Spring 2027

Applied Time Series Analysis, Forecasting and Control I

Covers theory and application of discrete time series models for forecasting, including ARIMA models, difference equations, and iterative model building with computer analysis.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2022: 3.88 GPA, 94.1% A/AB (n=17 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Spring 2025: 3.67 GPA, 77.8% A/AB (n=18 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
STAT 701 used by

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  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Spring 2022: 3.88 GPA, 94.1% A/AB (n=17 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Spring 2025: 3.67 GPA, 77.8% A/AB (n=18 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Discrete time series models and forecasting
  • Iterative model building
  • Difference equations for dynamic relations
  • Autoregressive integrated Moving Average (ARIMA) models
  • Model identification, fitting, and diagnostics
  • Seasonal forecasting applications in business, economics, ecology, and engineering

Skills

  • Apply discrete time series models to forecasting problems
  • Use principles of iterative model building
  • Represent dynamic relations using difference equations
  • Identify, fit, and diagnose time series models
  • Analyze seasonal forecasts in various fields using specialized computer programs

Grades

Latest available · Spring 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Grade history

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Dataset & model

Recorded 2026-10-14

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Model outputs & technical records
Qwen/Qwen3.8-27B
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": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "26bb2537966ee5259e8a392fd0d95011ed74fb07dba5de51629fe9ff6811cff2",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}