Spring 2027

Engineering Analysis for Decision Making

Engineering Analysis for Decision Making covers quantitative/qualitative analysis, visualization, and structured decision-making for engineering applications like process control and forecasting.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.62 GPA, 88.2% A/AB (n=17 letter grades); Fall 2025: 3.68 GPA, 90.9% A/AB (n=11 letter grades); Spring 2026: 3.65 GPA, 88.2% A/AB (n=17 letter grades).

What you’ll be able to do

  • Apply foundational quantitative and qualitative analysis tools and data visualization techniques to engineering applications

  • Apply a structured decision-making methodology to identify, evaluate and recommend the most suitable solution to engineering applications

  • Present an analysis and proposed solutions in a structured written and/or presentation format designed to facilitate persuasive problem-solving and decision making in engineering applications

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 Applied Engineering Management

  • Graduate/professional standing or declared in Capstone Certificate in Applied Engineering Management
EPD 610

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

Prerequisite text tree
  • Graduate/professional standing or declared in Capstone Certificate in Applied Engineering Management

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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 / 190

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 — Spring 2025: 3.62 GPA, 88.2% A/AB (n=17 letter grades); Fall 2025: 3.68 GPA, 90.9% A/AB (n=11 letter grades); Spring 2026: 3.65 GPA, 88.2% A/AB (n=17 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Quantitative and qualitative analysis and visualization tools.
  • Structured decision-making methodology.
  • Variations in materials and production, process control, forecasting, and executive decision making.

Skills

  • Applying quantitative and qualitative analysis tools and data visualization techniques.
  • Using structured decision-making methodologies to evaluate and recommend solutions.
  • Presenting analyses and solutions in written or presentation formats.

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.

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Selected offering source records
EPD 610 · Spring 2027

Engineering Analysis for Decision Making

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": "1274:348:026288",
    "course_id": "EPD 610",
    "course_uid": "course_9b2b04b8fd86f219b149592b",
    "term_id": "1274",
    "source_course_id": "026288",
    "source_subject_id": "348",
    "title": "Engineering Analysis for Decision Making",
    "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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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "2adb603a4465214e6e1fb2a542914b8d1a799de9a322f20aa96b17c505661120",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}