STAT 442
Computational Statistics and Data Mining
Spring 2015
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: 10
Expected: 10
Class#: 3462
Grading: yes pass/fail option, yes fifth course option
Limit: 10
Expected: 10
Class#: 3462
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation:
evaluation will be based primarily on homeworks and projects
Prerequisites:
STAT 346 or permission of instructor
Distributions:
Division III
Quantitative/Formal Reasoning
Class Grid
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HEADERS
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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 ReasoningTF 2:35 pm - 3:50 pm
Bronfman 1193462
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