Spring 2027

Demographic Methods in Wildlife Conservation

This course applies demographic methods to animal population conservation, covering maximum likelihood, Bayesian estimation, mark-recapture, occupancy, and matrix models for decision-making.

offering recorded3 credits
Recorded instructors · Spring 2027 M Peery

Summary

1 / 2

Recent recorded grades — Spring 2025: 3.61 GPA, 77.8% A/AB (n=9 letter grades).

What you’ll be able to do

  • Estimate model parameters using maximum likelihood and Bayesian procedures

  • Construct, implement, and interpret output from deterministic and stochastic matrix models of population growth

  • Estimate and model ecological drivers of mortality and survival rates in wildlife populations using mark-recapture modeling methods

  • Estimate and model ecological drivers of site occupancy rates for wildlife populations using occupancy modeling methods

  • Evaluate model limitations, model assumptions, and the effects of violations of assumptions on inference

  • Interpret population model output and apply results to conservation decision making in the face of uncertainty

Source: UW Guide

Grade history

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average GPA
letter grades
A
AB
B
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
F&WECOL 850

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

Recent recorded grades — Spring 2025: 3.61 GPA, 77.8% A/AB (n=9 letter grades).

Historical instructors & teaching patterns

M PEERY is recorded teaching in Spring 2025. 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 / 200

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 — Spring 2025: 3.61 GPA, 77.8% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Demographic methods in animal population conservation and management.
  • Statistical techniques including maximum likelihood, Bayesian estimation, count-based, mark-recapture, occupancy, and matrix models.
  • Application of population models in conservation decision making.

Skills

  • Estimating model parameters using maximum likelihood and Bayesian procedures.
  • Constructing, implementing, and interpreting deterministic and stochastic matrix models of population growth.
  • Modeling ecological drivers of mortality and survival rates using mark-recapture methods.
  • Modeling ecological drivers of site occupancy rates using occupancy modeling methods.
  • Evaluating model limitations, assumptions, and the effects of assumption violations on inference.
  • Interpreting population model output and applying results to conservation decision making under uncertainty.

Grades

Latest available · Spring 2025— 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

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.

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Selected offering source records
F&WECOL 850 · Spring 2027

Demographic Methods in Wildlife Conservation

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": "1274:396:026693",
    "course_id": "F&WECOL 850",
    "course_uid": "course_224f4aab04779cbadd51fa43",
    "term_id": "1274",
    "source_course_id": "026693",
    "source_subject_id": "396",
    "title": "Demographic Methods in Wildlife Conservation",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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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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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.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "80eb4f66bfb08527b22962df2e2001ba9d96f7245bda26d393937e278af68bd8",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}