Spring 2027

Animal Population Dynamics

Animal Population Dynamics covers fluctuation techniques, documentation, and controls. Students assess theories and models for wildlife conservation.

offering recorded3 credits
Recorded instructors · Spring 2027 Timothy Van Deelen

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.34 GPA, 68.4% A/AB (n=38 letter grades); Spring 2025: 3.39 GPA, 73.2% A/AB (n=41 letter grades); Spring 2026: 3.09 GPA, 48.8% A/AB (n=41 letter grades).

What you’ll be able to do

  • Apply field specific vocabulary and foundational theories of population dynamics to describe current understandings of how animal populations behave and interact

  • Assess how existing theories, models, and field data are understood and applied in wildlife conservation

  • Analyze population dynamics using species-specific examples that would be relevant to a professional wildlife biologist using data and conceptual models

  • Synthesize, evaluate, and formulate a position on current scholarly research in a focused area of population dynamics

  • Demonstrate oral communication skills including identification and explanation of relevant content, clear organization, and effective delivery

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

(F&W ECOL 318 or ZOOLOGY/​BOTANY 460, or FW ECOL 460 prior to Fall 2026) and (MATH 112, 114, 171, or placement into MATH 221), or graduate/professional standing

F&WECOL 655

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

Prerequisite text tree

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.34 GPA, 68.4% A/AB (n=38 letter grades); Spring 2025: 3.39 GPA, 73.2% A/AB (n=41 letter grades); Spring 2026: 3.09 GPA, 48.8% A/AB (n=41 letter grades).

Historical instructors & teaching patterns

TIMOTHY VAN DEELEN is recorded teaching in 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 2022, 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
LEC 001Classroom Instruction0 / 400

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 2024: 3.34 GPA, 68.4% A/AB (n=38 letter grades); Spring 2025: 3.39 GPA, 73.2% A/AB (n=41 letter grades); Spring 2026: 3.09 GPA, 48.8% A/AB (n=41 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Techniques for studying, documenting, and controlling animal population fluctuations
  • Application of population dynamics theories and models in wildlife conservation
  • Evaluation of current scholarly research in focused areas of population dynamics

Skills

  • Apply population dynamics theories to describe animal behavior and interactions
  • Assess the application of theories, models, and field data in wildlife conservation
  • Synthesize and evaluate scholarly research in population dynamics
  • Deliver organized oral presentations explaining population dynamics content

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

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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 655 · Spring 2027

Animal Population Dynamics

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": "1274:396:019156",
    "course_id": "F&WECOL 655",
    "course_uid": "course_77fa3fd4a3b434172c7f8be9",
    "term_id": "1274",
    "source_course_id": "019156",
    "source_subject_id": "396",
    "title": "Animal Population Dynamics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
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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.

Explore recorded grades
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": "7b6d2aaa134f2cf73b973a058bf30958956d793de7c9ff4ac4c53e3250c7e533",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}