Graduate Certificate in Computational Energy Engineering
-- ViewingNowThe Graduate Certificate in Computational Energy Engineering is a crucial course designed to equip learners with the latest computational tools and techniques for energy engineering. This program meets the growing industry demand for professionals who can leverage computational methods to optimize energy systems and processes.
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โข Computational Methods in Energy Engineering: Introduction to numerical methods and simulation tools used in energy engineering. Topics include finite difference, finite volume, and finite element methods.
โข Thermodynamics and Heat Transfer: Advanced study of thermodynamics and heat transfer principles, including conduction, convection, and radiation.
โข Renewable Energy Systems: Analysis and design of renewable energy systems, including solar, wind, and hydro power systems.
โข Energy Economics and Policy: Examination of the economic and policy issues related to energy systems, including cost-benefit analysis and life-cycle assessment.
โข Computational Fluid Dynamics: Study of the principles and applications of computational fluid dynamics in energy engineering.
โข Data Analytics for Energy Engineering: Introduction to data analytics techniques and their application in energy engineering, including data visualization, machine learning, and optimization algorithms.
โข High-Performance Computing for Energy Engineering: Study of the principles and applications of high-performance computing in energy engineering, including parallel computing, distributed computing, and cloud computing.
โข Energy Storage Technologies: Analysis and design of energy storage technologies, including batteries, capacitors, and flywheels.
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