Ethics of Data for Engineers
Covers ethical issues in data engineering, including algorithmic fairness, differential privacy, and robustness.
Summary
Historical reviews of Kangwook Lee: Homeworks are long but fair, while exams present intimidating problems that may have minimal wording.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course map(I SY E 521, 562,M E/COMP SCI/E C E 532, or 539) and (E C E 331,MATH/STAT 309,STAT 311,MATH 331, or STAT/MATH 431), or graduate/professional standing
- take one
- take one
- graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- graduate/professional standing
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Kangwook Lee: Kangwook Lee is an expert in Machine Learning who delivers clear, math-heavy lectures and is accessible outside of class. He cares about student learning, assigns long but fair homeworks, and grades leniently despite intimidating exams.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Historical reviews of Kangwook Lee: Kangwook Lee teaches a math-heavy machine learning course with clear lectures and accessible support, though exams can be intimidating despite lenient grading.
Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2025: 3.85 GPA, 100.0% A/AB (n=10 letter grades).
difficulty & workload
Historical reviews of Kangwook Lee: Homeworks are long but fair, while exams present intimidating problems that may have minimal wording.
Historical reviews of Kangwook Lee: Students benefit from the instructor's expertise and accessibility outside of class, though the mathematical intensity and exam style may cause anxiety.
Topics
Skills
Grades
Latest available · Spring 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Fall 2026 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "d2fcb5de80b87f46712f9d5d8b50d42ffc73e7c0436d7b1ce183e81b6239e041",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}