MATH 2342 2 - Intro to Stats, Data Mining, & Anal

Help

Course Information

Intro Statistics, Data Mining&Analy (MATH 2342)

Term: 2017-2018 Academic Year Spring

Faculty

Benson Kariuki
Benson KariukiShow MyInfo popup for Benson Kariuki

Office Hours

  • Start Date: August 10, 2020  8:00AM
  • End Date: Nov 20 2020 5:00PM
  • Remote Meeting: Live ZOOM Meeting on Tuesday, 1:00 PM
  • Other Teaching Platform:  Online
  • Telephone (903) 730-4890 Ext 2115
Gregory L. Bosworth
Gregory L. BosworthShow MyInfo popup for Gregory L. Bosworth
Email address is hidden, click here to email
Dr. Widodo Samyono
Dr. Widodo SamyonoShow MyInfo popup for Dr. Widodo Samyono
Email address is hidden, click here to email
Email all faculty members

Schedule

Mon-Wed-Fri, 10:00 AM - 10:50 AM (1/8/2018 - 5/4/2018) Location: MAIN MEYER S-19

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