Fall 2026

Principles of Landscape Ecology

Covers concepts and applications of spatial patterns at broad scales in landscape ecology.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Spring 2015: 3.04 GPA, 30.4% A/AB (n=23 letter grades); Spring 2017: 3.38 GPA, 66.7% A/AB (n=12 letter grades); Spring 2019: 3.79 GPA, 94.1% A/AB (n=17 letter grades).

Grade history

average GPA
letter grades
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AB
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Prerequisites

Course map

(ZOOLOGY/​BOTANY 460 or F&W ECOL 550, or FW ECOL 460 prior to Fall 2026) and (STAT 301, 371, orF&W ECOL/​STAT 571, or HORT 571 prior to Spring 2025), or graduate/professional standing

F&WECOL/LANDARC/ZOOLOGY 565

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

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2015: 3.04 GPA, 30.4% A/AB (n=23 letter grades); Spring 2017: 3.38 GPA, 66.7% A/AB (n=12 letter grades); Spring 2019: 3.79 GPA, 94.1% A/AB (n=17 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Spatial patterns at broad scales
  • Landscape ecology concepts and applications

Grades

Latest available · Spring 2019— not enough history to project Fall 2026.

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 2019

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

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Selected offering source records

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Raw records
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Student reviews

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "b21fb80ac3dcfc80c8fe050bbd0c1251e6d5b44790f9030f54ebc537b5f287b3",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}