Fall 2026

Web Design for the Sciences

LSC 532 teaches web design for agricultural, life, and social sciences, covering user characteristics, information goals, and evaluation.

offering recorded3 credits
Recorded instructors · Fall 2026 Brianna Van Matre3.7/5

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.82 GPA, 89.5% A/AB (n=19 letter grades); Fall 2025: 3.68 GPA, 92.0% A/AB (n=25 letter grades); Spring 2026: 3.79 GPA, 95.2% A/AB (n=21 letter grades).

Grade history

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

Prerequisites

Course map

Satisfied Communications A or graduate/professional standing

    • Communications A
    • graduate/professional standing
    take one
LSC 532

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of
    • Communications A
    • graduate/professional standing

Professors

Fall 2026
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.00/5 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 2025: 3.82 GPA, 89.5% A/AB (n=19 letter grades); Fall 2025: 3.68 GPA, 92.0% A/AB (n=25 letter grades); Spring 2026: 3.79 GPA, 95.2% A/AB (n=21 letter grades).

Historical instructors & teaching patterns

BRIANNA VAN MATRE is recorded teaching in Spring 2024, Spring 2025, 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction15 / 250

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 2025: 3.82 GPA, 89.5% A/AB (n=19 letter grades); Fall 2025: 3.68 GPA, 92.0% A/AB (n=25 letter grades); Spring 2026: 3.79 GPA, 95.2% A/AB (n=21 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Web user characteristics
  • Science information goals
  • Legal issues in web design

Skills

  • Website design
  • Needs assessment
  • Search strategies
  • Formative evaluation

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
LSC 532 · Fall 2026

Web Design for the Sciences

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": "1272:120:021818",
    "course_id": "LSC 532",
    "course_uid": "course_90852f0f04bb08924f8e4439",
    "term_id": "1272",
    "source_course_id": "021818",
    "source_subject_id": "120",
    "title": "Web Design for the Sciences",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, 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": "caed2db6e4f6c9a4d4c891b6290e8274802ae6d0063e8981316f5990aa1d5ed9",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}