Course Description
An introduction to operational research, graph theory, optimal paths, linear programming dynamic programing, and scheduling with PERT. Maximizing flows in networks and modelling road networks is covered. The course will emphasize handling of biological materials.
Additional Requirements for Graduate Students:
Graduate students will select a logistics problem germane to
their research and apply a suite of software tools to modeling
the problem. A report and presentation of results to the class
will be expected.
Athena Title
Logistical Engineering
Prerequisite
AENG 3100
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Course Objectives
Students will be able to apply simple graph theory, linear programming, and dynamic programing to optimize flows in transportation networks within micro (e.g., farm or plant) or macro (e.g., state or national) contexts.
Topical Outline
Introduction to Operations Research Biological Considerations Elements of Graph Theory Optimal Paths Dynamic Programming Scheduling Tools such as PERT Maximum Flow in a Network Trees, Tours of Graph Theory to Analyze Transportation Linear Programming Transportation Models