MATH 2342 1 - Intro to Statistics, Data Mining

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Course Information

Intro Statistics, Data Mining&Analy (MATH 2342)

Term: 2018-2019 Academic Year Summer I

Faculty

Gregory L. Bosworth
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Dr. Widodo Samyono
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Dr. Glendora Carter
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Schedule

Mon-Tue-Wed-Thu-Fri, 8:00 AM - 9:50 AM (6/10/2019 - 7/5/2019) Location: MAIN MEYER M-3

Description

Students collect, organize, analyze, represent, and draw conclusions about data sets using various methods of analysis and a variety of software packages. Methods of analysis include central tendency, variability, probability distribution, correlation, regression, and hypothesis testing. The student experience will culminate in a data mining project that solves a real-world problem. Prerequisites: COSC 1300 and MATH 1314