STAT 442
Computational Statistics and Data Mining
Spring 2018
Division III
Quantitative/Formal Reasoning
This is not the current course catalog
Class Details
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.
The Class:
Format: lecture
Limit: 14
Expected: 10
Class#: 3696
Grading: no pass/fail option, no fifth course option
Limit: 14
Expected: 10
Class#: 3696
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation:
evaluation will be based primarily on homeworks and projects
Extra Info:
may not be taken on a pass/fail basis; not available for the fifth course option
Prerequisites:
STAT 346 or permission of instructor
Enrollment Preferences:
seniors and Statistics Majors
Distributions:
Division III
Quantitative/Formal Reasoning
Class Grid
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HEADERS
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CLASSESColumn header 2DREQColumn header 3INSTRUCTORSColumn header 4TIMESColumn header 5CLASS#
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STAT 442 - 01 (S) LEC Computat'l Stats & Data Mining
STAT 442 - 01 (S) LEC Computat'l Stats & Data MiningDivision III Quantitative/Formal ReasoningBrianna C. HeggesethTF 2:35 pm - 3:50 pm
Jesup 2053696
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