Fall 2026

Global Immersion in Marketing

GLOBAL IMMERSION IN MARKETING explores social innovation, globalization, and cultural studies to prepare students for a global marketing immersion experience.

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

Summary

Recent recorded grades — Fall 2025: 3.91 GPA, 93.8% A/AB (n=16 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Consent of instructor

  • Consent of instructor
MARKETNG 350

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

Prerequisite text tree
  • Consent of instructor

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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SectionModeEnrolled / capacityWaitlist

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Meeting source records

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Student experience

the class

Recent recorded grades — Fall 2025: 3.91 GPA, 93.8% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Social innovation, globalization, cultural studies, religion, history, and technology

Skills

  • Personal and leadership qualities for global settings

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
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

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
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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": "f5e1dd6edd84643b4bc91626fc6589c8b1df7e90ccc440afddd50c95582df481",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}