Advanced Materials Selection

Advanced materials selection course developing a structured approach to handle complex design problems with multiple constraints and conflicting objectives.

offering recorded3 credits
Recorded instructors · Spring 2027 Michael DeCicco

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.39 GPA, 54.5% A/AB (n=22 letter grades); Spring 2025: 3.40 GPA, 53.3% A/AB (n=30 letter grades); Spring 2026: 3.21 GPA, 46.2% A/AB (n=26 letter grades).

What you’ll be able to do

  • Identify designs at risk of brittle fracture

  • Apply a basic fracture mechanics approach to minimize chance of part failure

  • Apply corrosion mitigation techniques to material selection and design problems

  • Apply a systematic process to materials selection

  • Interpret microstructure of metallic alloys and predict material property development

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

(M S & E 350 and M E 310), M E 313,M S & E 332, graduate/professional standing, or member of Engineering Guest Students

  • take one
ME 437

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

Prerequisite text tree
  • Any of

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.39 GPA, 54.5% A/AB (n=22 letter grades); Spring 2025: 3.40 GPA, 53.3% A/AB (n=30 letter grades); Spring 2026: 3.21 GPA, 46.2% A/AB (n=26 letter grades).

Historical instructors & teaching patterns

MICHAEL DECICCO is recorded teaching in Spring 2017, 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 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 350

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: 3.39 GPA, 54.5% A/AB (n=22 letter grades); Spring 2025: 3.40 GPA, 53.3% A/AB (n=30 letter grades); Spring 2026: 3.21 GPA, 46.2% A/AB (n=26 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Fracture mechanics, corrosion, manufacturing processes, property development, and material analysis techniques.

Skills

  • Fracture mechanics application for brittle fracture identification and failure minimization.
  • Corrosion mitigation techniques for material selection and design.
  • Systematic process for materials selection.
  • Microstructure interpretation and prediction of material property development.

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
ME 437 · Spring 2027

Advanced Materials Selection

Recorded 2026-10-14
Raw records
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    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:612:012029",
    "course_id": "ME 437",
    "course_uid": "course_828b8642951baad0f6dd6d5a",
    "term_id": "1274",
    "source_course_id": "012029",
    "source_subject_id": "612",
    "title": "Advanced Materials Selection",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Occasionally"
  }
]
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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
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  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "68b8a72e17ab606893fc756586eb85e008c792e0abd51b6004d94e2f59b27332",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}