Fall 2026

Intellectual Property Rights, Innovation and Technology

This course applies economic concepts to analyze intellectual property rights, innovation, competition, and economic growth.

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

Summary

Recent recorded grades — Fall 2016: 3.35 GPA, 61.5% A/AB (n=13 letter grades); Fall 2018: 3.71 GPA, 85.7% A/AB (n=7 letter grades); Fall 2019: 3.64 GPA, 85.7% A/AB (n=7 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing and (ECON 301 or 311)

AAE/MHR 540

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

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Fall 2016: 3.35 GPA, 61.5% A/AB (n=13 letter grades); Fall 2018: 3.71 GPA, 85.7% A/AB (n=7 letter grades); Fall 2019: 3.64 GPA, 85.7% A/AB (n=7 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Economics of intellectual property protection (IPP)
  • Market structure and innovation
  • Interaction between public and private sectors
  • IPP and anticompetitive policies
  • Globalization

Skills

  • Applying economic concepts to analyze technological innovation and competition.
  • Analyzing intellectual property protection, market structures, and public-private sector interactions in the context of globalization.

Grades

Latest available · Fall 2019— 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 2019

More grade details Grade mix, volume & source data

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": "449b3cd092de7be62ed8f3a9d36e8af6414ca64da96e19df2c65e021f61fbae0",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}