STAT 442
Statistical Learning and Data Mining
Spring 2025
Division III
Q Quantitative/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; Students cannot take both STAT 315 and STAT 442. Only one of the two can be taken for credit.
Limit: 20
Expected: 15
Class#: 3567
Grading: yes pass/fail option, yes fifth course option
Limit: 20
Expected: 15
Class#: 3567
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation:
class participation, weekly homework, exams and an end-of-term project
Prerequisites:
MATH/STAT 341 and 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:
Divison III
Quantitative/Formal Reasoning
QFR Notes:
This is an advanced statistics class involving theory and application of statistical methods to data.
Class Grid
Updated 11:20 am
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STAT 442 - 01 (S) LEC Stat Learning and Data Mining
STAT 442 - 01 (S) LEC Stat Learning and Data MiningDivision III Q Quantitative/Formal ReasoningMR 2:35 pm - 3:50 pm
3567OpenNone