Sensor Data to Save the Planet

Catalog description

Buildings produce a large percentage of the carbon emissions threatening the planet and multi-family residential buildings make up a significant portion of it. With Covid-19 changing the way we live and work, and the increasing amount of data available from buildings, a key to fighting the climate crisis will be turning this data into action. In this course, learn how to analyze interval data and explore visualizing data to motivate tenants and building operators to change their behavior to reduce energy usage at the optimal times. This will involve analyzing the data streams coming from installed sensors and building equipment, understanding how usage varies over time, and transforming raw data into visual interfaces that mobilize us all in the fight to save the planet. This course will teach basics of how time series data can be stored, how to query time series data, and how to understand energy usage from a data set. With these new skills students will design a project using time series data and their JavaScript skills to visualize this data.