Spring 2027

Introduction to Painting

Introduction to Painting covers technical processes, studio practice, lectures, discussions, and critiques to build foundational skills in painting materials, color, and composition.

offering recorded3–4 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 6

Past student reviews · Carol Pylant

Carol Pylant expected a lot from students, requiring significant time spent on paintings to achieve strong grades.

What you’ll be able to do

  • Develop a basic knowledge of painting materials.

  • Demonstrate experience mixing specific colors and color palettes.

  • Demonstrate a working knowledge of different ways to start a painting.

  • Develop understanding of painting composition and pictorial space.

  • Create a habit of taking risks and making mistakes for the sake of learning.

Source: UW Guide

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

ART 102, 112, 212, or 302

ART 222 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

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

CAROL S. PYLANT is recorded teaching in Fall 2006, Fall 2007, Spring 2008, Fall 2008, Spring 2009, Fall 2009, Spring 2010, Spring 2011. Recorded history may be incomplete and does not establish a future schedule.

DERRICK BUISCH is recorded teaching in Fall 2010, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2015, Spring 2016, Fall 2016, Spring 2018, Fall 2018, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

FREDERICK STONEHOUSE is recorded teaching in Fall 2006, Spring 2007, Spring 2008, Spring 2012, Spring 2019. Recorded history may be incomplete and does not establish a future schedule.

JORDAN ADAMS is recorded teaching in Fall 2015, Spring 2016, Spring 2017, Fall 2017. 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
LAB 001Classroom Instruction0 / 170
LAB 002Classroom Instruction0 / 170
LAB 003Classroom 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 · Derrick Buisch

Students found this class to be one of their favorites, recommending it as a positive and supportive learning environment.

Recent recorded grades — Spring 2025: 3.84 GPA, 93.9% A/AB (n=49 letter grades); Fall 2025: 3.89 GPA, 96.2% A/AB (n=53 letter grades); Spring 2026: 3.93 GPA, 95.7% A/AB (n=47 letter grades).

difficulty & workload

Past student reviews · Carol Pylant

Carol Pylant expected a lot from students, requiring significant time spent on paintings to achieve strong grades.

Past student reviews · Derrick Buisch

Derrick Buisch was flexible with due dates and offered revisions and extra credit opportunities to help students earn more points.

Topics

  • Technical processes of painting
  • Color mixing and palettes
  • Composition and pictorial space

Skills

  • Basic knowledge of painting materials
  • Mixing specific colors and color palettes
  • Painting composition and pictorial space

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

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

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 222 · Spring 2027

Introduction to Painting

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": "1274:168:001088",
    "course_id": "ART 222",
    "course_uid": "course_24e095fd97d14303e7375a4f",
    "term_id": "1274",
    "source_course_id": "001088",
    "source_subject_id": "168",
    "title": "Introduction to Painting",
    "credits_min": 3,
    "credits_max": 4,
    "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": "fc5cf9589338ffb9042b24e52576f87c2be6c8af4f454b28d1fe48df3ab43d88",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}