Eye in the Sky: Monitoring the Earth by Satellite
GEOSCI 118 teaches the fundamentals of satellite imagery and remote sensing for earth sciences, covering image interpretation, multitemporal data, and satellite technology.
Summary
Historical reviews of Kurt Feigl: Grading is curved and described as fair, though one review notes limited in-class TopHat time can lead to point losses.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapNone
- None
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- None
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Kurt Feigl: Kurt Feigl’s teaching receives polarized reviews. Some students find his lectures informative and appreciate his fair grading and problem-solving focus, while others describe him as an awful lecturer who goes off-topic or displays a negative attitude. Reviewers disagree on whether the course is engaging or merely a filler.
KURT FEIGL is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2023, Spring 2024, Spring 2025, 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 Kurt Feigl: Reviews for Kurt Feigl are polarized, ranging from calls to avoid the course due to poor lecturing and political rants to praise for fair grading and engaging material.
Recent recorded grades — Spring 2024: 3.09 GPA, 48.0% A/AB (n=50 letter grades); Spring 2025: 3.11 GPA, 51.1% A/AB (n=47 letter grades); Spring 2026: 2.64 GPA, 34.4% A/AB (n=32 letter grades).
difficulty & workload
Historical reviews of Kurt Feigl: Grading is curved and described as fair, though one review notes limited in-class TopHat time can lead to point losses.
Historical reviews of Kurt Feigl: Students report that lecture material is informative but delivery varies from stuttering to boring. Some find the course a filler while others appreciate problem-solving tools over rote memorization.
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": "4ac1d75c1985becb65db7b7a02e836df03c9d624f79b97fce43d8a3fa2065806",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}