Fall 2026

Technology Strategy and Product Management Applied Learning

OTM 777 provides applied learning in Technology Strategy and Product Management through case studies, guest speakers, and industry meetings.

offering recorded1 credits
Recorded instructors · Fall 2026 David Dwight3.8/5

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.91 GPA, 100.0% A/AB (n=23 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Spring 2026: 3.98 GPA, 100.0% A/AB (n=21 letter grades).

Grade history

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

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
OTM 777

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Fall 2026
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.17/5 from 6 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: 3.91 GPA, 100.0% A/AB (n=23 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Spring 2026: 3.98 GPA, 100.0% A/AB (n=21 letter grades).

Historical instructors & teaching patterns

DAVID DWIGHT is recorded teaching in Fall 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 Instruction4 / 500

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: 3.91 GPA, 100.0% A/AB (n=23 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Spring 2026: 3.98 GPA, 100.0% A/AB (n=21 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Technology Strategy and Product Management (TSPM)
  • Industry engagement and guest lectures

Skills

  • Career and leadership development
  • Case study analysis

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
OTM 777 · Fall 2026

Technology Strategy and Product Management Applied Learning

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": "1272:238:026843",
    "course_id": "OTM 777",
    "course_uid": "course_53c58d1b4e7fca6e4fe6d0c0",
    "term_id": "1272",
    "source_course_id": "026843",
    "source_subject_id": "238",
    "title": "Technology Strategy and Product Management Applied Learning",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Not Applicable"
  }
]
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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": "4c2725fe72368f1581ed15bfe3d9fe88c7259e7cac1fe0807d2fa6e074162d07",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}