Spring 2027

Supply Chain Analytics

Supply Chain Analytics teaches analytics methodologies and concepts applied to business problems in supply chain and operations management, covering data visualization, forecasting, and machine learning.

offering recorded2–3 credits
Recorded instructors · Spring 2027 Greg DeCroix3.9/5

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.71 GPA, 93.3% A/AB (n=45 letter grades); Spring 2025: 3.67 GPA, 93.9% A/AB (n=49 letter grades); Spring 2026: 3.76 GPA, 95.7% A/AB (n=23 letter grades).

What you’ll be able to do

  • Examine data sets to recognize patterns and relationships in the data that provide insights into business problems

  • Apply principles of data visualization and presentation to real business problems

  • Develop basic skills using Tableau visualization software

  • Apply methods of forecasting product demand and measure the performance of such methods

  • Apply a variety of machine learning techniques (such as logistic regression, K nearest neighbors classification, association rules, cluster analysis, text mining) to perform analysis and/or make predictions and help solve business problems

  • Develop basic skills using the statistical analysis language R

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

  • Graduate/professional standing
OTM 714

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 4 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Spring 2024: 3.71 GPA, 93.3% A/AB (n=45 letter grades); Spring 2025: 3.67 GPA, 93.9% A/AB (n=49 letter grades); Spring 2026: 3.76 GPA, 95.7% A/AB (n=23 letter grades).

Historical instructors & teaching patterns

GREGORY DECROIX is recorded teaching in 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 / 500

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 2024: 3.71 GPA, 93.3% A/AB (n=45 letter grades); Spring 2025: 3.67 GPA, 93.9% A/AB (n=49 letter grades); Spring 2026: 3.76 GPA, 95.7% A/AB (n=23 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Data Visualization, Time Series Forecasting, Linear Regression, Classification Methods, Association Rules, Cluster Analysis, and Text Mining.

Skills

  • Data visualization, time series forecasting, linear regression, classification methods, association rules, cluster analysis, text mining, Tableau, and R.

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
OTM 714 · Spring 2027

Supply Chain Analytics

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": "1274:238:025246",
    "course_id": "OTM 714",
    "course_uid": "course_814d58c65622ce8a0550abb6",
    "term_id": "1274",
    "source_course_id": "025246",
    "source_subject_id": "238",
    "title": "Supply Chain Analytics",
    "credits_min": 2,
    "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": "b9d1b328151d470868c56346bf35cce871d680f72f5eff18af246a46d0975131",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}