Spring 2027

Urban Spatial Patterns and Theories

Explores various urban empirical regularities and the theories which explain them.

offering recorded3 credits
Recorded instructors · Spring 2027 Kristopher Olds

Summary

1 / 2

Recent recorded grades — Fall 2019: 3.90 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Fall 2025: 3.89 GPA, 95.5% A/AB (n=22 letter grades).

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Junior standing

  • Junior standing
GEOG/URBRPL 505

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

Prerequisite text tree
  • Junior standing

Professors

Spring 2027

Recent recorded grades — Fall 2019: 3.90 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Fall 2025: 3.89 GPA, 95.5% A/AB (n=22 letter grades).

Historical instructors & teaching patterns

KRISTOPHER N OLDS is recorded teaching in Spring 2010, Fall 2019, Spring 2022, Fall 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

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 250
LEC 001Classroom Instruction0 / 250

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 — Fall 2019: 3.90 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Fall 2025: 3.89 GPA, 95.5% A/AB (n=22 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Urban empirical regularities and explanatory theories

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

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
GEOG/URBRPL 505 · Spring 2027

Urban Spatial Patterns and Theories

Recorded 2026-10-14
GEOG/URBRPL 505 · Spring 2027

Urban Spatial Patterns and Theories

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": "1274:416:008298",
    "course_id": "GEOG/URBRPL 505",
    "course_uid": "course_f0c07851be55a636b5d0029b",
    "term_id": "1274",
    "source_course_id": "008298",
    "source_subject_id": "416",
    "title": "Urban Spatial Patterns and Theories",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:944:008298",
    "course_id": "GEOG/URBRPL 505",
    "course_uid": "course_f0c07851be55a636b5d0029b",
    "term_id": "1274",
    "source_course_id": "008298",
    "source_subject_id": "944",
    "title": "Urban Spatial Patterns and Theories",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, 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.

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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.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "c20ca68ed510ebffc70fcdc36a036dadc73c9bfa25d0b62657fde46375182ef0",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}