Analysis of International Relations
POLISCI 348 teaches the analysis of international relations problems using game theory and quantitative methods.
Summary
Historical reviews of Andrew Kydd, Lisa Martin: Assignments rely heavily on problem sets and online exams. Cited reviewers note that starting work early is crucial, as the material often requires outside resources or TA assistance to complete successfully.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapSatisfied Quantitative Reasoning (QR) A and (POLI SCI 140 or INTL ST 101) or (POLI SCI 103 taken prior to Fall 2017)
- Satisfied Quantitative Reasoning (QR) A
- POLISCI 140
- INTLST 101
- POLI SCI 103 taken prior to Fall 2017
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- All of
- Satisfied Quantitative Reasoning (QR) A
- POLISCI 140
- INTLST 101
- All of
- POLI SCI 103 taken prior to Fall 2017
- All of
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Lisa Martin: Lisa Martin teaches this course with mixed results. Some students find her lectures confusing, fast-paced, or disconnected from assignments, while others appreciate her clarity and knowledge. Success often depends on utilizing TAs and outside resources rather than relying solely on lectures.
ANDREW KYDD is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule.
LISA MARTIN is recorded teaching in Fall 2017, Spring 2020, Spring 2022, Fall 2022, 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 Lisa Martin: Lisa Martin teaches this course, with reviews describing her lectures as either clear or confusing. Cited students report varying experiences, noting that success often depends on utilizing discussion sections and TA support.
Recent recorded grades — Spring 2024: 3.50 GPA, 80.6% A/AB (n=93 letter grades); Spring 2025: 3.75 GPA, 87.1% A/AB (n=93 letter grades); Spring 2026: 3.72 GPA, 84.0% A/AB (n=100 letter grades).
difficulty & workload
Historical reviews of Andrew Kydd, Lisa Martin: Assignments rely heavily on problem sets and online exams. Cited reviewers note that starting work early is crucial, as the material often requires outside resources or TA assistance to complete successfully.
Historical reviews of Lisa Martin: Cited reviewers describe lectures as less useful than discussion sections and TA office hours. They emphasize that engaging with TAs and problem sets is more effective than relying solely on lecture content.
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": "3d2e534def0aa5001845444a2ea635eee11f041d64d422ad4a9d14037b2d5715",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}