Spring 2027

Designing Sustainable and Resilient Regions

Designing Sustainable and Resilient Regions explores broad scale design issues using spatial form and bioregional concepts to solve land use and conservation problems.

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

Summary

1 / 4

Recent recorded grades — Fall 2023: 3.65 GPA, 100.0% A/AB (n=13 letter grades); Fall 2024: 3.73 GPA, 100.0% A/AB (n=13 letter grades); Fall 2025: 3.74 GPA, 89.7% A/AB (n=29 letter grades).

What you’ll be able to do

  • Describe the significance and complexity of a regional landscape and how it serves as context for a smaller study area (e.g. the relationship of place to its natural and cultural surroundings).

  • Appreciate, respect, and empathize with project clients and reconcile client needs with the creative potentials of a region.

  • Analyze and describe natural and cultural processes in a regional study area, especially the forces shaping and transforming the region over time.

  • Discover, describe, and analyze forms, patterns, and materials existing in a region; evaluate their potential for use as land use determinants or design inspiration.

  • Evaluate issues of scale (e.g. ecological, cultural, measurement, visual, experiential, clients, and users) and potential implications for landscape planning and regional design decisions and on selection of tools and techniques.

  • Evaluate and apply tools and techniques that are appropriate for development and communication of regional design decisions (e.g. research, interviews, literature review, inventory, interpretation, suitability analysis, GIS spatial analysis, preservation, conservation, restoration, visualization, representation, and presentation).

  • Synthesize, evaluate, and apply sources of creativity and inspiration in the landscape planning and regional design process (e.g. precedents, innovation, collaboration, observation, interviews; rational, intuitive, design typologies, and arbitrary bases for landscape planning and design decisions)

  • Communicate information clearly, concisely, and effectively throughout the planning and design process (e.g., from inventory & analysis through concepts and final recommendations).

Source: UW Guide

Grade history

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average GPA
letter grades
A
AB
B
BC
C
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

LAND ARC 562

LANDARC 563

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

Prerequisite text tree

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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Student experience

the class

Recent recorded grades — Fall 2023: 3.65 GPA, 100.0% A/AB (n=13 letter grades); Fall 2024: 3.73 GPA, 100.0% A/AB (n=13 letter grades); Fall 2025: 3.74 GPA, 89.7% A/AB (n=29 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Spatial form and bioregional cultural, ecological, and environmental concepts
  • Complex trends, policy impacts, hazard mitigation, and systems level design
  • Relationships between regions and sites
  • Issues of scale in landscape planning and regional design

Skills

  • Synthesis and design skills for broad scale issues
  • Advanced techniques for inventory, analysis, and design
  • Application of tools including GIS spatial analysis, visualization, and representation
  • Clear and effective communication of planning and design information

Grades

Latest available · Fall 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

Grades over time

Through Fall 2025

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

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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.

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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": "e39c324739296ed9106c1d9da9131b10fb8870fd6245702836eb83bef4d7b4c1",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}