ECE-487
SYS DESIGN FOR ML & SIG PROCES
Not in Fall 2026
Term
Overview
Feedback leans negative. The main complaint is that the ratings are soft even if the comments do not converge on one neat complaint. The clearest upside is that students say they actually learn something useful. Best for students who want substance, not a disposable elective.
DepartmentELEC&CMP
Terms offeredSpring
Typical enrollment18–24
Semesters of data2
4.5
Hrs / week
14
Responses
42
Enrollment
33%
Response Rate
Evaluation Scores
Overall quality
Teaching, content, and experience combined.
3.2
Intellectually stimulating
Challenges students to think deeply.
3.2
Instructor effectiveness
Explains concepts and facilitates learning.
3.8
Difficulty
Higher means harder.
2.8
Feedback Analysis
Feedback Analysismedium
Analysis based on student evaluations
Based on 20 comments across 2 sections
Feedback leans negative. The main complaint is that the ratings are soft even if the comments do not converge on one neat complaint. The clearest upside is that students say they actually learn something useful. Best for students who want substance, not a disposable elective.
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
Regular lecture load
Lectures matter here, but the evidence points to a fairly standard lecture burden rather than a course dominated by long or exceptionally dense lectures.
Strengths
• Students repeatedly say the course teaches something concrete, whether that is content mastery, research skill, or a strong foundation.
Tradeoffs
• The numeric ratings are soft even if the comments do not converge on one dominant complaint.
Best fit for
Best for students who want substance, not a disposable elective.
Watch out for
• A large share of the evidence comes from one instructor's version of the course, so this may not generalize cleanly.
Student Responses
working in a team, giving presentations, and
Spring 2024 · Tantum, Stacy
Project management, IOS development, generative models
Spring 2024 · Tantum, Stacy
Sentiment analysis Tensorflow Data processing
Spring 2024 · Tantum, Stacy
I learned almost nothing in this course.
Spring 2024 · Tantum, Stacy
The primary skill I learned was working on a large project within a software team. I also learned about reinforcement learning and cloud-based compute management.
Spring 2024 · Tantum, Stacy
Rating History
Rating history
Error bars show \u00B11 std dev
| Term | Instructor | Overall | Difficulty | Hrs/wk | Enrolled |
|---|---|---|---|---|---|
| Spring 2025 | Tantum, Stacy 3.5Rate My ProfessorsQuality3.5Difficulty3.0Would retake55%Based on 41 ratingsClick to view on RMP → | — | — | 3.9 | 24 |
| Spring 2024 | Tantum, Stacy 3.5Rate My ProfessorsQuality3.5Difficulty3.0Would retake55%Based on 41 ratingsClick to view on RMP → | 3.2 | 2.8 | 5.2 | 18 |
Instructor
Tantum, StacyELEC&CMP
Also teaches
ECE-480 APPLIED PROB FOR STAT LEARNING3.5ECE-580 INTRO TO MACHINE LEARNING4.2EGR-101L ENGR DESIGN & COMMUNICATION3.8