Carnegie Mellon University - Statistical Thermodynamics: Molecules to Machines
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Statistical Thermodynamics: Molecules to Machines at Coursera Overview
Duration | 10 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Statistical Thermodynamics: Molecules to Machines at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 10 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Statistical Thermodynamics: Molecules to Machines at Coursera Course details
- 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.
Statistical Thermodynamics: Molecules to Machines at Coursera Curriculum
Theory: Classical Thermodynamics
Module 1.1: Classical Mechanics
Module 1.2: Quantum Mechanics
Module 2.1: Classical Thermodynamics
Module 2.2: Phase Equilibrium
Assignment 1
Entry Survey
Hands-on demo kit
Theory: Introduction to Statistics and Statistical Thermodynamics
Module 3.1: Statistics
Module 3.2: Statistical Thermodynamics
Assignment 2
Theory: Non-interacting systems
Module 4.1: Non-Interacting Systems: Two-level System
Module 4.2: Non-Interacting Systems: Ideal Gas
Module 4.3: Non-Interacting Systems: Electrons
Module 4.4: Non-Interacting Systems: Phonons
Module 4.5: Non-Interacting Systems: Photons
Assignment 3
Theory: Interacting systems
Module 5.1: Ising Model: Introduction
Module 5.2: Ising Model: Mean-field Approximation
Module 5.3: Ising Model: Fluctuations
Assignment 4
Applications: Water, Polymer and Photosynthesis
Module 6.1: Water: Two-phase model
Module 6.2: Water: Unique properties
Module 7.1: Polymers
Assignment 5
Applications: Photosynthesis, Liquids
Module 8.1: Photosynthesis
Module 9.1: Classical Liquids
Module 9.2: Classical Liquids: Measurement
Assignment 6
Application: Adsorption, Electrolytes
Module 10.1: Adsorption: Non-interacting adsorbates
Module 10.2: Adsorption: Interacting adsorbates
Module 11.1: Electrolytes
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Statistical Thermodynamics: Molecules to Machines at Coursera Admission Process
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