Polymer Characterization

Covers quantitative and qualitative characterization of polymeric materials, assessing synthesis and structural features across length scales using NMR, GPC, thermal, and rheological techniques.

offering recorded3 credits
Recorded instructors · Spring 2027 Nicole Zacharia

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.85 GPA, 100.0% A/AB (n=10 letter grades); Spring 2025: 3.94 GPA, 100.0% A/AB (n=8 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

What you’ll be able to do

  • Analyze the chemical composition of an unknown polymeric sample.

  • Evaluate the molecular weight of an unknown material through multiple methods.

  • Quantify characteristics such as percent crystallinity or orientation in order to relate processing conditions to mechanical properties.

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

Graduate/professional standing or declared in Capstone Certificate in Polymer Processing & Manufacturing

  • Graduate/professional standing or declared in Capstone Certificate in Polymer Processing & Manufacturing
EPD 637

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

Prerequisite text tree
  • Graduate/professional standing or declared in Capstone Certificate in Polymer Processing & Manufacturing

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.85 GPA, 100.0% A/AB (n=10 letter grades); Spring 2025: 3.94 GPA, 100.0% A/AB (n=8 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

Historical instructors & teaching patterns

NICOLE ZACHARIA is recorded teaching in Fall 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 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Online Only0 / 250

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: 3.85 GPA, 100.0% A/AB (n=10 letter grades); Spring 2025: 3.94 GPA, 100.0% A/AB (n=8 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • NMR, GPC, thermal, rheological, and scattering techniques
  • Industrial characterization methods and polymer crystallography

Skills

  • Analyze chemical composition of polymeric samples
  • Evaluate molecular weight using multiple methods
  • Quantify crystallinity and orientation to relate processing to properties

Grades

Latest available · Spring 2026— 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 Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 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.

Selected offering source records
EPD 637 · Spring 2027

Polymer Characterization

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": "1274:348:025641",
    "course_id": "EPD 637",
    "course_uid": "course_b617a07c8c61c1bd93fbd159",
    "term_id": "1274",
    "source_course_id": "025641",
    "source_subject_id": "348",
    "title": "Polymer Characterization",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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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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Model outputs & technical records
Qwen/Qwen3.8-27B
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": "904dc13a782ff89575645264e67a81f9454ceb93768acb648570b64228b6c72c",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}