Chevron Left
Volver a Statistical Thermodynamics: Molecules to Machines

Statistical Thermodynamics: Molecules to Machines, Carnegie Mellon University

3.9
29 calificaciones
7 revisiones

Acerca de este Curso

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....

Principales revisiones

por SS

Jul 01, 2018

This course is advanced level stuff.You got to have high understanding of probability distributions and also a lot of integral calculus is required.

Filtrar por:

7 revisiones

por Sayan seal

Jul 01, 2018

This course is advanced level stuff.You got to have high understanding of probability distributions and also a lot of integral calculus is required.

por Kevin Karn

Jul 29, 2017

Course is very advanced. Listed as "Intermediate," but that should be interpreted as "intermediate for a graduate student in physical chemistry." Math is high level. Lectures are well-produced, but explanation is minimal, and a large number of advanced topics are covered in a very short time. Homework is poorly designed and not very relevant to the lectures, but not too hard if you stick with it. Forums not active or useful. Not a good course if you need close instruction to master many of these topics. Nevertheless, I found the course to be very useful as a survey of chemical/physical applications of thermodynamics. Great way to get a broad overview of the terrain for more in-depth future study.

por Ganapathy Kumar

Jul 10, 2017

The lectures and the handouts are not very clear. The lecture does not have any explanatory information.

por jacques duranceau

May 14, 2017

The content may be correct and up to date, but the lecture is just a reading of pdf files that are largely incomprehensible unless one has already taken a course in statistical thermodynamics. Every other equation introduces new terms with no basis for understanding them. This is apparently also unsupported as the discussion is not active. The "quizzes were ludicrous involving trivial questions and plug and chug questions that required lots of unit changes and no understanding whatsoever. The last quiz was not on the last module, but the whole class and was twice as long. It included a question on adsorption which was in the next module. All in all, this material will be useful for reference after I take a real stat. thermo. course. Coursera should not have this course in the catalog.

por Hsiang-Ju Kai

Apr 24, 2017

Not bad, but would be better if the course could explain more on the details.

por Hristo Goumnerov

Jan 22, 2017

Without a comprehensive background in thermodynamics (which I do not have), advanced mathematics and statistics, this course is extremely hard to impossible to follow. Formulas come out of nowhere and the explanation of the conceptual theory is very thin.

por Sreedath Panat

Nov 11, 2016

Great experience