STAT 442 Spring 2015 Computational Statistics and Data Mining (Q)

In both science and industry today, the ability to collect and store data can outpace our ability to analyze it. Traditional techniques in statistics are often unable to cope with the size and complexity of today's data bases and data warehouses. New methodologies in Statistics have recently been developed, designed to address these inadequacies, emphasizing visualization, exploration and empirical model building at the expense of traditional hypothesis testing. In this course we will examine these new techniques and apply them to a variety of real data sets.
Class Format: lecture
Requirements/Evaluation: evaluation will be based primarily on homeworks and projects
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Prerequisites: STAT 346 or permission of instructor
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Divisional Attributes: Division III,Quantitative and Formal Reasoning
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Enrollment Limit: 10
Expected Enrollment: 10
Class Number: 3462
CLASSES ATTR INSTRUCTORS TIMES CLASS NUMBER ENRL CONSENT
STAT 442 - 01 (S) LEC Computat'l Stats & Data Mining (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Richard D. De Veaux
TF 2:35 PM-3:50 PM 3462
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