Spring 2027

Medical Instrumentation

Medical Instrumentation covers design and application of electrodes, biopotential amplifiers, biosensors, therapeutic devices, medical imaging, electrical safety, and physiological measurements.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 8

Past student reviews · Amit Nimunkar

The course structure was inconsistent, with fewer homework sets than expected, unpredictable prelab quizzes, and lectures that frequently ran long.

What you’ll be able to do

  • Solve complicated mathematical problems for electrical and electronic circuits

  • Employ simulation tools to test and analyze electronic circuits for measuring physiological signals

  • Design electronic schematics for advanced instrumentation system using software tools

  • Solder and build advanced instrumentation system for measuring physiological signals

  • Program a microcontroller to acquire and process physiological signals

  • Perform experiments using the instrumentation system, analyze data and draw conclusions

  • Demonstrate an ability to formulate, analyze and, independently design and build instrumentation system to measure physiological signals

Source: UW Guide 1 UW Guide 2

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

E C E 340, graduate/professional standing, or member of Engineering Guest Students

    • ECE 340
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
BME/ECE 462

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

Prerequisite text tree
  • Any of
    • ECE 340
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

AMIT NIMUNKAR is recorded teaching in Fall 2009, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

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

Meeting source records
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Student experience

the class

Past student reviews · Amit Nimunkar

Students found the instructor kind and effective at explaining concepts, which helped maintain engagement even when the material was challenging.

Recent recorded grades — Fall 2023: 3.21 GPA, 57.1% A/AB (n=28 letter grades); Fall 2024: 3.32 GPA, 58.8% A/AB (n=34 letter grades); Fall 2025: 3.33 GPA, 63.2% A/AB (n=38 letter grades).

difficulty & workload

Past student reviews · Amit Nimunkar

The course structure was inconsistent, with fewer homework sets than expected, unpredictable prelab quizzes, and lectures that frequently ran long.

Past student reviews · Amit Nimunkar

Amit Nimunkar provided detailed, respectful feedback on a regrade request, writing over 300 words with references to prove the student was wrong.

Topics

  • Electrodes, biopotential amplifiers, biosensors, and therapeutic devices.
  • Medical imaging, electrical safety, and measurement of ventilation, blood pressure, and flow.

Skills

  • Design and application of electrodes, biopotential amplifiers, biosensors, and therapeutic devices.
  • Medical imaging, electrical safety, and measurement of ventilation, blood pressure, and flow.
  • Programming microcontrollers to acquire and process physiological signals.
  • Soldering and building advanced instrumentation systems for physiological signal measurement.

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.

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Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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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
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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": "ca44fea512bc4ede905f43e4668e59b7d35cc25307226ff48c9384bb4dd701db",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}