Education

This module offers a comprehensive overview of fundamental machine learning concepts and their application to civil engineering applications.

It covers the three principal subfields of modern machine learning, i.e. supervised, unsupervised and reinforcement learning methods. It also teaches students how to implement ML models using Python and specialised tools such as scikit-learn and PyTorch.

Offers an overview of freight transport operations and the underpinning mathematical modelling techniques that are used to manage supply chains and design efficient freight distribution strategies.

The module has a clear focus on analytical methods, decision models and optimisation tools to facilitate the safe, cost-efficient, and timely distribution of goods within cities, countries and across borders.

This course covers the principles of transport systems design in the wider context of the civil engineering profession.

It also offers an initial introduction to Data Science principles for Civil Engineering undergraduates.

This bespoke Executive Education programme was offered to CMA CGM employees at the TANGRAM facility in Marseille. Over 1000 attendees attended the programme over 18 cohorts.

We led the delivery of the Sustainable Shipping segment, offering an overview of the policy landscapes, technological initiatives to support decarbonisation. A deep dive is offered on operational measures that reduce emissions and improve operational efficiency.