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STAT
442
Statistical Learning and Data Mining
Spring 2021
Division III
Quantative/Formal Reasoning
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; Hybrid format. Students cannot take both STAT 315 and STAT 442. Only one of the two can be taken for credit.
Limit: 15
Expected: 10
Class#: 5386
Grading: no pass/fail option, no fifth course option
Limit: 15
Expected: 10
Class#: 5386
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation:
homework, exams and projects
Prerequisites:
STAT 346 or permission of instructor
Enrollment Preferences:
Statistics majors, juniors and seniors. Students cannot take both STAT 315 and STAT 442. Only one of the two can be taken for credit.
Distributions:
Division III
Quantative/Formal Reasoning
QFR Notes:
This is an advanced statistics class involving theory and application of statistical methods to data.
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STAT 442 - H1 (S)
LEC Stat Learning and Data Mining
STAT 442 - H1 (S) LEC Stat Learning and Data MiningDivision III Quantative/Formal ReasoningMWF 10:40 am - 11:30 am
Clark Hall 1055386OpenInst
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