Organzied by the 11-6 (Urban Science and Planning with Computer Science) program, this course builds on the urban-related 6.100B problem sets (network routing, recursion and Monte Carlo simulation) but focuses on real-world contexts and decision-making cases. You will look into why these problems matter and who make the decisions - from the access and control of local roads, to mandatory insurance policy for coastal development, to locating essential public services, and hone your innovative problem-solving ability by designing and testing alternative problem formulations and exercising Python programming skills.

11.085 | 1-0-1 Units for registered students. Audits welcomed.

Schedule (All sessions are 10AM-12PM in 9-255):

• Wednesday, January 28 (Socio-technical Perspectives on Path Optimization Problems)
• Thursday, January 29 (Stakeholders’ Interests and Risks in Public Policy Making)
• Friday, January 30 (Polling Places Locations, Closures and Where to Provide Essential Public Services)