Explores the intersection of engineering and improvisation, emphasizing creativity and problem-solving in innovative projects.
Students present elevator pitches showcasing their diverse talents and aspirations for effective project teams.
Covers the challenges and opportunities of data mining, practical questions, algorithm components, and applications like shopping basket analysis.
Explores levels of data abstraction, model building, usage, and representation, and the utility of information systems for decision-making.
Explores the development of data science, education initiatives, and challenges in bridging the gap between data scientists and domain experts at EPFL.
