Spring 2027

Engineering Applications of Statistics

Engineering Applications of Statistics teaches applying statistics to engineering problems, focusing on experimental techniques, validity tests, computer-based tools, and data distillation.

offering recorded3 credits
Recorded instructors · Spring 2027 Anthony Orzechowski

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.89 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2026: 3.79 GPA, 94.1% A/AB (n=17 letter grades).

What you’ll be able to do

  • Apply statistical thinking, regression analysis, and descriptive analytics to evaluate data and assess process or product performance

  • Evaluate process performance against output requirements and identify improvement opportunities using process capability evaluation and design of experiments

  • Detect changes in process signals with noise and address factors impacting performance

  • Design and implement experiments to identify and model input-output relationships and optimize performance

  • Build traditional and artificial intelligence (AI) models to enhance process capability and develop actionable plans to drive measurable improvements

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 Artificial Intelligence for Engineering Data Analytics

    • Graduate/professional standing
    • declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics
    take one
EPD 416

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

Prerequisite text tree
  • Any of
    • Graduate/professional standing
    • declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.89 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2026: 3.79 GPA, 94.1% A/AB (n=17 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

ANTHONY ORZECHOWSKI is recorded teaching in Fall 2022, 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 003Online Only0 / 300

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
Download part 1

Student experience

the class

Recent recorded grades — Spring 2024: 3.89 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2026: 3.79 GPA, 94.1% A/AB (n=17 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Statistically-based experimental techniques and validity tests
  • Computer-based statistical tools
  • Data distillation approaches
  • Process capability evaluation and design of experiments
  • Traditional and AI modeling for process capability

Skills

  • Statistical thinking, regression analysis, and descriptive analytics
  • Process capability evaluation and design of experiments
  • Detecting changes in process signals
  • Designing and implementing experiments to model input-output relationships
  • Building traditional and AI models for process enhancement

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.

Download part 1
Selected offering source records
EPD 416 · Spring 2027

Engineering Applications of Statistics

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": "1274:348:021619",
    "course_id": "EPD 416",
    "course_uid": "course_acc32afc8725c523e2b032bc",
    "term_id": "1274",
    "source_course_id": "021619",
    "source_subject_id": "348",
    "title": "Engineering Applications of Statistics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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": "03d72cbdd17d25b336e09194f1c5acc6fcd7c11657c94a8b673dc5fad4bed745",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}