2020-2022 Undergraduate and Graduate Bulletin (with addenda) 
    
    Jan 20, 2022  
2020-2022 Undergraduate and Graduate Bulletin (with addenda)
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CE-UY 4393 Analytics and Learning Methods for Smart Cities

3 Credits
Basics of analytics and learning methods, with extensive applications in smart cities. Focuses on introduction of analytics and learning algorithms in their very basic forms, implementation in common coding languages, and smart city applications. Topics include probability review, inference, linear regression, classification, neural networks, and introduction to reinforcement learning. Applications include autonomous vehicles, traffic control, public transit, ridesharing, urban emergency response, smart grid, and smart buildings.

Prerequisite(s): CS-UY 1113  and MA-UY 2224  or equivalents.
Weekly Lecture Hours: 3



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