International Macroeconomics
ECON 461 covers international macroeconomics, focusing on financial instruments and cross-border policy spillovers.
Summary
Historical reviews of Stella Chan: Reviewers consistently describe the course as extremely difficult or very hard, with one noting a normal amount of content compressed into the first month. Some cite a heavy volume of formulas and low exam averages.
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 for Stella Chan describe her as an enthusiastic and approachable lecturer who provides clear expectations and useful practice materials. While many students found her exams predictable and manageable, others reported that the content is dense, lectures can be confusing, and attendance is critical for success.
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 for Stella Chan describe her as an enthusiastic and approachable lecturer who provides clear expectations and predictable exams. Students generally recommend the course as a manageable elective with a fair workload.
Recent recorded grades — Fall 2024: 3.01 GPA, 40.7% A/AB (n=86 letter grades); Spring 2025: 2.92 GPA, 39.8% A/AB (n=88 letter grades); Spring 2026: 3.01 GPA, 40.3% A/AB (n=77 letter grades).
difficulty & workload
Historical reviews of Stella Chan: Reviewers consistently describe the course as extremely difficult or very hard, with one noting a normal amount of content compressed into the first month. Some cite a heavy volume of formulas and low exam averages.
Historical reviews of Stella Chan: Attendance is consistently emphasized as critical, with lectures described as essential for understanding material and avoiding falling behind. Some students find lectures confusing or unrecorded, while others appreciate the clear examples and helpful office hours.
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
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"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "4aac832d301933bfb35a72494a7e20455cf47f95074c5f8b1271b74923a121d0",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}