Spring 2027

Forest Measurements

Covers field measurements of trees and forests, basic statistics and sampling for forestry, and uses aerial photographs, GIS, and satellite imagery.

offering recorded4 credits
Recorded instructors · Spring 2027 Volker Radeloff

Summary

1 / 3

Recent recorded grades — Spring 2024: 2.85 GPA, 46.2% A/AB (n=13 letter grades); Spring 2025: 3.50 GPA, 68.8% A/AB (n=16 letter grades); Spring 2026: 3.09 GPA, 23.5% A/AB (n=17 letter grades).

What you’ll be able to do

  • Demonstrate basic competency in the use of forest measurement equipment and technology

  • Calculate individual tree and stand parameters

  • Estimate timber volume

  • Apply basic statistics in forestry

  • Produce a simple forest inventory using a variety of sampling techniques

  • Communicate the results of data collected in written form

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

None

  • None
F&WECOL 300 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • None

Professors

Spring 2027

Recent recorded grades — Spring 2024: 2.85 GPA, 46.2% A/AB (n=13 letter grades); Spring 2025: 3.50 GPA, 68.8% A/AB (n=16 letter grades); Spring 2026: 3.09 GPA, 23.5% A/AB (n=17 letter grades).

Historical instructors & teaching patterns

VOLKER RADELOFF is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, 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
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

Student experience

the class

Recent recorded grades — Spring 2024: 2.85 GPA, 46.2% A/AB (n=13 letter grades); Spring 2025: 3.50 GPA, 68.8% A/AB (n=16 letter grades); Spring 2026: 3.09 GPA, 23.5% A/AB (n=17 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Field measurements of trees and forests
  • Statistics and sampling in forestry
  • Aerial photographs, GIS, and satellite imagery
  • Timber volume estimation

Skills

  • Use forest measurement equipment and technology
  • Calculate tree and stand parameters
  • Estimate timber volume
  • Apply basic statistics to forestry data
  • Conduct forest inventories using sampling techniques
  • Write reports on collected field data

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.

Selected offering source records
F&WECOL 300 · Spring 2027

Forest Measurements

Recorded 2026-10-14
Raw records
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  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:396:007645",
    "course_id": "F&WECOL 300",
    "course_uid": "course_bc3ed68f7a6074f9ecbe9543",
    "term_id": "1274",
    "source_course_id": "007645",
    "source_subject_id": "396",
    "title": "Forest Measurements",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Spring"
  }
]
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "fba7d82f47bbf9a27a7bab3ea3fb1b0a5c0b00f5ac6f9d65d0173e1f2402d7e6",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}