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

This course emphasizes the use of general system theory, classical optimization and optimality conditions, model development, and theory and application of mathematical programming, to include: linear programming, dynamic programming, queuing models, integer and non-linear programming, and introduction to decision analysis. Prerequisite: Elementary skills in linear algebra, probability, calculus, and computer application.

This course introduces the student to the practical application of quantitative analysis in decision making, emphasizing optimization. Techniques covered in detail are linear and integer linear programming. Nonlinear programming, decision analysis and queuing are other techniques included in the course. Limited theoretical background is presented, but the course focuses on practical skills for enhancing day-to-day decision making. Excel and Storm software are used in the course.

A combination of presentation, in-class activities, problem sets, group and individual projects are used to clarify and reinforce concepts and skills development. A semester project is required of each student, demonstrating their capabilities in the application of quantitative analysis to real-world problems.

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.