Fall 2026

Navigating the Data Revolution: Concepts of Data & Information Science

LIS 440 introduces data science concepts, covering statistical tests, data management, programming, ethics, and visualization through real-world projects.

offering recorded3 credits
Recorded instructors · Fall 2026 Jeff Nyhoff3.5/5Maria Hyun

Summary

1 / 6

Assignments are repetitive with minor variable changes, and the course offers grace points, making it easy to achieve high grades with minimal effort.

Grade history

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

Prerequisites

Course map

Satisfied Quantitative Reasoning (QR) A, satisfied Communications A, and sophomore standing

    • Satisfied Quantitative Reasoning (QR) A
    • satisfied Communications A
    • sophomore standing
    take all
LIS 440

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

Prerequisite text tree
  • All of
    • Satisfied Quantitative Reasoning (QR) A
    • satisfied Communications A
    • sophomore standing

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.35/5 from 37 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.

For this course: 2.0/5 raw quality · 1.0/5 difficulty · 5 reviews

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

Jeff Nyhoff teaches LIS 440 as an extremely easy course with repetitive assignments and minimal academic rigor. Reviewers criticize the boring lectures for providing little educational value, though one notes the content can be confusing. While some find him personally nice, others report lateness and tangents.

Recent recorded grades — Spring 2025: 3.81 GPA, 91.2% A/AB (n=102 letter grades); Fall 2025: 3.89 GPA, 92.7% A/AB (n=137 letter grades); Spring 2026: 3.91 GPA, 95.1% A/AB (n=103 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

JEFF NYHOFF is recorded teaching in Spring 2023, Spring 2024, Spring 2025, Fall 2025, Spring 2026. 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction149 / 1507

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

Meeting source records
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Student experience

the class

Reviewers describe Jeff Nyhoff's LIS 440 as extremely easy with low difficulty, though opinions on quality vary from waste of money to sweet instruction.

Recent recorded grades — Spring 2025: 3.81 GPA, 91.2% A/AB (n=102 letter grades); Fall 2025: 3.89 GPA, 92.7% A/AB (n=137 letter grades); Spring 2026: 3.91 GPA, 95.1% A/AB (n=103 letter grades).

difficulty & workload

Assignments are repetitive with minor variable changes, and the course offers grace points, making it easy to achieve high grades with minimal effort.

Lectures are criticized as boring or confusing, while the instructor is described as sweet but sometimes late or tangential.

Topics

  • Real-world data analysis
  • Data visualization
  • Data ethics

Skills

  • Graphical data visualization
  • Statistical tests
  • Data management
  • Data programming
  • Data ethics

Grades

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

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

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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.

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Selected offering source records
LIS 440 · Fall 2026

Navigating the Data Revolution: Concepts of Data & Information Science

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:544:026071",
    "course_id": "LIS 440",
    "course_uid": "course_eefb8f2e349aefa0dedfe2e4",
    "term_id": "1272",
    "source_course_id": "026071",
    "source_subject_id": "544",
    "title": "Navigating the Data Revolution: Concepts of Data & Information Science",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-09-07

Download the original dataset
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "84ef0c98665bec0e1f35204cbdeb2aae9c47dd6e947db07c1808f973cf0b7c3f",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}