CEE 6800
Last Updated
- Schedule of Classes - January 5, 2026 3:59PM EST
Classes
CEE 6800
Course Description
Course information provided by the 2025-2026 Catalog.
This course prepares students to tackle the technical challenges to designing and operating smart and dynamic infrastructure systems. In particular, students will learn to combine data and models to control overall system performance in the face of uncertainty. The class will focus on smart city infrastructure systems that are self-aware, with continual surveillance of the built and natural environment and an autonomous capacity to control resource allocation. This course will build upon fundamental engineering principles (for systems such as transportation, energy, and water resources) and teach students to employ emerging sensor technologies, accompanying data analytics, resource demand forecasting, and model predictive control theory. Students will learn to couple engineering models of infrastructure with data-driven probabilistic models of resource demand and the approaches to control these integrated hybrid systems for optimal and equitable resource allocation with improved resilience to exogenous disturbances. Finally, the class will explore cases studies in urban flooding, energy supply, transportation and air quality, and water supply.
Exploratory Studies (CU-SBY)
Last 1 Terms Offered 2024FA
Regular Academic Session. Combined with: CEE 4800
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MW Uris Hall G01
- Jan 20 - May 5, 2026
Instructors
Albertson, J
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Additional Information
Instruction Mode: Hybrid-Online and In Person
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
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MW
Bloomberg Center 91
Cornell Tech Instructors
Albertson, J
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MW
Bloomberg Center 91
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Additional Information
Instruction Mode: In Person
Enrollment limited to: Cornell Tech students.
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