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Multivariate Statistics for Environmental Science

Department Numbers
Department 1: 
EAS
Number 1: 
501.077
Description: 
Multivariate analysis provides the foundational tools for understanding and analyzing data sets that require simultaneous examination of multiple variables. This course aims to enable students with the ability to describe, explore, and find order in data, and to extract underlying structure and patterns. While the course is intended to provide students with a background suitable for a variety of applications, the emphasis will be on the environmental sciences. Further emphasis will be placed on a working knowledge of conventional statistical methods, use of software packages (particularly R), and problem-solving.
 
Students will be expected to have a reasonable level of competence in statistics, mathematics, and computing. The course will culminate with both a final exam and submittal of an individual semester-long project designed to apply fundamentals from the course to a data set selected by the student.

Credits

Minimum Credits: 
3
Maximum Credits: 
3
Undergrad: 
No
Graduate: 
Yes

Terms Offered

Fall Semester: 
No
Winter Semester: 
No