Jul 15, 2024  
2023-2024 Cal State East Bay Catalog 
    
2023-2024 Cal State East Bay Catalog [ARCHIVED CATALOG]

Add to Folder (opens a new window)

STAT 474 - Introduction to Time Series and Forecasting


Units: 3
Analysis of correlated data in time, trends, seasonal patterns, periodicity, autocorrelation, spectral analysis, filtering, time domain versus spectral domain.  Decomposition, auto-regression, ARIMA, and forecasting.  Applications to data in economics, engineering, seismology. Report writing.  Use of computer software.

Prerequisites: One of: STAT 100, STAT 110, STAT 303, STAT 316, STAT 330.
Possible Instructional Methods: On-ground.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Variable Intermittently


Student Learning Outcomes - Upon successful completion of this course students will be able to:
  1. apply basic computational skills in descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis, including the use of large data sets;
  2. analyze data using appropriate software, including cloud-based software, and to interpret results covering descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis, including the use of large data sets;
  3. communicate to non-statisticians results involving descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis using reproducible research best practices.




Add to Folder (opens a new window)