Spring 2027

Introduction to Digital Forms

Introduction to digital forms covering digital imaging, vector graphics, web design, and 3D modeling with emphasis on creative development and technical skills.

offering recorded3 credits
Recorded instructors · Spring 2027 Meg Mitchell3.5/5Cristina Rodriguez RojasIndigo Naar

Summary

1 / 6

Past student reviews · Meg Mitchell

Projects were spaced out well, and TAs graded work generously. One student described the exams as easy and noted the class was otherwise manageable.

What you’ll be able to do

  • Use basic raster, 3d design, video and code technologies in the creation of works of art.

  • Effectively combine elements of visual, spatial, and networked organization to create narrative, associative, and metaphorical compositions.

  • Speak and write critically about personal and peer artworks and propose alternatives.

Source: UW Guide

Grade history

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

Prerequisites

Course map

None

  • None
ART 107 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • None

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.36/5 from 22 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.

Past student reviews · Meg Mitchell

Meg Mitchell covered five main units including Photoshop, GIFs, video, 3D modeling, and coding. Students noted that projects were spaced out well, TAs graded work generously, and exams were easy.

Some students found Meg Mitchell's teaching unclear and criticized her for barely covering basics, providing half-finished examples, and ignoring emails about ungraded work.

Recent recorded grades — Fall 2024: 3.90 GPA, 96.9% A/AB (n=128 letter grades); Fall 2025: 3.82 GPA, 95.1% A/AB (n=122 letter grades); Spring 2026: 3.74 GPA, 85.6% A/AB (n=139 letter grades).

Historical instructors & teaching patterns

Past student reviews · Jeffrey Repko

Historical instructor Jeffrey Repko taught the course with an approachable style, assigning creative projects and offering support for both idea development and software use. He frequently brought food to class and made learning programs enjoyable, while also encouraging students to explore their own interests during critiques. Both reviewers found his teaching fun and supportive, rating the difficulty low and the quality very high.

JEFFREY REPKO is recorded teaching in Fall 2016, Spring 2017, Fall 2017, Spring 2018. Recorded history may be incomplete and does not establish a future schedule.

MEG MITCHELL is recorded teaching in Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Spring 2024, Fall 2024, 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 1640
LAB 301Classroom Instruction0 / 170
LAB 302Classroom Instruction0 / 170
LAB 304Classroom Instruction0 / 170
LAB 303Classroom Instruction0 / 170
LAB 305Classroom Instruction0 / 170
LAB 306Classroom Instruction0 / 170

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

Past student reviews · Meg Mitchell

Meg Mitchell covered five units including Photoshop, GIFs, Video, 3D Modeling, and Coding, providing a broad overview of digital art tools.

Recent recorded grades — Spring 2025: 3.85 GPA, 94.2% A/AB (n=155 letter grades); Fall 2025: 3.82 GPA, 95.1% A/AB (n=122 letter grades); Spring 2026: 3.74 GPA, 85.6% A/AB (n=139 letter grades).

difficulty & workload

Past student reviews · Meg Mitchell

Projects were spaced out well, and TAs graded work generously. One student described the exams as easy and noted the class was otherwise manageable.

Past student reviews · Meg Mitchell

One student found lectures meaningless and preferred working on other tasks, while also expressing discomfort with the instructor's encouragement of AI use in an art discipline.

Topics

  • Digital imaging, vector graphics, web design, and 3D digital modeling
  • Raster, 3D design, video, and code technologies
  • Visual, spatial, and networked organization for narrative and metaphorical compositions

Skills

  • Creative development and technical skill building in digital media
  • Using basic raster, 3D design, video, and code technologies to create art
  • Combining visual, spatial, and networked organization elements to create compositions
  • Speaking and writing critically about artworks and proposing alternatives

Grades

Historical instructor

Spring 2027 · 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 5 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.

8 earlier forecasts · 0.06 GPA average error.

Grades over time

Through Spring 2027

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

1280 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
ART 107 · Spring 2027

Introduction to Digital Forms

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:168:023557",
    "course_id": "ART 107",
    "course_uid": "course_95d48b1ac7a4c6b4599a9502",
    "term_id": "1274",
    "source_course_id": "023557",
    "source_subject_id": "168",
    "title": "Introduction to Digital Forms",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
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 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "b822d3422b3b0f305f2d1870d419810d9e82bbe8891a137a4c3aa664f4392fe5",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}