Fall 2026

Communication in Complex Organizations

Examines problem solving and communication in complex organizations, focusing on pitfalls, biases, and blind spots to improve team innovation and decision quality.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Spring 2022: 3.64 GPA, 66.7% A/AB (n=18 letter grades); Fall 2024: 3.28 GPA, 64.0% A/AB (n=25 letter grades); Fall 2025: 3.30 GPA, 63.6% A/AB (n=22 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Junior standing

  • Junior standing
COMARTS 575

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Prerequisite text tree
  • Junior standing

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2022: 3.64 GPA, 66.7% A/AB (n=18 letter grades); Fall 2024: 3.28 GPA, 64.0% A/AB (n=25 letter grades); Fall 2025: 3.30 GPA, 63.6% A/AB (n=22 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Communication pitfalls, decision-making biases, and problem-solving blind spots
  • Problem solving within complex organizations

Skills

  • Innovate in teams and make high-quality decisions

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
B
BC
C
D
F

Grades over time

Through Fall 2025

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

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Student reviews

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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
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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": "04fc471636aab6a207b4f5e376a52e52f7fa429a6694d6b1c7631a892388536c",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}