | COMPSCI 320 | Data Science Programming II |
| Fall 2023 | COMPSCI 220 | Data Science Programming I |
| Fall 2023 | COMPSCI 319 | Data Science Programming I for Research |
| Spring 2023 | COMPSCI 220 | Data Science Programming I |
| Spring 2023 | COMPSCI 319 | Data Science Programming I for Research |
| Fall 2022 | COMPSCI 220 | Data Science Programming I |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
{
"instructor_uid": "instructor_4fd18c1e2d3eb74f6bca507b",
"source": "madgrades",
"source_instructor_id": "6489305",
"identity_basis": "source_id",
"identity_status": "source_identified",
"name": "GURMAIL SINGH",
"email": null,
"first_observed_at": "2026-09-06 23:14:58.172943+00:00",
"last_observed_at": "2026-09-07 15:55:43.033547+00:00",
"ratings": {
"review_count": 71,
"quality": 2.99,
"difficulty": 2.85,
"quality_count": 71,
"difficulty_count": 71,
"profile_id": "rmp:2831641",
"source_url": "https://www.ratemyprofessors.com/professor/2831641",
"match_basis": "exact_name",
"observed_at": "2026-09-07 16:37:52.682667+00:00",
"courses": {
"course_1dae8ec78980ea57dc44f5c9": {
"review_count": 50,
"quality": 3.36,
"difficulty": 2.7,
"quality_count": 50,
"difficulty_count": 50
},
"course_834bc468ca49d8090d0f211f": {
"review_count": 20,
"quality": 2.15,
"difficulty": 3.2,
"quality_count": 20,
"difficulty_count": 20
}
},
"bayesian_quality": 3.1371836886915596,
"prior_mean": 3.6596857835465957,
"prior_weight": 20
},
"grade_statistics": {
"gpa": 3.575,
"graded": 4089,
"counts": [
2275,
874,
651,
122,
73,
54,
40
],
"sections": 29
},
"current": false,
"courses": [],
"revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"instructor_url": "/instructors/GURMAIL_SINGH--instructor_4fd18c1e2d3eb74f6bca507b"
}