2020-2021 Graduate Catalogue Archived Catalogue
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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 Fall 2024 Class Schedule.
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