CYPLAN 257
Data Science for Human Mobility and Socio-technical Systems
Techniques for analyzing individual daily activities and travels both at urban and at global scale. The course is designed for graduate students interested in methods to analyze human dynamics, and their interactions with the built and the natural environment. Course covers five units each of which is centered in a seminal research paper. Students learn to reproduce the results of the selected paper in the classroom via computer labs, and through a related data analysis and modeling assignments.
Topics
- The course reviews basic concepts of data analysis, modeling, and visualization. Methods include principal component analysis to identify the structure inherent in daily behavior, spatial clustering, introduction to fractals, random walks and parsing of spatial trajectories. Ending with models and methods to represent various socio technical systems as networks, such as: daily commuting, air travels, and roads.
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027