Master in Business Logistics Engineering
Elective Curriculum
Elective Courses
1 course from the following:
ISE 610 (Planning of Engineering Experiments — 3 cr.)
Study of the planning of industrial and research experiments.
Au, Wi Qtrs.
ISE 709 (Stat. Quality Control and Quality Management — 3 cr.)
Emphasizes the application of modern methods in quality engineering.
Sp Qtr.
STAT 645 (Applied Regression Analysis — 5 cr.)
Simple and multiple linear regression, diagnostics, model selection, models with categorical variables.
Au, Wi, Sp Qtrs. 3 cl.
1 course from the following:
AMIS 501 (Accounting and Cost Analysis — 3cr.)
An introduction to financial statement analysis and cost analysis for planning, decision-making, and control.
Au, Sp Qtrs. 2 1.5-hr cl.
FIN 620 (Business Finance — 4 cr.)
Introduction to financial management of business firms; financial analysis, planning and control; working capital management; capital investment decisions and required rates of return; capital structure decisions and sources of financing.
Su, Au, Wi, Sp Qtrs. 2 2-hr cl.
FIN 721 (Corporate Finance — 4 cr.)
Effects of projects and financial policy on stockholder wealth; capital budgeting, project cost of capital, dividend policy, debt policy, leasing policy, and option pricing.
Su, Au, Wi, Sp Qtrs. 2 2-hr cl.
FIN 722 (Investment Management — 4 cr.)
Investment objectives; types of investments and their relative merits; security prices and yields; investment programs; and taxes.
Su, Au, Wi, Sp Qtrs. 2 2-hr cl.
1 course from the following:
M&L 884 (Field Problems in Logistics — 4 cr.)
Provide students with supervised opportunity to test their problem solving skills on an actual business problem through developing, executing and evaluating a research design.
Wi Qtr. 2 2-hr cl.
M&L 885 (Supply Chain Management — 4 cr.)
Deals with the cross-functional integration of key business processes within the firm and across the network of firms that comprise the supply chain.
Au Qtr. 2 2-hr cl.
MGT 820 (Project Management - 4cr.)
Examines the management of complex projects and the tools that are available to assist managers with such projects.
Wi Qtr. 1 4-hr cl.
MGT 834 (Strategic Design of Ops./Logistics Systems — 4 cr.)
Managing systems of people and technology to create capabilities in operations. Emphasis is on new approaches to managing operations and logistics that promise strategic advantage.
Wi Qtr. 2 2-hr cl.
MGT 835 (Ops. Planning and Materials Management — 4 cr.)
The major responsibilities of materials managers; including aggregate planning and master scheduling, inventory management, and scheduling; major issues and strategies including tactical purchasing methods, techniques for analysis, and Japanese manufacturing philosophies will be discussed.
Wi Qtr. 2 1.5-hr cl.
CIVIL XXX (Network Algorithms in Transportation Systems — 5 cr.)
This course will cover basic analysis tools such as the time space diagram, queuing theory, and traffic flow theory. Then demonstrate these tools in the context of road networks and signalized intersections. Finally, the course will close with network metrics and routing problems. The course typically includes a field study.
Wi Qtr.
ISE 662 (Introduction to Applied Decision Analysis — 3 cr.)
Introduction to decision analysis and its application; deals with modern utility theory and the application of this theory to engineering decisions under risk.
Au, Wi Qtrs.
ISE 703 (Stoch. Proc. Used in Systems Engineering I — 3 cr.)
Introduction to modeling of stochastic systems, including Poisson processes and Markov chains.
Au Qtr.
ISE 824 (Sequencing and Scheduling — 3 cr.)
Survey of sequencing/scheduling problems encountered in management systems. Emphasis is given to those problems and solution methods found in the literature.
Sp Qtr. 2 1.5-hr cl.
ISE 831 (Mathematical Programming: Nonlinear — 3 cr.)
Convex sets, convex functions, saddle point optimality criteria, the Fritz John and Kuhn-Tucker conditions, sensitivity and parametric results, applications, and an introduction to algorithms.
Wi Qtr. 2 cl.
ISE 834 (Integer Optimization Methods — 3 cr.)
Methods used in the solution of optimization problems which contain integer variables. The emphasis is on general properties and the use of standard methods.
Au Qtr. 2 1.5-hr cl.