Big data analytics predicting sustainable and healthy housing

This course explores how big data analytics can be used to predict and promote sustainable and healthy housing. Using large data sets that cover energy consumption, indoor air quality, and building materials, students will learn to develop predictive models to identify potential problems and optimize building performance. The course will cover essential data science concepts such as data collection, data exploration and visualization, and data modeling, applied to the specific context of housing. Students will gain hands-on experience analyzing real-world housing data, interpreting results, and drawing actionable insights to inform sustainable building design and policy decisions.