Spring 2027

Interior Design IV

Interior Design IV covers the design of commercial interiors with emphasis on acoustics, codes, costs, specifications, details, and visual presentation. A field trip is required.

offering recorded4 credits
Recorded instructors · Spring 2027 Monika Thadhani3.8/5

Summary

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Recent recorded grades — Spring 2024: 3.91 GPA, 92.9% A/AB (n=28 letter grades); Spring 2025: 3.83 GPA, 97.1% A/AB (n=35 letter grades); Spring 2026: 3.90 GPA, 95.2% A/AB (n=21 letter grades).

Grade history

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

Prerequisites

Course map

DS 622

DS 623 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
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 2 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.

Recent recorded grades — Spring 2024: 3.91 GPA, 92.9% A/AB (n=28 letter grades); Spring 2025: 3.83 GPA, 97.1% A/AB (n=35 letter grades); Spring 2026: 3.90 GPA, 95.2% A/AB (n=21 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

MONIKA THADHANI is recorded teaching in Spring 2024, Spring 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
LAB 301Classroom Instruction0 / 180
LEC 001Classroom Instruction0 / 180

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

Recent recorded grades — Spring 2024: 3.91 GPA, 92.9% A/AB (n=28 letter grades); Spring 2025: 3.83 GPA, 97.1% A/AB (n=35 letter grades); Spring 2026: 3.90 GPA, 95.2% A/AB (n=21 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Commercial interior design, acoustics, building codes, cost estimation, specifications, detailing, and visual presentation

Skills

  • Commercial interior design focusing on acoustics, codes, costs, specifications, details, and visual presentation

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

Not enough comparable courses for Spring 2027 in UW–Madison.

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.

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Selected offering source records
DS 623 · Spring 2027

Interior Design IV

Recorded 2026-10-29
Raw records 
[
  {
    "run_id": "20261029T213040-0fa85c20",
    "semester": "1274",
    "observed_at": "2026-10-29 21:30:40.248904+00:00",
    "offering_id": "1274:359:007229",
    "course_id": "DS 623",
    "course_uid": "course_0bd3b8d0298a76a3f5a3c7a5",
    "term_id": "1274",
    "source_course_id": "007229",
    "source_subject_id": "359",
    "title": "Interior Design IV",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Spring"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-29

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.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "b167108d63a2fe75727df1518fae3f7b2bb82fa1b930a6596238d417d6b965b1",
  "requirements_status": "valid",
  "dataset_revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
  "observed_at": "2026-10-29 21:30:40.248904+00:00"
}