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Statistical Thermodynamics: Molecules to Machines
Coursera
Course
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Statistical Thermodynamics: Molecules to Machines

Carnegie Mellon University

Explore statistical thermodynamics fundamentals to understand molecular interactions and their macroscopic effects with engineering and biological applications.

Unknown8 weeksEnglish14,189 enrolled

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.

What You'll Learn

  • Understand key thermodynamic quantities like heat, work, free energy, and entropy
  • Apply statistical thermodynamics concepts to engineering materials and processes
  • Analyze biological applications using thermodynamic principles
  • Enhance scientific understanding through applied exercises

Prerequisites

  • Basic familiarity with subject concepts and terminology
  • Willingness to engage in applied exercises or case studies

Instructors

V

Venkat Viswanathan

Assistant Professor

Topics

Mechanical Engineering
Physical Science and Engineering
Chemistry
Engineering
Molecular, Cellular, and Microbiology
Materials science
Physics
Biology
Mathematical Modeling
Chemical Engineering

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الهندسة الميكانيكية
العلوم الهندسية الفيزيائية
الكيمياء
الهندسة
البيولوجيا الجزيئية والخلوية
علوم المواد
الفيزياء
البيولوجيا
Mathematical Modeling
Chemical Engineering

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