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Carnegie Mellon University - Statistical Thermodynamics: Molecules to Machines 

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Statistical Thermodynamics: Molecules to Machines
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Overview

Duration

10 hours

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

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Statistical Thermodynamics: Molecules to Machines
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Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
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  • Intermediate Level
  • Approx. 10 hours to complete
  • English Subtitles: French, Portuguese (European), Russian, English, Spanish
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Statistical Thermodynamics: Molecules to Machines
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • 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

Office Hours

Thank You

Thank You

Statistical Thermodynamics: Molecules to Machines
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Statistical Thermodynamics: Molecules to Machines
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