Spring 2027

Multivariate Analysis of Ecological and Community Data

Multivariate Analysis of Ecological and Community Data examines methods for analyzing complex, multidimensional datasets from plant, invertebrate, fish, and bird communities in ecology and environmental science.

offering recorded2 credits
Recorded instructors · Spring 2027 Min Chen

Summary

1 / 2

Recent recorded grades — Fall 2015: 3.91 GPA, 90.9% A/AB (n=11 letter grades).

What you’ll be able to do

  • Apply common multivariate analysis techniques, such as ordination (PCA, DCA, NMDS, CCA) and clustering, to analyze complex, multidimensional datasets in ecology and environmental science.

  • Interpret the results of multivariate analyses, understanding the ecological and environmental factors that drive community distributions and the relationships among different species and environmental variables.

  • Develop predictive models of species distributions across landscapes using multivariate analysis methods, and evaluate the accuracy and reliability of these models.

  • Conduct comparative analyses of data matrices using methods such as ANOSIM and Mantel tests, and understand the appropriate contexts for their application.

  • Implement hands-on analytical approaches to multivariate data analysis, gaining practical experience with software tools and techniques, and understanding the circumstances under which different methods are appropriate or inappropriate.

Source: UW Guide 1 UW Guide 2

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
ENTOM/F&WECOL 711

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

No course-specific feedback yet.

Historical instructors & teaching patterns

MIN CHEN is recorded teaching in 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

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 00
LEC 001Classroom Instruction0 / 00

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 — Fall 2015: 3.91 GPA, 90.9% A/AB (n=11 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Ordination (PCA, DCA, NMDS, CCA), clustering, and comparative analyses like ANOSIM and Mantel tests.
  • Environmental drivers of community distributions and predictive modeling of species distributions across landscapes.

Skills

  • Apply multivariate analysis techniques including ordination (PCA, DCA, NMDS, CCA) and clustering to complex ecological datasets.
  • Develop and evaluate predictive models of species distributions across landscapes.
  • Conduct comparative analyses of data matrices using ANOSIM and Mantel tests.
  • Implement hands-on analytical approaches using software tools and determine method appropriateness.

Grades

Latest available · Fall 2015— 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
More grade details Grade mix, volume & source data

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
ENTOM/F&WECOL 711 · Spring 2027

Multivariate Analysis of Ecological and Community Data

Recorded 2026-10-14
ENTOM/F&WECOL 711 · Spring 2027

Multivariate Analysis of Ecological and Community Data

Recorded 2026-10-14
Raw records 
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Madgrades

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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": "453300348fafd937bc99acdf1b5dd4d5c0f20c528df784dd0800edecb63637f0",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}