Energy, Resources and Economics
Applies microeconomic theory to analyze energy markets, including oil, gas, and electricity, in the context of contemporary policy issues.
Summary
Historical reviews of Sarah Johnston: The class is easy if you attend lectures and complete problem sets, with one reviewer noting that little effort yields an A.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapProfessors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Sarah Johnston: Sarah Johnston is described as prepared, knowledgeable, and nice, with timely grading. However, some students found the material dry and feedback confusing. The OPEC group project was noted as challenging but guided, and the course is recommended for learning about energy markets.
SARAH JOHNSTON is recorded teaching in Fall 2019, Fall 2020, Fall 2021, Fall 2023, Fall 2024. 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 Sarah Johnston: Sarah Johnston teaches a well-run course that is good for learning energy markets, though some find the material dry and not very engaging.
Recent recorded grades — Fall 2021: 3.36 GPA, 57.4% A/AB (n=54 letter grades); Fall 2023: 3.27 GPA, 54.9% A/AB (n=51 letter grades); Fall 2024: 3.33 GPA, 60.0% A/AB (n=50 letter grades).
difficulty & workload
Historical reviews of Sarah Johnston: The class is easy if you attend lectures and complete problem sets, with one reviewer noting that little effort yields an A.
Historical reviews of Sarah Johnston: The OPEC group project is interesting but challenging, requiring guidance, while feedback from the professor is sometimes confusing.
Topics
Skills
Grades
Latest available · Fall 2024— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Fall 2024
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Fall 2024 · 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
1333 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
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"task_version": "14",
"output_id": "c194a94ab413ec5f5626a594cf775d13a5eb7628046a1d9e31477743a89af3dd",
"requirements_status": "needs_review",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}