ECE-587
INFORMATION THEORY
Not in Fall 2026
Term
Instructor
Overview
Feedback is mostly positive. The strongest signal is that students generally rate the course well. Difficulty runs on the high side even without a single dominant complaint theme. Best for students who can handle a demanding pace without needing constant hand-holding.
DepartmentELEC&CMP
Terms offeredFall
Typical enrollment13–33
Semesters of data3
5.8
Hrs / week
36
Responses
73
Enrollment
49%
Response Rate
Evaluation Scores
Overall quality
Teaching, content, and experience combined.
4.2
Intellectually stimulating
Challenges students to think deeply.
4.3
Instructor effectiveness
Explains concepts and facilitates learning.
4.3
Difficulty
Higher means harder.
3.8
Feedback Analysis
Feedback Analysishigh
Analysis based on student evaluations
Based on 52 comments across 3 sections
Feedback is mostly positive. The strongest signal is that students generally rate the course well. Difficulty runs on the high side even without a single dominant complaint theme. Best for students who can handle a demanding pace without needing constant hand-holding.
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
• Instructor ratings are strong even when the comments do not cluster around one obvious positive theme.
Tradeoffs
• Difficulty runs high even when comments do not settle on one dominant complaint.
Best fit for
Best for students who can handle a demanding pace without needing constant hand-holding.
Student Responses
Uncertainty Communication
Fall 2023 · Reeves, Galen
information theory basics, such as entropy, channel, applications
Fall 2023 · Reeves, Galen
Information channels Shannon information theory Source coding and channel coding
Fall 2023 · Reeves, Galen
elements of information theory
Fall 2023 · Reeves, Galen
Knowledge: Information theory and coding theory basics Methods: Proof strategies like Shannon's for channel coding Way of thinking: relationship between information and length of sequence in communication
Fall 2023 · Reeves, Galen
Rating History
Rating history
Error bars show \u00B11 std dev
| Term | Instructor | Overall | Difficulty | Hrs/wk | Enrolled |
|---|---|---|---|---|---|
| Fall 2025 | Richmond, Christ 0.0Rate My ProfessorsQuality0.0Difficulty0.0Based on 0 ratingsClick to view on RMP → | — | — | 5.4 | 13 |
| Fall 2024 | Pfister, Henry | 4.1 | 4.2 | 5.5 | 33 |
| Fall 2023 | Reeves, Galen 3.1Rate My ProfessorsQuality3.1Difficulty3.6Would retake57%Based on 7 ratingsClick to view on RMP → | 4.4 | 3.4 | 6.5 | 27 |
Instructor
Richmond, ChristELEC&CMP
Also teaches
ECE-581 RANDOM SIGNALS AND NOISE4.2