Methods of Planning Analysis
Covers research methods and statistics for planning, including study design, inferential statistics, ANOVA, correlation, regression, computer use, and data sources.
Summary
Recent recorded grades — Fall 2023: 3.80 GPA, 86.7% A/AB (n=15 letter grades); Fall 2024: 3.86 GPA, 90.9% A/AB (n=22 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=16 letter grades).
What you’ll be able to do
Discuss equity, diversity, and social justice, focusing on planners’ use of planning analysis and engagement to close disparities between advantaged and disadvantaged groups and to promote racial, gender, economic and other dimensions of equity.
Explain the social, economic, public health, and environmental dimensions of the sustainability challenges of urban and regional development.
Differentiate between quantitative and qualitative analysis in planning.
Connect planning analysis to best practices for community-engagement in the co-production of planning knowledge.
Carry out research and critical analysis, including the use of quantitative and qualitative methods of data collection, analysis, and forecasting.
Connect planning ethics to public decision-making, research, and client representation (including the provisions of the AICP Code of Ethics and Professional Conducts, and APA’s Ethical Principles in Planning).
Relate complex ideas through written, oral, and graphic communication.
Reflect on working in teams and with professionals in allied fields, including self-assessment of professional leadership in the planning context.
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Recent recorded grades — Fall 2023: 3.80 GPA, 86.7% A/AB (n=15 letter grades); Fall 2024: 3.86 GPA, 90.9% A/AB (n=22 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=16 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Planning research conceptualization, design, and implementation.
- Inferential statistics, analysis of variance, correlation, and multiple regression.
- Sources of planning data.
Skills
- Conceptualizing, designing, and implementing planning research.
- Applying statistical methods such as inferential statistics, ANOVA, correlation, and multiple regression to analyze planning data.
- Using quantitative and qualitative methods for data collection, analysis, and forecasting.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
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
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
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Selected offering source records
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Raw records
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Student reviews
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Read original reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "7c48fc865aa932882cce4e2e44ed5559cea83558e024579b208253ee85c96876",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}