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This postgraduate course covers engineering methods applied to transport logistical systems. In this course, the material provided will cover the basics of graph theory, algorithmic complexity and mathematical programming, which are critical tools to solve complex decision-making problems arising in the field of transportation. These advanced methods will be then used to create engineering solutions to manage existing logistical systems as well as answer questions on transport infrastructure needs. Throughout the course, these techniques will be illustrated on challenging transport and logistics problems such as network flows, facility location, vehicle routing, transit systems as well as rail and air logistics. After completing this course, students will have been exposed to efficient methods and their application to solve transport and logistics decision-making problems. The course will use real data for a course project as well as invite leading practitioners to present their expertise on selected topics. This course will help address the gap of transport logistics engineering in the Masters for Transportation Engineering Curriculum.

Study Level


Offering Terms

Term 1



Delivery Mode

Fully on-site

Indicative contact hours


Course Outline

To access course outline, please visit:


Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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