MIT Subject Listing & Schedule
Fall 2021 Search Results

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1 subject found.

1.024 Machine Learning for Sustainable Systems

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(Subject meets with 1.224)
Prereq: (1.000 and 1.010) or permission of instructor; Coreq: 6.402
Units: 1-1-4
Credit cannot also be received for 1.224, 2.161, 2.169, 3.100, 3.322, 10.402, 10.602, 20.301, 20.401, 22.042, 22.42

Building on core material in 6.402, emphasizes the design and operation of sustainable systems. Illustrates how to leverage heterogeneous data from urban services, cities, and the environment, and apply machine learning methods to evaluate and/or improve sustainability solutions. Provides case studies from various domains, such as transportation and urban mobility, energy and water resources, environmental monitoring, infrastructure sensing and control, climate adaptation, and disaster resilience. Projects focus on using machine learning to identify new insights or decisions that can help engineer sustainability in societal-scale systems. Students taking graduate version complete additional assignments. Students cannot receive credit without simultaneous completion of the core subject 6.402.
S. Amin