Recent recorded grades — Fall 2023: 3.91 GPA, 100.0% A/AB (n=17 letter grades).
Fall 2026
Geospatial Technologies: Drones, Sensors, and Applications
GEOG 379 introduces geospatial technologies like drones, LiDAR, and GNSS for landscape analysis.
Recorded instructors · Fall 2026 Christian Andresen
Summary
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Recent recorded grades — Fall 2023: 3.91 GPA, 100.0% A/AB (n=17 letter grades).
Grade history
↗ average GPA
letter grades
letter grades
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AB
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BC
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F
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Prerequisites
Course mapSophomore standing
- Sophomore standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Sophomore standing
Professors
Fall 2026Historical instructors & teaching patterns
CHRISTIAN ANDRESEN is recorded teaching in Fall 2023. 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 |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 27 / 28 | 3 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Recent recorded grades — Fall 2023: 3.91 GPA, 100.0% A/AB (n=17 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
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Grades
Latest available · Fall 2023— not enough history to project Fall 2026.
Grade distribution · % of letter grades
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AB
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BC
C
D
F
More grade details Grade mix, volume & source data
Not enough comparable courses for Fall 2026 in UW–Madison.
Sources & history
UW–Madison
Catalog & offerings
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Catalog observation history
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Selected offering source records
Geospatial Technologies: Drones, Sensors, and Applications
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:416:026411",
"course_id": "GEOG 379",
"course_uid": "course_77c22481c10118004c6e352b",
"term_id": "1272",
"source_course_id": "026411",
"source_subject_id": "416",
"title": "Geospatial Technologies: Drones, Sensors, and Applications",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
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Madgrades
Grade history
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Explore recorded gradesModel outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "c88a1bf17a8cf258f02ce83487e0934651040f03f14a33b4c3d82c37b4882496",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}