Fall 2026

Research Methods in Political Science

POLISCI 170 introduces political science research methods, teaching students to develop research questions, design studies, and apply quantitative and qualitative tools.

offering recorded3–4 credits
Recorded instructors · Fall 2026 Marty Davidson3.6/5Mario Pino FloresMonica Komer

Summary

1 / 7

Historical reviews of Jessica Weeks: The course involves occasional short papers and heavy reliance on lectures and memorization. Reviewers report that tests are fairly challenging and getting an A requires extra effort, while projects may be graded toughly.

Grade history

average GPA
letter grades
A
AB
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BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

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POLISCI 170

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Prerequisite text tree
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Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.50/5 from 4 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

Historical instructors & teaching patterns

Historical reviews for Jessica Weeks describe POLISCI 170 as concept-based and generally easy, though some find lectures boring or grading strict on projects. Students note that attendance and memorization are key, with clear exam outlines and fair grading supporting success.

JESSICA WEEKS is recorded teaching in Spring 2018, Fall 2018, Fall 2020, Fall 2021, Spring 2023, Fall 2023. 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 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction119 / 1263
DIS 302Classroom Instruction21 / 211
DIS 303Classroom Instruction18 / 212
DIS 304Classroom Instruction21 / 210
DIS 305Classroom Instruction19 / 210
DIS 306Classroom Instruction20 / 210
DIS 307Classroom Instruction20 / 210

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Historical reviews of Jessica Weeks: Jessica Weeks teaches a concept-based course that reviewers describe as easy and gentle, though some find the material forgettable. Students note that while the workload is light, tests can be challenging and require understanding key concepts.

Recent recorded grades — Spring 2024: 3.12 GPA, 63.8% A/AB (n=47 letter grades); Spring 2025: 3.23 GPA, 59.5% A/AB (n=126 letter grades); Fall 2025: 3.58 GPA, 80.9% A/AB (n=89 letter grades).

difficulty & workload

Historical reviews of Jessica Weeks: The course involves occasional short papers and heavy reliance on lectures and memorization. Reviewers report that tests are fairly challenging and getting an A requires extra effort, while projects may be graded toughly.

Historical reviews of Jessica Weeks: Students appreciate that Weeks clearly outlines exam content and provides numerous study resources on Canvas. Reviewers also note she is a good professor who cares about student success.

Topics

  • Political science as a discipline
  • Research questions
  • Research designs
  • Quantitative and qualitative tools

Skills

  • Developing research questions
  • Designing research studies
  • Applying quantitative and qualitative research tools

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 4 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

6 earlier forecasts · 0.14 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1320 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

UW–Madison

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
POLISCI 170 · Fall 2026

Research Methods in Political Science

Recorded 2026-09-07
Raw records
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    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
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    "offering_id": "1272:778:024173",
    "course_id": "POLISCI 170",
    "course_uid": "course_4ca244dc5323b86b377a82c2",
    "term_id": "1272",
    "source_course_id": "024173",
    "source_subject_id": "778",
    "title": "Research Methods in Political Science",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "083885458d4bee55d1b17ea745bde7b071991e67142bda59ddaf8b634a4b4b8e",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}