DSC 551 - Spatial-Temporal Analysis

Course Description: An introduction to the analysis of longitudinal data. Topics include stationary and non-stationary time series, analysis of trends using regression methods, ARIMA model specification, forecasting, spectral analysis and analysis of temporal data that has a spatial component.

Credit Hours: 3

Corequisite Courses: None
Prerequisite Courses: None
Additional Restrictions/ Requirements: None
Course Repeatability: Course may not be repeated Maximum Repeatable Hours: 3

ADDITIONAL COURSE INFORMATION

Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: MS Data Science Program Fee Additional Fee Amounts
Course Attribute: None

Click here for the Spring 2025 Class Schedule.