Dr. Barker has taught several courses in applied statistics and systems engineering at the undergraduate and graduate level, including study abroad offerings at OU's study centers in Arezzo, Italy and Puebla, Mexico.
Introduction to probability, one and higher dimensional random variates, function of random variables, expectation, discrete and continuous distributions, sampling and descriptive statistics, parameter estimation, use of statistical packages.
Taught Su08, Su09, Sp11, Sp12, Sp13, Sp14, Sp15, Sp17, Sp18, Sp19, Sp20, Sp21, Sp22, Sp24, Sp26
Taught at OU in Arezzo in Fa15, Fa16, Fa17, Fa18, Fa19, Fa22, Fa23
Introduction to probability, expectation, discrete and continuous distributions, sampling and descriptive statistics, parameter estimation, and statistical tests to aid decision making. The student will learn analysis techniques for verification of systems parameters. Lecture videos available on YouTube.
Taught online Su15, Su16, Fa16, Su17, Fa17, Su18, Fa18, Su19, Fa19, Su20, Fa20, Sp21, Su21, Fa21, Sp22, Su22, Fa22, Su23, Fa23, Sp24, Su24, Fa24, Su25, Fa25, Sp26
Focuses on the development and evaluation of alternate system and process designs. Development of system goals, requirements, and performance measures; ranking of alternatives and decision analysis techniques. Review and development of trade studies. (developed for transition to School of Industrial and Systems Engineering)
Taught Fa13, Fa14, Fa15, Fa16, Fa17, Fa18, Fa19, Fa20, Fa21, Fa22, Fa23, Fa24, Fa25
Fundamentals of statistical models for describing engineering systems and processes. Analysis of variance, multiple regression, logistic regression, time series, clustering. Emphasis is placed on decision making. (formerly Engineering Experimental Design)
Taught Fa08, Fa09, Fa10, Fa11, Fa12, Fa13, Fa14, Fa15, Fa16, Fa17, Fa18, Fa19, Fa20, Fa21, Fa22, Fa23, Fa24, Fa25
The use of statistical methods for quality control and improvement in product and process environments, as well as introductory applied probability for component and system reliability. Topics include philosophies of quality management, control chart theory and application, process capability, and performance metrics of reliability. Focus is given to decision making in engineering systems.
Taught Sp09, Sp10, Sp11
Probabilistic reliability models for the lifetimes of manufactured components. Structure functions, system reliability calculations, lifetime distributions, models of dependence, parameter estimation, availability, maintainability, burn-in, preventive maintenance.
Taught Sp13
Development of multiple regression, logistic regression, and other related regression approaches. Topics include data transformations, dummy variables, model checking, and interpretation of models.
Taught Fa09
Fundamentals of decision analysis and the incorporation of risk to improve decision making. Topics include structuring decision problems, developing alternatives, single and multiple objectives, utility theory, risk tolerance, data-driven and subjective probability, and psychological pitfalls.
Co-taught Fa11