Fall 2026

Introduction to Data Visualization

Introduction to data visualization covering perception, design, implementation, and evaluation.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 5

Historical reviews of Cynthia Jasper: The workload involves leading two discussions and writing one 8-10 page paper graded on completion, rated as very easy.

Grade history

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

Prerequisites

Course map

COMP SCI 320, 400, or Graduate/Professional Standing

COMPSCI 565

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

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

No current instructor is listed for this course. Historical reviews for Cynthia Jasper describe her as highly rated and easy, with students leading discussions and writing a single completion-graded paper.

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

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

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 describe Cynthia Jasper as an excellent instructor with an easy course load focused on discussion leadership and a single completion-graded paper.

Recent recorded grades — Spring 2024: 3.84 GPA, 92.1% A/AB (n=76 letter grades).

difficulty & workload

Historical reviews of Cynthia Jasper: The workload involves leading two discussions and writing one 8-10 page paper graded on completion, rated as very easy.

Historical reviews of Cynthia Jasper: Students found the class highly enjoyable, with one reviewer calling it their favorite UW professor experience.

Topics

  • Perception, cognition, and communication in visualization.
  • Data visualization theory and tools.

Skills

  • Designing and evaluating visualizations.
  • Applying data visualization concepts, theory, and tools.

Grades

Latest available · Spring 2024— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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BC
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More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2024 · 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

1241 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.

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
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "0a2e3e32b31634ec9d8087120f529f14bcd1646f0469f6e3eddcc45dc1706a79",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}