Fall 2026

Interior Design IV

Interior Design IV covers the design of commercial interiors, emphasizing acoustics, codes, costs, specifications, details, and visual presentation.

offering recorded4 credits
Recorded instructors · Fall 2026 Monika Thadhani3.8/5

Summary

1 / 4

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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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

Fall 2026
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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction9 / 180
LAB 301Classroom Instruction9 / 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

  • Acoustics, codes, costs, specifications, and details
  • Commercial interior design

Skills

  • Design of commercial interiors focusing on acoustics, codes, costs, specifications, details, and visual presentation.

Grades

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

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 Fall 2026 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 · Fall 2026

Interior Design IV

Recorded 2026-09-07
Raw records 
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:359:007229",
    "course_id": "DS 623",
    "course_uid": "course_0bd3b8d0298a76a3f5a3c7a5",
    "term_id": "1272",
    "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 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "2698c8fc1b78e5eb217e3ce3c78a3099e0e6f3a89494a256c9859697419509c6",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}