These interactive machine learning demonstrations were developed to support undergraduate and MSc students in the CIVE70111 Machine Learning module at Imperial College London. The tools provide hands-on experience with fundamental machine learning concepts and algorithms, bridging the gap between theoretical understanding and practical application within civil engineering contexts.
Each demonstration features real-time visualization, interactive parameter controls, and educational challenges designed to enhance student understanding of increasingly complex ML concepts.
Centre for Transport Engineering & Modeling, Department of Civil & Environmental Engineering, Imperial College London
These demonstrations are integral to the Data Science Stream, a postgraduate educational pathway offered by the Department of Civil & Environmental Engineering:
The Data Science Stream equips engineers with advanced computational skills and modern ML toolkits, preparing them with practical skills required for our sector's adoption of AI-driven modeling and data-driven solutions. Students develop comprehensive expertise across multiple technical domains:
These materials are developed for educational purposes at Imperial College London.