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Course ID:	STAT 4270/6270. 3 hours.
Course Title:	Network Data Analysis and Graphical Models
Course Description:	Network structures are increasingly common across the sciences, such as brain connectivity, gene-gene interaction, protein-protein interaction, the spread of diseases, social networks, etc. This course will introduce state-of-the-art concepts and algorithms concerning networks in statistics and machine learning. The presentation will entail a conscious balance of concepts, algorithms, and applications.
Athena Title:	Network Data Graphical Models
Undergraduate Prerequisite:	STAT 4230/6230 and STAT 4510/6510
Graduate Prerequisite:	STAT 6220 or STAT 4230/6230 or STAT 6315 or STAT 6420 or STAT 8200 or permission of department
Semester Course Offered:	Offered fall, spring and summer semester every year.
Grading System:	A-F (Traditional)

Syllabus: No Syllabus Available