Special Topic: Predictive Analytics for Civil and Natural Systems

Description

The course provides instruction on how to use machine learning and data analysis for predictive modelling and insight into complex, interdisciplinary problems. The course will introduce a series of machine learning models and will heavily focus on their appropriate use with respect to validation, communication, and potential ethical issues. This course will be suitable for students from a variety of fields and examples will be taken from civil and natural systems engineering, disaster risk and resilience, urban planning, and public health. It will be primarily an applied course with programming being a heavy component throughout. Knowledge, or quick study, of Python3 is expected. A major component of the course will be a research-based term project where students will integrate multiple, diverse data sources to gain strong predictive accuracy and insight.