Spring 2027

Forest Resources Practicum

FOREST RESOURCES PRACTICUM provides field training and experience with forestry operations, equipment, procedures, and management problems.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

What you’ll be able to do

  • Identify native and non-native members of local forest ecosystems, including plants, vertebrates, and invertebrates.

  • Apply forest measurement techniques to complete forest ecosystem assessments.

  • Collect, manage, analyze, and draw conclusions from datasets.

  • Formulate and test novel hypotheses related to forest ecosystems.

  • Work collaboratively to accomplish measurement, analysis, and writing tasks.

Source: UW Guide

Grade history

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letter grades

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Prerequisites

Course map

None

  • None
F&WECOL 210

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Prerequisite text tree
  • None

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist

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Student experience

the class

Field training and experience; exposure to forestry operations, equipment, procedures, and management problems.

difficulty & workload

No workload feedback recorded.

Topics

  • Forestry operations, equipment, procedures, and management problems.
  • Local forest ecosystems: plants, vertebrates, and invertebrates.
  • Forest measurement techniques and ecosystem assessments.

Skills

  • Identify native and non-native members of local forest ecosystems.
  • Apply forest measurement techniques for ecosystem assessments.
  • Collect, manage, and analyze datasets to draw conclusions.
  • Formulate and test hypotheses related to forest ecosystems.
  • Collaborate on measurement, analysis, and writing tasks.

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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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
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "1cf91813b1a4e46886cc1473585f17647dd53367089d8c67b58a7e943531cebe",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}