Spring 2027

Special Topics in Bioinstrumentation and Medical Devices

A course covering various special topics in bioinstrumentation and medical devices.

offering recorded1–3 credits
Recorded instructors · Spring 2027 Yang Lu3.5/5

Summary

1 / 6

Past student reviews · Justin Williams

The class was not work-heavy, though a big project toward the end of the semester required preparation.

What you’ll be able to do

  • Identify and describe key theories, concepts, and methods in bioinstrumentation and medical devices

  • Apply key theories, concepts, and methods in bioinstrumentation and medical devices, using appropriate tools, processes, and/or software

  • Apply, analyze, or evaluate advanced theories, concepts, or methods in bioinstrumentation and medical devices

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

None

  • None
BME 603

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

Prerequisite text tree
  • None

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 1.00/5 from 1 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.

No course-specific feedback yet.

Historical instructors & teaching patterns

JUSTIN WILLIAMS is recorded teaching in 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LAB 002Classroom Instruction0 / 300

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

Past student reviews · Justin Williams

Justin Williams taught a wonderful neuroengineering seminar that was fun and not work-heavy, allowing students to learn a lot about the field.

Recent recorded grades — Fall 2024: 3.97 GPA, 96.8% A/AB (n=31 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=31 letter grades).

difficulty & workload

Past student reviews · Justin Williams

The class was not work-heavy, though a big project toward the end of the semester required preparation.

Past student reviews · Justin Williams

Justin Williams was a kind grader and was always happy to answer questions and discuss concepts.

Topics

  • Bioinstrumentation
  • Medical devices

Skills

  • Apply key theories, concepts, and methods in bioinstrumentation and medical devices using appropriate tools, processes, or software.
  • Apply, analyze, or evaluate advanced theories, concepts, or methods in bioinstrumentation and medical devices.

Grades

Latest available · Fall 2025— 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 Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1316 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
BME 603 · Spring 2027

Special Topics in Bioinstrumentation and Medical Devices

Recorded 2026-10-14
BME 603 · Spring 2027

Applied A.I. for Biomed. Engr

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": "1274:207:012099",
    "course_id": "BME 603",
    "course_uid": "course_5154658a951b644b22f51765",
    "term_id": "1274",
    "source_course_id": "012099",
    "source_subject_id": "207",
    "title": "Special Topics in Bioinstrumentation and Medical Devices",
    "credits_min": 1,
    "credits_max": 3,
    "typically_offered": "Occasionally"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:207:012099.11",
    "course_id": "BME 603",
    "course_uid": "course_5154658a951b644b22f51765",
    "term_id": "1274",
    "source_course_id": "012099.11",
    "source_subject_id": "207",
    "title": "Applied A.I. for Biomed. Engr",
    "credits_min": 1,
    "credits_max": 3,
    "typically_offered": "Occasionally"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
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": "2a656be9e49f7379e7f8f740794913f96b626dac108122ea5131d6aa74849e48",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}