Spring 2027

Geospatial Database Design and Development

Introduces the basic concepts, techniques and methodologies for designing and implementing a spatial database to prepare for professional work as a GIS designer, analyst, specialist or researcher. Design conceptual spatial database models and implement them within specific spatial data management systems (DBMS). Covers basic SQL database language and the latest developments in database systems (e.g. NoSQL database) for managing and mining spatial big data such as social media datasets and GPS trajectories.

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

Summary

1 / 6

Past student reviews · Qunying Huang

A past student described the exams as very easy, noting that this made it straightforward to earn a high grade despite feeling the material was not deeply challenging.

What you’ll be able to do

  • Describe database design and implementation in GIS.

  • Utilize open-source database software to create, manipulate, and manage spatial relational databases.

  • Perform spatial queries and operations to analyze and manage geospatial data within a spatial database environment.

  • Use spatial databases for big data management.

  • Design and develop a spatial database and program to solve specific geographic information problems.

  • Describe the concept of spatial indexing and its significance in optimizing spatial data retrieval.

  • Design, develop, and implement spatial database solutions to address real-world geographic information problems .

  • Integrate spatial databases with programming languages to develop data-driven geospatial applications.

Source: UW Guide

Grade history

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average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

GEOG 170,GEOG 370,ENVIR ST/​CIV ENGR/​GEOG 377 or graduate/professional standing

GEOG 574 used by

“Used by” includes alternatives; linked courses may have other requirements. 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

QUNYING HUANG is recorded teaching in Fall 2017, Fall 2018, Fall 2020, Fall 2022, Fall 2023, Fall 2024, 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

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SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Past student reviews · Qunying Huang

Past students found the course supportive, with Professor Huang providing helpful feedback and lecture notes that compensated for disorganized classes. Some felt the exams were easy but the learning depth was limited for a three-credit class.

Recent recorded grades — Fall 2024: 3.81 GPA, 88.6% A/AB (n=44 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2026: 3.86 GPA, 91.4% A/AB (n=35 letter grades).

difficulty & workload

Past student reviews · Qunying Huang

A past student described the exams as very easy, noting that this made it straightforward to earn a high grade despite feeling the material was not deeply challenging.

Past student reviews · Qunying Huang

One student appreciated the well-organized labs and the instructor's willingness to provide good project feedback and help outside of class. Lecture notes on Canvas were cited as a useful resource for managing disorganized lectures.

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

No offering records for the selected term.

Raw records 
[]
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Student reviews

Original comments behind the course and instructor summaries.

Read original 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
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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": "28cac5796e4a1ea8429c81dfb75d98d24d8332ac3b53a4e30d3d295ae072ba21",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}