Spring 2027

Data and GIS Tools for Ecology

Covers quantitative tools for ecological investigation, emphasizing statistics, GIS, remote sensing, and spatial analysis applied to ecological datasets.

offering recorded3 credits
Recorded instructors · Spring 2027 Mutlu Ozdogan

Summary

1 / 3

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=23 letter grades).

What you’ll be able to do

  • Describe ecological datasets spatially and statistically using data storage and Geographic Information Systems (GIS) tools

  • Acquire and map spatially explicit ecological data using GIS tools

  • Identify patterns in complex ecological data sets

  • Conduct common statistical analysis of digitized ecological data (such as: description, correlation, univariate regression, and hypothesis testing)

  • Critically evaluate the results of statistical analyses, including validation, of ecological datasets

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

MATH 113, 114, 171, placement into MATH 221, or graduate/professional standing

  • take one
F&WECOL 395

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

Prerequisite text tree
  • Any of

Professors

Spring 2027

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=23 letter grades).

Historical instructors & teaching patterns

MUTLU OZDOGAN is recorded teaching in 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
LAB 301Classroom Instruction0 / 300
LEC 001Classroom Instruction0 / 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 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=23 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Geographic Information Systems (GIS)
  • Remote Sensing
  • Spatial analysis
  • Statistics
  • Ecological and environmental data sets

Skills

  • Using GIS tools to describe, acquire, and map spatially explicit ecological data.
  • Conducting and evaluating statistical analyses of ecological datasets, including regression and hypothesis testing.
  • Identifying patterns in complex ecological data sets.

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
F&WECOL 395 · Spring 2027

Data and GIS Tools for Ecology

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": "1274:396:026852",
    "course_id": "F&WECOL 395",
    "course_uid": "course_e124309c07acbe88de6235e3",
    "term_id": "1274",
    "source_course_id": "026852",
    "source_subject_id": "396",
    "title": "Data and GIS Tools for Ecology",
    "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": "ecd289dd3c356284c7a671eea8898d18b38aaefa0b19180c77696adb6a269c6a",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}