Computation for Design and Optimization (CDO)
Intensive Computation for Design and Optimization (CDO) has
become an essential activity in such diverse areas as
telecommunications, imaging, guidance/control, the Internet,
aerospace design, micromachined devices, distribution networks,
traffic management, air transport, web-based retailing, the
electric power grid, and manufacturing scheduling. Effective
computation produces shorter design cycle times, higher-quality
products, and improved functionality.
The MIT CDO program offers a unified treatment of the computational aspects of complex engineered systems. Through hands-on projects and a master's thesis, students develop and apply advanced computational methods to a diverse range of applications, from aerospace to nanotechnology, from Internet protocols to telecommunications system design. Career opportunities for CDO graduates include companies and research centers where systems modeling, numerical simulation, design and optimization play a critical role.
The MIT CDO program educates students in the formulation, analysis, implementation, and application of computational approaches to designing and operating engineered systems, emphasizing:
- Breadth through introductory courses in numerical analysis and simulation, optimization, and applied probability
- Depth in optimization methods and numerical methods for partial differential equations
- Multidisciplinary aspects of computation
- Hands-on experience through projects, assignments, and a
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Working papers relevant to CDO.
(Massachusetts Institute of Technology, 2020)Dengue fever is currently the fastest spreading mosquito-borne disease in the world, and a substantial public health problem due to its geographic spread, intensity, and resulting economic impact. The disease is endemic ...
(Massachusetts Institute of Technology, 2020)The Large Hadron Collider (LHC) is the world's largest and highest energy particle accelerator. With the particle collisions produced at the LHC and measured with the Compact Muon Solenoid (CMS) detector, the CMS experimental ...
Meta-modeling and Optimization of Computational Fluid Dynamics (CFD) analysis in thermal comfort for energy-efficient Chilled Beams-based Heating, Ventilation and Air-Conditioning (HVAC) systems ?(Massachusetts Institute of Technology, 2020)With the rapid rise in the use of air conditioning systems and technological advancements, there is an ever-increasing need for optimizing the HVAC systems for energy efficiency while maintaining adequate occupant thermal ...