Nanotechnology in Neuroscience
Explores principles of micro- and nano-technology applied to neuroscience, covering in vitro and in vivo experimentation, neural signal recording, and nanoscale electrode design.
Summary
Recent recorded grades — Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).
What you’ll be able to do
Evaluate nerve cell signaling and apply signal processing methods for analyzing neural signals
Create nanofabrication processes for designing nano-scale patterning neural recording devices
Analyze neuron-device interface and compute coupling using equivalent electrical circuit models
Evaluate chemical synthesis techniques for biocompatible device coating, cell patterning, and nanoparticle-based sensing
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Recent recorded grades — Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- In vitro and in vivo neurobiological experimentation
- Recording and processing neural signals
- Nanostructured electrode properties
- Multielectrode arrays (MEAs)
- Cell electrode coupling and electrophysiology
Skills
- Signal processing methods for analyzing neural signals
- Nanofabrication processes for neural recording devices
- Computing coupling using equivalent electrical circuit models
- Chemical synthesis techniques for biocompatible coatings and sensing
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
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Selected offering source records
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Raw records
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Student reviews
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Read original reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "11e81de94afc5ab0968562d50e542da341843bc668a738205503ba6104beaca4",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}