Dr. Tom H. Bowlin
EMGT Lecturer
(913) 897-8564 (office)
(913) 897-8682 (fax)
thbowlin@ku.edu

Applied statistical methods to engineering systems will be introduced in this course for analyzing engineering and management systems. Emphasis will be given to applied regression analysis, analysis of variance, analysis of time dependence by smoothing, Bayes method, time series analysis, auto-regressive moving averages and forecasting model. Prerequisite: Skills in probability, statistics, and computer application.

EMGT 802 focuses on the application of statistical methods to engineering systems and operations. Emphasis is on development of personal knowledge, understanding, and application skills. More advanced topics include regression analysis and analysis of variance; time series analysis and Bayesian methods are also addressed.

Current textbook information can be found at the KU Bookstore site.
Students currently enrolled in a course can also find direct links to the bookstore site from within Enroll and Pay.
Contact your instructor if you need additional details.

Students should bring to all class sessions a device with typical/basic mathematical calculation capabilities (e.g., four basic calculations plus square and square root, logarithm and exponentiation, and factorial) and at least basic single-variable statistical capabilities, i.e., calculations of data sum, mean, standard deviation, and variance. Students may wish to bring personal computers (to run on battery power) with Excel software rather than calculators; extensive use will be made of Excel’s built-in statistical functions during class sessions.

The objective of this course is to present fundamental concepts and methods of statistics. Results interpretation and application are stressed. Understanding and application of derived information is emphasized over the mechanics of derivation.