Fall 2026

Precision Measurements

ME 768 teaches concepts for predicting, characterizing, and reducing noise in measurements to improve signal-to-noise ratios and detection limits.

offering recorded3 credits
Recorded instructors · Fall 2026 Dakotah Thompson3.8/5

Summary

1 / 3

Recent recorded grades — Fall 2023: 3.88 GPA, 100.0% A/AB (n=12 letter grades); Fall 2024: 3.96 GPA, 100.0% A/AB (n=28 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=24 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ME 768

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 — Fall 2023: 3.88 GPA, 100.0% A/AB (n=12 letter grades); Fall 2024: 3.96 GPA, 100.0% A/AB (n=28 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=24 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

DAKOTAH THOMPSON is recorded teaching in Fall 2023, Fall 2024, Fall 2025. 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

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction13 / 200

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 — Fall 2023: 3.88 GPA, 100.0% A/AB (n=12 letter grades); Fall 2024: 3.96 GPA, 100.0% A/AB (n=28 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=24 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Noise prediction and characterization
  • Signal-to-noise ratio improvement
  • Detection limits

Skills

  • Predicting, characterizing, and reducing measurement noise
  • Improving signal-to-noise ratio
  • Determining ultimate detection limits

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

A
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

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
ME 768 · Fall 2026

Precision Measurements

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": "1272:612:026514",
    "course_id": "ME 768",
    "course_uid": "course_78cb3c4a4f63c569e0f4d904",
    "term_id": "1272",
    "source_course_id": "026514",
    "source_subject_id": "612",
    "title": "Precision Measurements",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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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": "6bf3c8b2e5e7ef4facff2ccba68e6f2aef46f6ca32fa76a54e90c519c3792763",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}