ECE-654
EDGE COMPUTING
Not in Fall 2026
Term
Overview
Feedback is mostly positive. The strongest signal is that discussion is a clear strength. Best for students who will actually talk in class instead of sitting silent. The sample is still thin, so treat this as directional rather than definitive.
DepartmentELEC&CMP
Terms offeredSpring
Typical enrollment13–13
Semesters of data1
7.2
Hrs / week
5
Responses
13
Enrollment
38%
Response Rate
Evaluation Scores
Overall quality
Teaching, content, and experience combined.
4.6
Intellectually stimulating
Challenges students to think deeply.
4.4
Instructor effectiveness
Explains concepts and facilitates learning.
5.0
Difficulty
Higher means harder.
3.4
Feedback Analysis
Feedback Analysislow
Analysis based on student evaluations
Based on 15 comments across 1 sections
Feedback is mostly positive. The strongest signal is that discussion is a clear strength. Best for students who will actually talk in class instead of sitting silent. The sample is still thin, so treat this as directional rather than definitive.
Student Reports
How hard is the A?
A is doable but not automatic
The signal here is more do-the-work-and-you-should-be-fine than easy-A chatter. Students do not describe the A as automatic, but the evidence also does not paint grading as punishing.
Homework Load
Moderate homework load
Homework load looks moderate. The recurring signal is steady weekly work, but not a course that turns every assignment into a grind.
Lecture Load
Lighter lecture burden
Student comments describe this as more discussion-, seminar-, or workshop-driven than lecture-dependent. The lecture burden itself does not sound like the main source of friction.
Strengths
• Discussion is a clear strength; students repeatedly describe the class conversation as engaging and useful.
• Readings, films, or outside materials come up repeatedly as a real strength rather than filler.
Tradeoffs
• There is no single dominant complaint theme, but the feedback is not uniformly glowing either.
Best fit for
Best for students who will actually talk in class instead of sitting silent.
Watch out for
• Most of the signal comes from a limited sample, so be careful about over-generalizing.
• A large share of the evidence comes from one instructor's version of the course, so this may not generalize cleanly.
Student Responses
Knowledge: Edge Computing research potentials (CDN, AR/VR, Hardware integration, etc.); Methods: Independent research methods; Skills: Paper reading skills; Network inspection skills; Research paper presentation skills; Seminar discussion skills; Insights: Research communication; Ways of thinking: Enjoy and play with your work.
Spring 2024 · Gorlatova, Maria
This course was definitely more oriented towards becoming a good researcher - while I did learn a lot of fundamentals about what edge computing is, I learned just as much or more about being a good research (project proposals, what makes a good paper, how to present, etc.)
Spring 2024 · Gorlatova, Maria
Why edge computing is importment, how it's implement and what good it did How to present research paper or my own work How to conduct research as a Mature researcher
Spring 2024 · Gorlatova, Maria
An overall understanding of the background, application and future of edge computing, including AR/VR, autonomous driving, video streaming, etc.
Spring 2024 · Gorlatova, Maria
Rating History
Rating history
Error bars show \u00B11 std dev
| Term | Instructor | Overall | Difficulty | Hrs/wk | Enrolled |
|---|---|---|---|---|---|
| Spring 2024 | Gorlatova, Maria 2.3Rate My ProfessorsQuality2.3Difficulty3.6Would retake33%Based on 12 ratingsClick to view on RMP → | 4.6 | 3.4 | 7.2 | 13 |
Instructor
Gorlatova, MariaCOMPSCI
Also teaches
COMPSCI-356 COMP NETWORK ARCHITEC