CUSP-GX 7033 Machine Learning for Cities

3 Credits

Student teams engage in projects through the integration and analysis of data, definition and testing of possible solutions, identification of implementation strategies and constraints, and recommendation of preferred solutions and implementation plans. Student teams are challenged to utilize classroom learning within the real-world constraints of city operations and development, while cognizant of political, policy, and financial considerations and issues of data privacy, validity, and transparency. In so doing, student teams are tasked with creating innovative and replicable solutions to pressing urban problems.

Also listed under: Formerly CUSP-GX 5003