TSF Study DeskUnit 1 + Unit 2

21CSE584T exam sprint

Understand first. Memorize second.

A clean, exam-ready study desk for Time Series Analysis and Forecasting Units 1 and 2: introduction, decomposition, moving averages, validation, smoothing, formulas, and question-bank style practice.

Unit 1Theory

Time Series Foundations

Forecasting need, qualitative vs quantitative methods, what qualifies as time series data, special features, EDA, components, and decomposition.

Unit 2Numericals

Moving Average and Smoothing

Naive forecast, average forecast, simple and centered moving averages, accuracy metrics, SES, Holt, and Holt-Winters selection logic.

ExamQuestion bank

Practice With Answer Frames

Representative question-bank patterns grouped by topic, with compact solution outlines and checked moving-average calculations.

Tonight's Route

Finish in layers

Most likely theory answers

  • Qualitative vs quantitative forecasting.
  • Components of time series.
  • Additive vs multiplicative decomposition.
  • Forecast range and train-test split for time series.
  • Types of exponential smoothing and when to use each.

Most likely calculations

  • Odd-period moving average: place the result at the middle year.
  • Even-period moving average: compute raw averages, then center them.
  • Trend by least squares: straight line and parabola.
  • Forecast accuracy: compare actual and forecast using error metrics.
  • SES or Holt calculations with given alpha and beta.

One-line exam mindset

Whenever you see a series, ask: is there trend, seasonality, both, or neither? That one decision chooses most of the method.

Sources Used

This study site is paraphrased and organized from the supplied Introduction to Time Series PDF, Moving Average PDF, cheat sheet DOCX, and the question-bank PDF. The original files remain outside the deployable site folder.