Spring 2027

Sensors Laboratory

Hands-on lab course introducing various sensor types and addressing implementation issues like interference, isolation, linearity, amplification, and grounding in electronic circuits.

offering recorded1 credits
Recorded instructors · Spring 2027 Mark Allie3.0/5

Summary

1 / 3

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=34 letter grades); Fall 2025: 3.96 GPA, 98.0% A/AB (n=49 letter grades); Spring 2026: 3.94 GPA, 95.2% A/AB (n=63 letter grades).

What you’ll be able to do

  • Predict electronic circuit outcomes using equations and simulations

  • Compare physical electronic circuit functionality to predicted functionality

  • Specify the analog signal processing required to generate usable sensor signals

  • Design electronic circuits with the necessary signal processing to convert sensor signals to usable electronic signals

  • Construct electronic circuits to process sensors signals

  • Verify operation of sensor signal processing circuits using electronic measuring instruments such as multi-meters, oscilloscopes and spectrum analyzers

  • Communicate test results from electrical measurements using tables, equations and graphs

Source: UW Guide

Grade history

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

Prerequisites

Course map

E C E 271 and (E C E 340 or concurrent enrollment), or member of Engineering Guest Students

ECE 317 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.28/5 from 18 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: 4.00 GPA, 100.0% A/AB (n=34 letter grades); Fall 2025: 3.96 GPA, 98.0% A/AB (n=49 letter grades); Spring 2026: 3.94 GPA, 95.2% A/AB (n=63 letter grades).

Historical instructors & teaching patterns

MARK ALLIE is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LAB 001Classroom Instruction0 / 180
LAB 002Classroom Instruction0 / 180
LAB 003Classroom Instruction0 / 180
LAB 004Classroom Instruction0 / 180

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
Download part 1

Student experience

the class

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=34 letter grades); Fall 2025: 3.96 GPA, 98.0% A/AB (n=49 letter grades); Spring 2026: 3.94 GPA, 95.2% A/AB (n=63 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Variety of different sensor types
  • Implementation concerns: interference, isolation, linearity, amplification, and grounding
  • Analog signal processing for sensor signals

Skills

  • Predicting electronic circuit outcomes using equations and simulations
  • Designing electronic circuits for sensor signal conversion
  • Verifying circuit operation using multimeters, oscilloscopes, and spectrum analyzers

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

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

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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.

Download part 1
Selected offering source records
ECE 317 · Spring 2027

Sensors Laboratory

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:320:006321",
    "course_id": "ECE 317",
    "course_uid": "course_44b862738c858e3b980f3043",
    "term_id": "1274",
    "source_course_id": "006321",
    "source_subject_id": "320",
    "title": "Sensors Laboratory",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Spring"
  }
]
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
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "350a306456efe228474f985ae29c76882933737dddb4a8567c4e1dade4f38fcd",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}