Lectures towards the back-half of the semester became super vague and unclear with very limited examples of difficult topics. This made the final exam very hard (class avg about 65%). On the other hand, the coding projects are easy and there are not many, so overall workload for this class is fairly light. Take LIS464 if you just want to learn SQLRate My Professors ↗
Current instructor
Paris Koutris
What students say
Original student reviews · all captured dates
He doesn't convey the material well, made the class super difficultRate My Professors ↗
He's decent and seems to care abotu explaining concepts for everyone's understanding.Rate My Professors ↗
This guy kind of reminds me of Marc Renault without as much of a hatred for students. Chill enough guy and the class was super interesting.Rate My Professors ↗
He's definitely better than his current rating suggests. You can tell he really cares about his students understanding the material. In his lectures, he's always asking questions(to the students) or encouraging students to ask their own. It's clear he knows the topic very well, which only helps the lecture more.Rate My Professors ↗
Paris lectures are very boring, but filled with information so if you pay attention you will do well in the class. He also records lectures which I really appreciated. Projects and exams make up the grade. Grading was quite generous and transparent. Final project B+ tree and final exam was a nightmare but everything else until then was easyRate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with Paris Koutris
Directed Study
1–6 creditsDirected study projects for Computer Science juniors and seniors, arranged with a faculty member.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=1 letter grades).
historical GPA · grades
Fall 2022–Spring 2026 · limited sampleCovers foundational database concepts, query languages like Datalog, and advanced data management topics such as streams, parallelism, and privacy.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2023: 3.84 GPA, 96.9% A/AB (n=32 letter grades); Fall 2024: 3.68 GPA, 81.8% A/AB (n=22 letter grades); Spring 2026: 3.88 GPA, 100.0% A/AB (n=20 letter grades).
historical GPA · grades
Spring 2023–Spring 2026 · limited sampleMaster's Research
1–9 creditsOffering recorded · Spring 2027 · Sources
No recorded grade history
Pre-dissertator Research
1–9 creditsPre-dissertator independent research supervised by a faculty member for students who have completed a master's degree but have not reached dissertator status.
Offering recorded · Spring 2027 · Sources
Dissertation
1–6 creditsAdvanced level mentored reading and research for students with dissertator status.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2027 | COMPSCI 699 | Directed Study |
| Spring 2027 | COMPSCI 784 | Foundations of Data Management |
| Spring 2027 | COMPSCI 799 | Master's Research |
| Spring 2027 | COMPSCI 899 | Pre-dissertator Research |
| Spring 2027 | COMPSCI 990 | Dissertation |
| Fall 2026 | COMPSCI 564 | Database Management Systems: Design and Implementation |
| Fall 2026 | COMPSCI 699 | Directed Study |
| Fall 2026 | COMPSCI 799 | Master's Research |
| Fall 2026 | COMPSCI 899 | Pre-dissertator Research |
| Fall 2026 | COMPSCI 990 | Dissertation |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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