ESI 4011 - Data Analytics for Smart City & Transportation

Course Description: This course focuses on design strategies, simulation techniques, and data analytics to strengthen the knowledge of existing cities, and understand the needs and requirements of future cities through a data driven analysis. Smart cities utilize information and communication technologies to enhance the quality and performance of transportation, utility and energy services from cost and consumption perspectives. The course explains how smart cities operate in a controlled and monitored network environments and discusses techniques to work with data generated by transportation and communication networks, crowd-sensing systems and other relevant technologies.
Prerequisites: ESI 3005 - Introduction to Networks and a Connected World or CNT 3004C - Introduction to Computer Networks