Soil Pollution and Human Health
Examines anthropogenic soil pollution sources, contaminant mobility, and health impacts using risk assessment methods.
Summary
Historical reviews of Geoffery Siemering: The course included short relevant articles, micro presentations, and mock town hall meetings, requiring active participation in discussions.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapCHEM 103, 108, 109, 115, or graduate/professional student standing
This is a best-effort interpretation; check the catalog requirements above.
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Geoffery Siemering: Geoffery Siemering is described as an animated, knowledgeable lecturer who cares deeply about teaching and student feedback, even adjusting content mid-semester. He is noted for being accessible and making the material captivating through personal stories and engaging activities like mock town halls.
GEOFFREY SIEMERING is recorded teaching in 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
Geoffery Siemering's historical teaching of SOILSCI 430 was described as an unforgettable, engaging experience with animated lectures and interactive activities like mock town halls.
Recent recorded grades — Fall 2023: 3.82 GPA, 94.1% A/AB (n=17 letter grades); Fall 2024: 3.97 GPA, 100.0% A/AB (n=19 letter grades); Spring 2026: 3.92 GPA, 96.8% A/AB (n=31 letter grades).
difficulty & workload
Historical reviews of Geoffery Siemering: The course included short relevant articles, micro presentations, and mock town hall meetings, requiring active participation in discussions.
Historical reviews of Geoffery Siemering: Students found Siemering caring, knowledgeable, and accessible, with one noting he adapted lecture content based on mid-semester feedback to improve engagement.
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": "e60f6e1a8b106da8755247edbb90ec56964eadbd587a7a0e7f2e8445053bedd3",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}