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Вернуться к Статистическая термодинамика: от молекул до машин

Отзывы учащихся о курсе Статистическая термодинамика: от молекул до машин от партнера Университет Карнеги – Меллон

3.8
звезд
Оценки: 44
Рецензии: 10

О курсе

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....

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1–10 из 10 отзывов о курсе Статистическая термодинамика: от молекул до машин

автор: Jacques D

14 мая 2017 г.

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.

автор: Kevin K

29 июля 2017 г.

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.

автор: Hristo G

22 янв. 2017 г.

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.

автор: Sayan s

1 июля 2018 г.

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

автор: Ganapathy K

10 июля 2017 г.

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

автор: Hsiang-Ju K

24 апр. 2017 г.

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

автор: Sreedath P

11 нояб. 2016 г.

Great experience

автор: Jonathan G H

26 мая 2020 г.

Excellent Handouts and Brief Videos. Great Evaluation methods, recommended for those who know Calculus and Statistics.

автор: Richard A P R

18 июня 2020 г.

Some times is complicated

автор: Ricardo A V

26 окт. 2021 г.

the course is pitched at graduate level with no feedback on what and why went wrong.... I am giving one star, because 80% score, is a requirement to pass exams....There is no feedback and no info on your rights or wrongs, a consolidated score is shown, only... Pushing you to answer each individual question at the time and not the whole quiz at once.... The pass grade should be lowered to 60%....Worst of all, this course IS NOT SELF CONTAINED. Actually, you must resort to subject material involving third parties . No CMU nor Coursera.org sanctioned material is enough to pass this course