Fall 2026

Time Series Analysis

POLISCI 917 introduces time series analysis methods, covering ARMA models, error corrections, co-integration, and fractional integration.

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Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Spring 2020: 3.90 GPA, 100.0% A/AB (n=5 letter grades); Spring 2023: 3.91 GPA, 100.0% A/AB (n=11 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=12 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

POLI SCI 812 and 813

POLISCI 917

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Professors

Fall 2026

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Spring 2020: 3.90 GPA, 100.0% A/AB (n=5 letter grades); Spring 2023: 3.91 GPA, 100.0% A/AB (n=11 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=12 letter grades).

difficulty & workload

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Topics

  • ARMA models
  • Error corrections models
  • Reduced form specifications
  • Co-integration
  • Fractional integration

Skills

  • Applying time series methods including ARMA and error correction models.
  • Analyzing co-integration and fractional integration.

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
B
BC
C
D
F

Grades over time

Through Fall 2025

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "b9b89b1a08b4ac64420e632344d1a0a20e005220b83ab9f672afdda1e28ef7ad",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}