CIV_ENV 474-0
Data Analytics for Urban Systems
This course presents concepts as well as computing tools for analyzing large data sets that are collected to improve urban systems with a particular focus on transportation. It covers tools for data exploration, preprocessing, mining, and visualization; up-to-date machine learning algorithms – random forest, xgboost, deep learning algorithms and reinforcement learning.
Sources
- Course catalogue ↗2026–2027