CEE 6800
Last Updated
- Schedule of Classes - April 13, 2023 2:00PM EDT
- Course Catalog - April 12, 2023 7:14PM EDT
Classes
CEE 6800
Course Description
Course information provided by the Courses of Study 2022-2023.
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.
When Offered Fall.
Course Attribute (CU-SBY)
- Apply data-driven models to forecast resource demand for infrastructure applications.
- Apply model predictive control principles to smart infrastructure systems.
- Critically evaluate the security, overall performance, and equity of resource allocation for smart infrastructure systems.
- Identify open research and development needs in the engineering of smart cities.
- Propose promising approaches to closing the existing R&D gaps.
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
- TR Upson Hall 206
- Aug 22 - Dec 5, 2022
Instructors
Albertson, J
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Additional Information
Instruction Mode: 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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TR
Online Meeting
Cornell Tech - Aug 22 - Dec 5, 2022
Instructors
Albertson, J
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TR
Online Meeting
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Additional Information
Instruction Mode: Distance Learning-Synchronous
Taught in NYC at Cornell Tech. Class will be streaming from Ithaca.
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