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

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

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
/5Adjusted rating
/5RMP 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

Schedule loads here as you scroll.

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

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.

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"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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"
}