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Searched for: 1 subject found.
1.C01 Machine Learning for Sustainable Systems
(
); second half of term
(Subject meets with 1.C51)
Prereq: 6.C01 and ((1.000 and 1.010) or permission of instructor)
Units: 1-1-4
Begins Mar 31. Lecture: TR10.30-12 (1-390) Recitation: F1 (1-390)
Building on core material in 6.C01, 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 completion of the core subject 6.C01.
S. Amin
No required or recommended textbooks
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