Coding for Graphic Design
Coding for Graphic Design explores the aesthetic of computational graphic design and typography with physical interaction, sound, data, and digital fabrication.
Summary
Past student reviews · Dennis Miller
The course was rated as highly difficult by a past student who also found the instructor unwilling to listen to criticism.
What you’ll be able to do
Apply design and typography principles and functions in computational drawing.
Apply mathematic expressions, computer algorithms, and libraries to create computational illustrations.
Demonstrate image, text, video, sound, and data skills to create computational graphic design and typography.
Demonstrate ability to explore linear and non-linear visual storytelling using computer algorithms and physical interaction.
Demonstrate ability to develop ideas from conceptualization to implementation in computational graphic design and typography.
Demonstrate ability to extend visual output from cyberspace to physical space using digital fabrication.
Develop professional documentation for generative graphic design systems.
Cultivate and develop graphic design research and practices with various new mediums, including computation, sound, data, self-portraits, and digital fabrication.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course map(ART 102 or 107),ART 346, and ART 438 or concurrent enrollment inART 438, or declared in (MFA-Art or MS Design + Innovation)
- take one
- ART 346
- take one
- MFA-Art
- MS Design + Innovation
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Any of
- ART 346
- Any of
- Any of
- MFA-Art
- MS Design + Innovation
- All of
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule 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
Past student reviews · Dennis Miller
A past student described the class as not accommodating and noted the instructor was brash and unwilling to take responsibility for his arrogant mistakes.
Recent recorded grades — Spring 2013: 3.78 GPA, 77.8% A/AB (n=9 letter grades); Fall 2013: 3.77 GPA, 100.0% A/AB (n=11 letter grades); Spring 2023: 3.77 GPA, 81.8% A/AB (n=11 letter grades).
difficulty & workload
Past student reviews · Dennis Miller
The course was rated as highly difficult by a past student who also found the instructor unwilling to listen to criticism.
Past student reviews · Dennis Miller
A past student found the instructor frustrating because he did not accommodate their needs and was unwilling to take responsibility for his errors.
Topics
- Computational graphic design and typography
- Visual storytelling and physical interaction
- Generative graphic design systems
Skills
- Computational drawing and typography
- Creating computational illustrations using algorithms
- Linear and non-linear visual storytelling
- Digital fabrication for physical output
- Professional documentation for generative design
Grades
Latest available · Spring 2023— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2023
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 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
[]
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 gradesRecorded 2026-10-14
Model outputs & technical records
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": "cdeb3561a3e3cd0af673f48af4aa71b13f82204b744fc21863d83571dd5e6688",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}