Fall 2026

Data Visualization

COMPSCI 765 covers principles of data visual presentation, surveying Information Visualization, Scientific Visualization, and Visual Analytics.

offering recorded3 credits
Recorded instructors · Fall 2026 Michael Gleicher3.5/5

Summary

1 / 6

Reviewers report that assignments toward the end of the semester felt like busywork rather than meaningful learning.

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
COMPSCI 765

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Fall 2026

Michael Gleicher

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

Raw average: 3.33/5 from 21 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: 1.7/5 raw quality · 3.0/5 difficulty · 3 reviews

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

Michael Gleicher is described as a good lecturer but extremely unorganized, with unclear expectations and grading criteria. Reviewers report unstructured grading, busywork assignments, and a lack of transparency, leading to strong recommendations against the course for grade-conscious students.

Recent recorded grades — Fall 2022: 3.62 GPA, 90.0% A/AB (n=60 letter grades); Fall 2024: 3.60 GPA, 92.5% A/AB (n=67 letter grades); Fall 2025: 3.66 GPA, 95.5% A/AB (n=44 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

MICHAEL GLEICHER is recorded teaching in Spring 2017, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2024, Fall 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction68 / 700

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

Meeting source records
Download part 1

Student experience

the class

Michael Gleicher receives mixed feedback, with one reviewer noting he is a good lecturer, while others describe the course as extremely unorganized and unstructured.

Recent recorded grades — Fall 2022: 3.62 GPA, 90.0% A/AB (n=60 letter grades); Fall 2024: 3.60 GPA, 92.5% A/AB (n=67 letter grades); Fall 2025: 3.66 GPA, 95.5% A/AB (n=44 letter grades).

difficulty & workload

Reviewers report that assignments toward the end of the semester felt like busywork rather than meaningful learning.

Students find grading criteria and expectations to be unclear and unstructured, which is frustrating for those concerned about grades.

Topics

  • Information Visualization, Scientific Visualization, and Visual Analytics
  • Foundations in visual design, human perception, and data analysis
  • Encodings, layout and interaction
  • Visualization of complex data types

Skills

  • Design and evaluation of visualizations and interactive exploration tools
  • Use of 2D, 3D and motion in data presentations

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 4 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

4 earlier forecasts · 0.03 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1320 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.

Download part 1
Selected offering source records
COMPSCI 765 · Fall 2026

Data Visualization

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": "1272:266:024688",
    "course_id": "COMPSCI 765",
    "course_uid": "course_3a891709cd89ccc2056218ba",
    "term_id": "1272",
    "source_course_id": "024688",
    "source_subject_id": "266",
    "title": "Data Visualization",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
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": "a1e2d098151e23240f46d690112d133a7fc02f221f1ec40bef52165dfa0e2c80",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}