Course Evaluation Customization Form

Viewing: CHEMENG 340, section 01


Term: 1192 - 1192
Instructor: Qin, Statt, Rudnicki

Learning Goals

Learn how to manipulate thermodynamic variables into measurable or physically relevant quantities and derivatives using Legendre Transforms, Maxwell's Relations, and mathematical identities for partial derivatives.
How well did you achieve this learning goal in this course?


Understand the second-law analysis of thermodynamic stability and the integral role of entropy in defining thermodynamic equilibrium.
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Understand how a classical thermodynamic analysis of even simple equations of state (such as the Van-der-Waals EOS) can predict phase transitions, coexistence, and metastability.
How well did you achieve this learning goal in this course?


Recognize the connection between the various statistical ensembles, how to mathematically relate them, and when each choice of ensemble is appropriate. Recognize the importance of fluctuations and how they enter the different ensembles.
How well did you achieve this learning goal in this course?


Recognize the connection between classical thermodynamics and statistics in defining and determining the partition function and probabilities in each statistical ensemble. Be comfortable deriving the partition function for different ensembles.
How well did you achieve this learning goal in this course?


Understand how the statistics of a many body system can be dramatically simplified when particles are non-interacting. Understand the meaning of distinguishability and how it affects our mathematical treatment of such systems.
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Qualitatively recognize the difference between Fermions and Bosons and be able to identify and derive their effects on statistics of these quantum particles. Recognize that quantum statistics are equivalent to classical results in the classical limit.
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Recognize how statistical mechanics, as a general framework, can be used to study many systems (e.g. Ideal diatomic gas, electron gas, etc.).
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Course Elements

How useful to you were the lectures?


How useful to you were the problem sets?


How useful to you was/were the Course Web Page (Announcements, Course Materials) ?


Additional Questions

To what extent did you feel you had the necessary prerequisite knowledge (prior to starting this class) to understand the course material?


To what extent did you feel like you had the necessary resources (lectures, lecture notes, office hours, textbooks) to complete the homework assignments?


What subjects do you feel we should spend more time discussing? What material do you feel we should spend less time discussing?


Based on your experience in this course, do you feel that spending some time covering simulations and sampling (e.g. Monte Carlo simulation) would be useful for your learning in this class? If so, are there any particular techniques that you would like covered in future iterations of this class?


Please let us know if you have any suggestions for this class that weren't covered above!



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