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Stat 475 syllabus

Statistical Computing and Graphics

Course description: Introduction to computer-assisted data analysis with statistical computer software, including SAS, R/S-Plus. Coverage includes basics of SAS, common SAS statistical procedures, high-dimensional data visualization, some elements of statistical computing such as numerical computation, semi-numerical computation, symbolic and graphical computation, and special topics selected by instructor. Credit for ST 475 and ST 575 is not allowed. Computer Lab fee.

Prerequisites: ST 210 Minimum Grade of C or ST 315 Minimum Grade of C or ST 540 Minimum Grade of C

Text: The textbook is chosen by the instructor.

 


Learning outcomes: Upon the successful completion of the course a student will:

learn various statistical computation techniques
apply statistical computation techniques to solve a wide variety of statistical and data science related problems