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Analysis of Transport Phenomena: Models at MIT USA Overview
Analysis of Transport Phenomena: Models
at MIT USA
Gain a comprehensive overview of Analysis of Transport Phenomena
Duration | 2 weeks |
Total fee | ₹2,401 |
Mode of learning | Online |
Course Level | UG Certificate |
Analysis of Transport Phenomena: Models
Table of content- Overview
- Highlights
- Course Details
- Curriculum
- Faculty
- Entry Requirements
Analysis of Transport Phenomena: Models at MIT USA Highlights
Analysis of Transport Phenomena: Models
at MIT USA
- Earn a certificate after completion
Analysis of Transport Phenomena: Models at MIT USA Course details
Analysis of Transport Phenomena: Models
at MIT USA
What are the course deliverables?
- Formulation of continuum models
- Integral and differential forms of conservation equations
- Interfacial conservation equations
- Models of diffusion
- Random walks
More about this course
- In this first module, you will learn to formulate mathematical models of transport phenomena based on partial differential equations and to solve them by pencil and paper
- You will also learn the art of approximation—how to obtain useful solutions by simplifying a model without sacrificing the key physics. Applications include heat and mass transfer, fluid flow, waves, hydrodynamic instabilities, convection, phase transformations and electrochemical transport
Analysis of Transport Phenomena: Models at MIT USA Curriculum
Analysis of Transport Phenomena: Models
at MIT USA
Models
Mathematical Formulation
Scaling
Asymptotics
Series Expansions
Fluid Mechanics
Convection
Nonequilibrium Thermodynamics
Electrochemical Transport
Analysis of Transport Phenomena: Models at MIT USA Faculty details
Analysis of Transport Phenomena: Models
at MIT USA
Martin Bazant
Martin Z. Bazant is a professor of chemical engineering and applied mathematics at MIT with a background in theoretical physics (PhD, Harvard 1997). His research combines theory and experiments in electrochemical systems and transport phenomena. Current topics include water desalination, flow batteries, and electrodeposition. This work was recognized by the 2015 Alexander Kuznetsov Prize in Theoretical Electrochemistry.
Joey Gu
Joey Gu is a Lecturer and a Digital Learning Scientist in the Department of Chemical Engineering at MIT. He received his Ph.D. in Chemical Engineering from MIT in 2019 working on models of multiphase flow in porous media, and a B.E.(Hon) in Chemical and Materials Engineering from the University of Auckland in 2013. His digital learning work spans MIT’s on-campus teaching and global MOOC offerings. Joey is a recipient of MIT’s student-nominated Teaching with Digital Technology Award in 2022.
Analysis of Transport Phenomena: Models at MIT USA Entry Requirements
Analysis of Transport Phenomena: Models
at MIT USA
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Analysis of Transport Phenomena: Models at MIT USA Contact Information
Analysis of Transport Phenomena: Models
at MIT USA
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