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Page Contents:
Urgent updates will be posted
here during the term.
Contact Information
Professor
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410-516-7204 |
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Bloomberg 317 |
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Office Hours: TBA |
Class:
9-10:30 AM Thursday and Friday in Bloomberg 168.
Course Description:
This course is aimed at graduate students
who have had an undergraduate course in thermodynamics, but will begin with a
brief review of thermodynamics and statistical mechanics. Then hydrodynamic theory and other
transport equations are derived from statistical mechanics. Next
classical and quantum ideal gases are studied and approximate schemes for
incorporating interactions are developed. The semester concludes with a
mean-field treatment of phase transitions and scaling theory.
Prerequisite: 171.303-304 and 171.312 or permission of
the instructor.
Textbooks:
Required: Statistical Mechanics, 2nd
edition by Kerson Huang
Recommended: Statistical Physics
Part 1 by Landau and Lifshitz.
Statistical
Mechanics by Pathria.
Grading:
The grading will be based entirely on homework.
Homework:
Solving problems is not only the best way to learn physics, it is the only way.
For this reason, the problem sets are probably the most important part of the
course. You may work together on the problem sets; however the final writeup should be your own. To get the greatest benefit
from the problems sets you should attempt to think through every problem
yourself before discussing it with others. Problem sets are due on the Friday
the week after they were assigned. Late homework will be given reduced credit.
No credit will be given for homework more than one week late without prior
approval for a compelling reason.
Syllabus: The syllabus will be updated as the course
progresses.
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Week of |
Subject Matter |
Reading |
Homework |
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Sep. 4 |
The laws of thermodynamics |
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Sep. 11 |
Some applications of thermodynamics |
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Sep. 18 |
Kinetic Theory |
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Sep. 25 |
Equilibrium of Dilute Gas |
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Oct. 2 |
Transport Phenomena |
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Oct. 9 |
" " |
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Oct. 16 |
Classical Statistical Mechanics |
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Oct. 23 |
Canonical and Grand Canonical Ensemble |
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Oct. 30 |
Quantum Statistical Mechanics |
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Nov. 6 |
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Chap. 12, 14 |
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Nov. 13 |
Ising Model and Mean-Field Theory |
Ch 14, 17 |
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Nov. 20 |
Thanksgiving Vacation |
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Nov. 27 |
Landau Theory and Scaling |
Ch 17,16 |
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Dec. 4 |
Monte Carlo Methods |
Handout |
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The strength of the university depends on
academic and personal integrity. In this course, you must be honest and
truthful. Ethical violations include cheating on exams, plagiarism, reuse of
assignments, improper use of the Internet and electronic devices, unauthorized
collaboration, alteration of graded assignments, forgery and falsification,
lying, facilitating academic dishonesty, and unfair competition. As noted above, collaboration on homework
sets is encouraged. However, you should
attempt problems independently before collaborating and must write up your
homework independently.
Report any violations you witness to the
instructor. You may consult the associate dean of students and/or the chairman
of the Ethics Board beforehand. See the guide on "Academic Ethics for
Undergraduates" and the Ethics Board web site (http://ethics.jhu.edu ) or http://www.advising.jhu.edu/ethics.html
for more information.
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