Recent recorded grades — Spring 2024: 3.55 GPA, 78.9% A/AB (n=19 letter grades); Spring 2025: 3.72 GPA, 82.6% A/AB (n=23 letter grades); Spring 2026: 3.68 GPA, 100.0% A/AB (n=14 letter grades).
Nanomaterials & Nanotechnology
NANOMATERIALS & NANOTECHNOLOGY introduces advanced processing methods for synthesizing nanomaterials, ranging from single nanoparticles to three-dimensional nanostructures.
Summary
Recent recorded grades — Spring 2024: 3.55 GPA, 78.9% A/AB (n=19 letter grades); Spring 2025: 3.72 GPA, 82.6% A/AB (n=23 letter grades); Spring 2026: 3.68 GPA, 100.0% A/AB (n=14 letter grades).
What you’ll be able to do
Comprehend the scope and advances of nanomaterials and nanotechnology
Explain the fundamental physical and chemical knowledges involved in nanoscience
Relate the physical and chemical property of nanomaterials with their performance in different applications
Analyze the synthesis and fabrication of nanomaterials and their devices
Propose research projects that involve the use of nanomaterials/nanotechnology for certain applications
Evaluate a research proposal from fundamental nanomaterials point of view
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapM S & E 350, 351, or CBE 440, graduate/professional standing, or member of Engineering Guest Students
This is a best-effort interpretation; check the catalog requirements above.
Professors
Spring 2027Historical instructors & teaching patterns
DAWEI FENG is recorded teaching in Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 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 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 30 | 0 |
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 — Spring 2024: 3.55 GPA, 78.9% A/AB (n=19 letter grades); Spring 2025: 3.72 GPA, 82.6% A/AB (n=23 letter grades); Spring 2026: 3.68 GPA, 100.0% A/AB (n=14 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Synthesis of nanomaterials from single nanoparticles to 3D nanostructures
- Thermodynamic and kinetic theories of nanomaterial processing
- Characterization of nanomaterial structure and properties
- Current and emerging applications for nanomaterials
- Interdisciplinary nature of nanotechnology and critical challenges
Skills
- Advanced processing methods for synthesizing nanomaterials
- Thermodynamic and kinetic theories for nanomaterial processing
- Characterization methods for nanomaterial structure and properties
- Proposing research projects involving nanomaterials
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
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
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Nanomaterials & Nanotechnology
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:636:023817",
"course_id": "MS&E 553",
"course_uid": "course_1520ef4cba23d07a0ffe1b85",
"term_id": "1274",
"source_course_id": "023817",
"source_subject_id": "636",
"title": "Nanomaterials & Nanotechnology",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Spring"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
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": "769fac348ce89cca2f29596814d987b6186e4581f0f234198a9b4bcfef09ed32",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}