Education
Prof Panagiotis Angeloudis is the course director for the MSc in Transport and Data Science, offered by the Centre for Transport Engineering & Modelling at Imperial College London.
We are also offering the following modules:
CIVE70111 – Machine Learning
MSc Engineering & Data Science Cluster (PG), Autumn Term (2024 - Present)
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, ie. supervised, unsupervised and reinforcement learning methids. It also teaches students how to implement ML models using Python and specialised tools such as scikit-learn and PyTorch.
- Week 1: Foundations of Artificial Intelligence
- Week 2: Introduction to Linear Regression
- Week 3: Regularisation Methods & Logistic Regression
- Week 4: Neural Networks
- Week 5: Computer Vision & Convolutional Neural Networks
- Week 6: Graph Neural Networks
- Week 7: LSTMs & Transformers
- Week 8: Principles of Unsupervised Learning
- Week 9: Reinforcement Learning Methods
- Week 10: Model Free and Deep RL
CIVE70108 – Freight Transport
MSc Transport Cluster (PG), Spring Term (2020 - Present)
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.
- Week 1: Introduction to Logistics
- Week 2: Inventory Management Methods
- Week 3: Optimisation of Supply Chain Networks
- Week 4: Tour Planning Algorithms
- Week 5: Vehicle Routing Problems
- Week 6: Facility Location Models
- Week 7: Maritime Freight
- Week 8: Risk in Supply Chains
- Week 9: Health & Emergency Logistics
CIVE60008 - Transport Systems
MEng Civil & Environmental Engineering (UG), Autumn Term (2012 - Present)
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. The module is structured as follows:
- Week 1: Introduction to Transport Models
- Week 2: Network Analytics
- Week 3: Principles of Mathematical Optimisation
- Week 4: Introduction to Logistics
- Week 5: Freight Transport Networks
- Week 6: Supply Chain Models
- Week 7: Vehicle Routing Problems
- Week 8: Traffic Assignment
- Week 9: Transport Planning
- Week 10: Transport & Environment
Climate Learning Programme
Imperial College Business School x CMA CGM - TANGRAM (2024 - Present)
This bespoke Executive Education programme has been offered to CMA CGM employees at the TANGRAM facility in Marseille. Over 1000 attendees have attended the programme to-date over multiple 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.