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GGS 354: Data Analysis and Global Change Detection Techniques

Important: For the most up-to-date information, refer to the official George Mason Course Catalog

General Information

Credits: 3

Description:

Introduces basic time series methods, especially those used in detecting trends and randomness in time series data. Various data related to global changes on different temporal and spatial scales will be identified, and the relevant analysis methods will be used to those data so that students can detect or confirm changing trends or lack of them in data. Other topics such as data formats, data visualization, and data mining may also be included based on the background of the student body. Offered by Geography/Geoinformation Sci. Limited to three attempts.
Recommended Prerequisite: IT 104, STAT 250, or permission of instructor
Schedule Type: Lecture
Grading:
This course is graded on the Undergraduate Regular scale.