Coursera
list 8 sequences
assignment Level : Intermediate
chat_bubble_outline Language : English
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Key information

credit_card Free access
verified_user Fee-based Certificate
timer 28 hours in total

About the content

Modern engineering research focuses on designing new materials and processes at the molecular level. Statistical thermodynamics provides the formalism for understanding how molecular interactions lead to the observed collective behavior at the macroscale. This course will develop a molecular-level understanding of key thermodynamic quantities like heat, work, free energy and entropy. These concepts will be applied in understanding several important engineering and biological applications.

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Syllabus

The class will consist of 5 modules developing the theoretical aspects of statistical thermodynamics and 9 application modules applying the theory to systems of practical interest.
  1. Theory: Classical and Quantum Mechanics
  2. Theory: Classical Thermodynamics
  3. Theory: Introduction to Statistical Thermodynamics
  4. Theory: Modeling non-interacting systems
  5. Theory: Modeling interacting systems
  6. Applications: Water
  7. Applications: Polymers
  8. Applications: Photosynthesis
  9. Applications: Liquids
  10. Applications: Adsorption
  11. Applications: Electrolytes
  12. Applications: Oxides and defects
  13. Applications: Electron and thermal transport
  14. Applications: Thermoelectrics
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Intructors

Venkat Viswanathan
Assistant Professor
Mechanical Engineering

assistant

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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