Fall 2026

Synthesis & Characterization Lab

MS&E 362 is a laboratory course focusing on the synthesis and characterization of materials, including experiments on mechanical and electronic properties, computer instrument control, and data analysis.

offering recorded3 credits
Recorded instructors · Fall 2026 Jason KawasakiRahul RawatYikai Wang

Summary

1 / 4

Recent recorded grades — Fall 2023: 3.55 GPA, 78.9% A/AB (n=19 letter grades); Fall 2024: 3.72 GPA, 100.0% A/AB (n=27 letter grades); Fall 2025: 3.77 GPA, 86.7% A/AB (n=15 letter grades).

Grade history

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average GPA
letter grades
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AB
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BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

M S & E 361

MS&E 362 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

Fall 2026

Recent recorded grades — Fall 2023: 3.55 GPA, 78.9% A/AB (n=19 letter grades); Fall 2024: 3.72 GPA, 100.0% A/AB (n=27 letter grades); Fall 2025: 3.77 GPA, 86.7% A/AB (n=15 letter grades). Includes jointly taught sections.

Recent recorded grades — Fall 2025: 3.77 GPA, 86.7% A/AB (n=15 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

JASON KAWASAKI is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

RAHUL RAWAT is recorded teaching in 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction22 / 430
LAB 302Classroom Instruction6 / 150
LAB 303Classroom Instruction16 / 170

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

Recent recorded grades — Fall 2023: 3.55 GPA, 78.9% A/AB (n=19 letter grades); Fall 2024: 3.72 GPA, 100.0% A/AB (n=27 letter grades); Fall 2025: 3.77 GPA, 86.7% A/AB (n=15 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Mechanical and electronic properties of matter.
  • Thin films.
  • Computer instrument control.
  • Data analysis.

Skills

  • Conducting experiments on mechanical and electronic properties of matter.
  • Computer instrument control.
  • Data analysis.

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

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

Not enough comparable courses for Fall 2026 in UW–Madison.

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
MS&E 362 · Fall 2026

Synthesis & Characterization Lab

Recorded 2026-09-07
Raw records 
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:636:012629",
    "course_id": "MS&E 362",
    "course_uid": "course_efc09f1f3f2865555a5ec7a2",
    "term_id": "1272",
    "source_course_id": "012629",
    "source_subject_id": "636",
    "title": "Synthesis & Characterization Lab",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "2b8b52ab2914afbca79016adef38efb14c9ed9ac075c072300eb25ee70a43888",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}