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.
- Theory: Classical and Quantum Mechanics
- Theory: Classical Thermodynamics
- Theory: Introduction to Statistical Thermodynamics
- Theory: Modeling non-interacting systems
- Theory: Modeling interacting systems
- Applications: Water
- Applications: Polymers
- Applications: Photosynthesis
- Applications: Liquids
- Applications: Adsorption
- Applications: Electrolytes
- Applications: Oxides and defects
- Applications: Electron and thermal transport
- Applications: Thermoelectrics
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.