Sustainable Approaches to System Improvement
SUSTAINABLE APPROACHES TO SYSTEM IMPROVEMENT teaches organizations to develop sustainable practices by examining innovative system-improvement concepts.
Summary
Historical reviews of Mark Finster: Homework is assigned every other week and described as tricky. There are no exams, only one simple paper, and the difficulty rating is low.
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 Mark Finster: Mark Finster is passionate and helpful in office hours, though his lectures can be dull if students read the text. He cares about student success and ensures grade distributions remain accessible. The course material is engaging, but homework is tricky.
MARK P FINSTER is recorded teaching in Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017. 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 Mark Finster: Mark Finster's course features engaging material and a supportive instructor, though lectures may be dull if students read the text. The workload consists of tricky homework and a simple paper, with no exams.
Recent recorded grades — Fall 2015: 3.48 GPA, 80.0% A/AB (n=40 letter grades); Fall 2016: 3.45 GPA, 69.8% A/AB (n=43 letter grades); Fall 2017: 3.51 GPA, 81.4% A/AB (n=43 letter grades).
difficulty & workload
Historical reviews of Mark Finster: Homework is assigned every other week and described as tricky. There are no exams, only one simple paper, and the difficulty rating is low.
Historical reviews of Mark Finster: Finster is passionate and helpful in office hours, caring about student success and grade distribution. However, lectures can become dull if the text is already read.
Topics
Skills
Grades
Latest available · Fall 2017— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Fall 2017
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Fall 2017 · 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
1025 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": "c79329bd6acc140a5f2639a1f41212674a22550d8368675ab72bc871efc1c79a",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}