Undergraduate: CEE Challenges - Design in a Changing World
Sophomore Design Course (12-200). Building upon design themes introduced in 12-100, in this course, students are challenged to solve more complex problems related to conventional, cutting-edge, and emerging issues in Civil and Environmental Engineering (CEE) and one or more of the areas of the built, natural, and information environments, such as smart cities. Through two primary team projects and three skill-building programs, students learn how to apply mathematics, advanced technologies, and computing, to solve open-ended problems that reflect the evolving CEE landscape. By focusing on open-ended problems, students explore the impact and management of tradeoffs, like constructability, sustainability, cost, and maintenance, on design. Throughout the course, students learn communication (visual, written, and design communication), project management, and design skills, and practice the design process, from problem definition to constructed work.
Offered Fall 2021, Fall 2022.
Graduate: Foundations of Intelligent Infrastructure Systems
Graduate Course (12-774). The proliferation of low-cost and high-performing sensors, advancements in wireless communication, and ubiquitous access to cloud computing services have led to the emergence of intelligent infrastructure systems. Intelligent infrastructure systems are those systems in which civil and environmental engineering professionals combine sensing, computing, and actuation to enhance the performance, resilience, accessibility, and sustainability of infrastructure systems. These infrastructure systems are often of significant economic importance, dynamic (with a time basis to their behavior), and comprise complex interactions between cyber, physical, natural, and social components. This course conveys recent advancements enabling intelligent infrastructure systems and serves as a rigorous introduction to the fundamentals of dynamic systems theory applied to infrastructure systems. The systems science introduced in this course emphasizes modeling dynamic systems as continuous and discrete-time systems (Laplace domain and Z-domain system models, respectively), transformation methods between the time and frequency domains, feedback control of dynamic systems, and state-space system models. Coursework and examples are drawn from applications in modeling, monitoring, and controlling structural, transportation, hydraulic, and electrical systems.
Offered Spring 2021, Spring 2022, Spring 2023