Statistical Thermodynamics: Molecules to Machines
- 3.9
Course Summary
This course offers an introduction to statistical thermodynamics, which is the study of the relationship between the microscopic properties of a system and its macroscopic properties.Key Learning Points
- Learn about the basic principles of statistical thermodynamics
- Understand the concepts of entropy, temperature, and free energy
- Explore the behavior of systems in equilibrium and non-equilibrium states
Related Topics for further study
Learning Outcomes
- Understand the basic principles of statistical thermodynamics
- Apply statistical thermodynamics to real-world problems
- Analyze systems in equilibrium and non-equilibrium states
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of calculus and physics
- Familiarity with thermodynamics concepts
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
- Quizzes
Similar Courses
- Chemical Thermodynamics
- Thermodynamics and Statistical Mechanics
- Statistical Mechanics
Related Education Paths
Notable People in This Field
- Theoretical Physicist
- Physicist
Related Books
Description
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.
Outline
- 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
Summary of User Reviews
Learn Statistical Thermodynamics from top-rated instructors. This course covers the fundamental principles of thermodynamics, including heat, work, and entropy. Students praise the engaging lectures and clear explanations.Key Aspect Users Liked About This Course
Engaging lectures and clear explanationsPros from User Reviews
- Instructors are knowledgeable and engaging
- Course materials are well-organized and easy to follow
- Lectures are clear and informative
- The course provides a solid foundation in thermodynamics
- Assignments and quizzes are helpful for reinforcing concepts
Cons from User Reviews
- Some users feel the course is too challenging for beginners
- The pace of the course can be quite fast
- Some users find the math-heavy content difficult to understand
- The course is not suitable for those who are looking for a quick overview of thermodynamics
- The course may require a significant time commitment