Lecture is not bad. She definitely teaches good among all professor I've taken so far. Demo is sometimes buggy, but still very helpful. However, the quizes and tests in the class is too much, I'm extremely overwhelmed by the projects and the tests. Exams are easy to prepare compare to other classes. Make sure you did all the practice exams.Rate My Professors ↗
Historical instructor
MEENAKSHI SYAMKUMAR
What students say
Original student reviews · all captured dates
Quality 4/5Difficulty 4/5
Quality 1/5Difficulty 5/5
worst course curriculum ever. avoid taking under meenakshi syamkumar or tyler as the course structure and teaching quality was not up to the mark and the policies felt unnecessarily rigid.Rate My Professors ↗
Quality 1/5Difficulty 3/5
its just a bad class and her teaching style is horendous. The submission for projects are janky and not stable but they dont make any changes to that. Shes always behind in content and rushes to make up for it. If you want this class for credits, dont bother, if you take any other class and shes the prof, dont bother.Rate My Professors ↗
Quality 2/5Difficulty 3/5
Meena's lecture style in CS 544 consists of 1/3 useful slides on theory, and 2/3 slow, buggy demos, which I found abysmally unengaging. I showed up to every lecture and still managed to learn almost nothing during that time.Rate My Professors ↗
Quality 1/5Difficulty 4/5
Meena comanages CS 544 terribly. Her and Tyler ruined the projects, making them tough and AI-based. Made quizzes unfair by keeping the same versions between sections. She defended this by saying she couldn't understand why anyone would cheat. Meena teaches terribly, spending more time talking about easier topics than the tougher ones.Rate My Professors ↗
Quality 1/5Difficulty 5/5
Most disorganised class ever, she is never available outside of class, was very excited to take big data but this class was my biggest nightmareRate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with MEENAKSHI SYAMKUMAR
No teaching recorded in Fall 2026.
View last recorded teaching term →No courses match this selection. Try the full catalog or another term.
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2026 | COMPSCI 639 | Undergraduate Elective Topics in Computing |
| Spring 2026 | COMPSCI 698 | Directed Study |
| Spring 2026 | COMPSCI/ECE 354 | Machine Organization and Programming |
| Fall 2025 | COMPSCI 298 | Directed Study in Computer Science |
| Fall 2025 | COMPSCI 544 | Introduction to Big Data Systems |
| Fall 2025 | COMPSCI 698 | Directed Study |
| Spring 2025 | COMPSCI 298 | Directed Study in Computer Science |
| Spring 2025 | COMPSCI 639 | Undergraduate Elective Topics in Computing |
| Spring 2025 | COMPSCI 698 | Directed Study |
| Fall 2024 | COMPSCI 298 | Directed Study in Computer Science |
| Fall 2024 | COMPSCI 639 | Undergraduate Elective Topics in Computing |
| Spring 2024 | COMPSCI 298 | Directed Study in Computer Science |
| Spring 2024 | COMPSCI 544 | Introduction to Big Data Systems |
| Spring 2023 | COMPSCI 320 | Data Science Programming II |
| Fall 2022 | COMPSCI 220 | Data Science Programming I |
| Fall 2022 | COMPSCI 298 | Directed Study in Computer Science |
| Fall 2022 | COMPSCI 319 | Data Science Programming I for Research |
| Spring 2022 | COMPSCI 220 | Data Science Programming I |
| Spring 2022 | COMPSCI 298 | Directed Study in Computer Science |
| Spring 2022 | COMPSCI 319 | Data Science Programming I for Research |
| Fall 2021 | COMPSCI 220 | Data Science Programming I |
| Fall 2021 | COMPSCI 298 | Directed Study in Computer Science |
| Fall 2021 | COMPSCI 319 | Data Science Programming I for Research |
| Fall 2020 | COMPSCI 220 | Data Science Programming I |
| Fall 2020 | COMPSCI 319 | Data Science Programming I for Research |
| Spring 2020 | COMPSCI 220 | Data Science Programming I |
| Spring 2020 | COMPSCI 638 | Undergraduate Topics in Computing |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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