John  Draper

John Draper

Senior Lecturer in Management Sciences

Management Sciences

Background

John Draper joins the Department of Management Sciences as a senior lecturer. He comes from The Ohio State University’s Department of Statistics, where he served as visiting faculty and taught both graduate and undergraduate courses in statistical theory and application. His teaching experiences at Ohio State also include statistics in business, engineering and sports as well as biostatistics courses for graduate-level students in the College of Public Health and Dentistry.

Draper has a PhD and MS in statistics from Ohio State as well as BS degrees in mathematics and statistics from Florida State University.

His professional experiences include roles as a statistical consultant as well as positions at Battelle Memorial Institute and Cengage Learning. Draper is a member of the American Statistical Association, and the recipient of the Thomas E. and Jean D. Powers Award for Outstanding Teaching Associate.

Draper is a proud alum of The Ohio State University Marching Band (2003-07) and the Florida State University Marching Chiefs (1999-2003). He has also worked closely with the OSUMB in halftime show design since 2006.


Areas of Expertise

  • Lean management system
  • Six Sigma methodology
  • Lean office

Education

  • PhD in Statistics, The Ohio State University
  • BS in Mathematics, Florida State University
  • BS in Statistics, Florida State University

Courses

  • BUSMGT 2320 - Decision Sciences: Statistical Techniques

    Examination of the use of statistical techniques in managerial decision-making processes; statistical inference, simple and multiple regression, time series. Prereq: Math 1131 (132), or 1151 (152); and Stat 1430 (133); and CSE 1113, or 2111 (200); and Econ 2001.01 (200). Prereq or Concur: Econ 2002.01 (201). Not open to students with credit for 330. This course is available for EM credit.

  • BUSMGT 7258 - Sports Analytics for Business

    Analytical techniques and quantitative methods are on the rise in many areas of industry, and, of late, have made their foray into the sports realm. Skills such as critical thinking, mathematical modeling, statistical analysis, predictive analytics and optimization are crucial in the data-centric realm. The class seeks to develop and refine these skills in the business application area of sports. Prereq: MBA 6271, and enrollment in MBA or WPMBA program.

  • BUSMGT 7194.31 - Group Studies

    Group studies projects. Prereq: Permission of instructor. Repeatable to a maximum of 12 cr hrs or 6 completions.

  • BUSMGT 4242 - Business Sports Analytics

    Analytical techniques and quantitative methods are on the rise in many areas of industry, and, of late, have made their foray into the sports realm. Skills such as critical thinking, mathematical modeling, statistical analysis, predictive analytics and optimization are crucial in the data-centric realm. The class seeks to develop and refine these skills in the business application area of sports. Prereq: Stat 3202, or permission of instructor.

  • BUSMGT 7256 - Tools for Data Analysis

    This course is designed to introduce students to commonly used software programs in data science and improve students' problem solving skills and logical thought processes. Students will be exposed to R, SAS, and SPSS. Prereq: MBA 6271 or 6273.