ECE-586D

VECTOR SPACE METHODS APPL

Offered Fall 2026
ELEC&CMP · Taught by Reeves, Galen · Last offered Fall 2024
Term
Instructor

Overview

Feedback is mostly positive. The strongest signal is that teaching clarity stands out. Difficulty runs on the high side even without a single dominant complaint theme. Best for students who want a structured class rather than chaos.

DepartmentELEC&CMP
Terms offeredFall
Typical enrollment29–44
Semesters of data2
7.6
Hrs / week
35
Responses
73
Enrollment
48%
Response Rate

Evaluation Scores

Overall quality
Teaching, content, and experience combined.
3.9
12345
Intellectually stimulating
Challenges students to think deeply.
4.0
12345
Instructor effectiveness
Explains concepts and facilitates learning.
4.2
12345
Difficulty
Higher means harder.
4.2
12345

Feedback Analysis

Feedback Analysismedium
Analysis based on student evaluations
Based on 80 comments across 2 sections

Feedback is mostly positive. The strongest signal is that teaching clarity stands out. Difficulty runs on the high side even without a single dominant complaint theme. Best for students who want a structured class rather than chaos.

Student Reports
How hard is the A?
Hard to get an A
Students repeatedly frame high grades as something you have to earn. This reads as hard to ace rather than casually easy, especially once the course pace or grading standards ramp up.
Homework Load
Heavy homework load
Homework load is one of the clearest friction points. Students repeatedly describe assignments, readings, or problem sets as time-consuming.
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
Teaching clarity stands out; students repeatedly say the material is explained clearly and effectively.
Readings, films, or outside materials come up repeatedly as a real strength rather than filler.
Tradeoffs
Difficulty runs high even when comments do not settle on one dominant complaint.
Best fit for
Best for students who want a structured class rather than chaos.

Student Responses

- Stronger foundation with formal mathematical notation, which has particularly helped in reading scientific papers. - A better understanding of how to construct and analyze mathematical proofs. - Better insight into the usefulness of techniques like projection and optimization.
Fall 2024 · Reeves, Galen
Systematically Mathematics for Machine Learning. Refresh my Memory for Math.
Fall 2024 · Reeves, Galen
Introduction to more rigorous mathematics Better understanding of optimization Solidified knowledge on linear algebra
Fall 2024 · Reeves, Galen
lots of math - mostly linear algebra but with a twist of real analysis, some sprinkles of calculus and abstract algebra. Many applications towards Machine Learning (Optimization).
Fall 2024 · Reeves, Galen
Convex projections, generalized derivatives, the method of alternating projections.
Fall 2024 · Reeves, Galen

Rating History

Rating history
Error bars show \u00B11 std dev
TermInstructorOverallDifficultyHrs/wkEnrolled
Fall 2024Reeves, Galen 3.1Rate My ProfessorsQuality3.1Difficulty3.6Would retake57%Based on 7 ratingsClick to view on RMP →3.64.37.144
Fall 2023Pfister, Henry4.14.18.129

Instructor

Reeves, GalenELEC&CMP
Also teaches
ECE-587 INFORMATION THEORY4.4STA-432 STAT4.0STA-711 PROBABIL/MEASURE THEORY4.3