Ethics for Data Scientists

Educates data scientists working with biomedical data on ethical and regulatory issues arising in research and professional interactions.

offering recorded1 credits
Recorded instructors · Spring 2027 Mark Craven3.7/5

Summary

1 / 3

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=16 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 3.60 GPA, 71.4% A/AB (n=21 letter grades).

What you’ll be able to do

  • Identify ethical issues and recognize challenges to integrity that arise during the course of planning and conducting research or reporting research results.

  • Formulate a justified response to an ethical issue or integrity challenge, using ethical decision-making approaches and concepts.

  • Identify where to find professional resources that provide guidance for resolving ethical and research integrity issues.

  • Conduct improved discussions about ethical issues.

Source: UW Guide

Grade history

↗
average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
BMI 738

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.00/5 from 3 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Spring 2024: 4.00 GPA, 100.0% A/AB (n=16 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

MARK CRAVEN is recorded teaching in Spring 2022, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 250

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=16 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 3.60 GPA, 71.4% A/AB (n=21 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Ethical and regulatory issues in research
  • Research integrity challenges
  • Discussions about ethical issues

Skills

  • Ethical decision-making
  • Identifying ethical issues and integrity challenges
  • Locating professional resources for ethical guidance

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

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
BMI 738 · Spring 2027

Ethics for Data Scientists

Recorded 2026-10-29
Raw records
[
  {
    "run_id": "20261029T213040-0fa85c20",
    "semester": "1274",
    "observed_at": "2026-10-29 21:30:40.248904+00:00",
    "offering_id": "1274:210:026182",
    "course_id": "BMI 738",
    "course_uid": "course_547d6d29227ed3c83b22ac06",
    "term_id": "1274",
    "source_course_id": "026182",
    "source_subject_id": "210",
    "title": "Ethics for Data Scientists",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Not Applicable"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "2f7ad6ad6e4e34fba0cd377c8d087d3817b8ccab4fe3031cd6bf6cfe9427a9f8",
  "requirements_status": "valid",
  "dataset_revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
  "observed_at": "2026-10-29 21:30:40.248904+00:00"
}