Geospatial Database Design and Development
Teaches design and implementation of spatial databases using SQL and NoSQL for spatial big data.
Summary
Historical reviews of Qunying Huang: Exams are described as very easy, and labs are well-organized, though one reviewer felt the course lacked sufficient learning depth for its credit value.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapGEOG 170,GEOG 370,ENVIR ST/CIV ENGR/GEOG 377 or graduate/professional standing
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- GEOG 170
- GEOG 370
- CIVENGR/ENVIRST/GEOG 377
- graduate/professional standing
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Qunying Huang: Qunying Huang is consistently described as approachable, supportive, and passionate about GIS and database development. Reviewers highlight her responsiveness to emails and willingness to meet outside office hours. However, some students note that her lectures can feel disorganized and that the course content may not be sufficiently rigorous for a three-credit class.
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
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
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
Historical reviews of Qunying Huang: Qunying Huang teaches an accessible advanced computing class with supportive office hours and easy exams, though some students find the lectures disorganized and the learning depth insufficient.
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
Historical reviews of Qunying Huang: Exams are described as very easy, and labs are well-organized, though one reviewer felt the course lacked sufficient learning depth for its credit value.
Historical reviews of Qunying Huang: Students appreciate Huang's approachability, passion, and willingness to meet outside office hours, though some wish for more code examples and find the lecture structure disorganized.
Topics
Skills
Grades
Latest available · Spring 2026— not enough history to project Fall 2026.
Grade distribution · % of letter grades
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
1283 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
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.
Selected offering source records
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "0dd1f284dea3361ee6d023137fa0fc06e89c2100e20a141f4665037e2e3e6a1e",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}