(3 credits)
Introduction to quantum statistical mechanics and its application to systems of varying complexity from the simple ideal gas to the degenerate gas. Quantum fluids, phase transitions and simulation methods will also be introduced. Prerequisite: PHYS 157. [0-0-0;3-0-0]
Lectures: Chem 126 - MWF 10:30
Tutorials: To Be Arranged on Demand...
Instructor: Jess H. Brewer
Office: Hennings 320A, tel 822-6455
Lab: (TRIUMF) 222-1047
Office Hours: Thursday 08:30-10:30 or any time you can find me,
either in my office or in Henn 222 (knock loudly; I may be at the
other end of the room)
Marker: Benoit Leduc
Marker's Office Hours: To Be Announced
Marking: (Tentative!)
Assignments | 30 |
Midterm* | 20 |
Final Exam | 50 |
TOTAL | 100 |
Note: the Final Exam will cover the entire course.
Textbook: Charles Kittel
& Herbert Kr�mer (K&K),
Thermal Physics,
2nd Ed. (Freeman, 1980).
The text has a good set of references (see pp. xv-xvii) for Statistical and Thermal Physics and applications thereof. The following supplementary list covers a few related topics.
You may sometimes wish to explore interesting topics further; I will be glad to suggest sources.
ASSIGNMENTS will be posted on the P455 WebCT site and/or handed out on paper at the Wednesday lecture each week. Each problem set (except the first, which can be handed in anytime before the last class) is to be handed in by the beginning of the lecture one week later; solutions will be provided at that time, so the deadline will be strictly enforced with the following exception: Each student may turn in one assignment after the deadline with only a modest penalty; once this quota is used, the remaining assignments must be submitted on time to be marked.
Where feasible, the solutions will be posted on the Web site. We are still experimenting with electronic submission, so for the time being only the first assignment must be submitted electronically (just to ensure that everyone is "wired in"); others can be written out on paper and handed in manually the old-fashioned way - OR you can try processing them into LATEX or Postscript files which can be transmitted by E-mail as plain text files. I expect this to be more trouble for you than it's worth, but it does have the advantage of "remote submission" in case you are unable to meet the deadline in person.
The good news: I will count only the best 8 assignment marks, out of 10-12 total. (I plan 12, but something may go wrong.)
MIDTERM:
As mentioned earlier, you have a choice of whether to take the Midterm or to do a Term Project instead. Although Term projects are more interesting and potentially more rewarding, I have to advise that they almost always have a lower specific yield: the time and effort spent on a Term Project would almost certainly bring a higher mark if spent on studying for the Midterm instead! Also the exam-taking practice is better preparation for the Final, which counts for half your mark. So don't do a Term Project for the mark; but if you are inspired to try something original and have been looking for an excuse, this is your chance. It must, of course, be clearly related to Statistical Mechanics - although the relationship might be "unconventional."
THE FINAL EXAM will cover the same material as the Midterm plus the material treated in the last half (third) of the course.
EXCUSES: The University has defined criteria for absence from exams or failure to complete all the work for a course. I will observe those criteria and no others, so please familiarize yourself with them in advance, even if you do not plan to be sick or have other problems; if misfortune strikes, your burden will be partly relieved by a knowledge of your privileges and responsibilities.
My policy with respect to missed Midterms is as follows: If you can document a valid excuse, you have three choices:
Perhaps the most difficult part of my job is finding a balance between standards and fairness. No two people have the same set of abilities, and yet, as we mature, we all learn how to make the best of our own unique combinations of strengths and weaknesses; the amazing thing is that "the best" is remarkably uniform among a selected group of high achievers like yourselves. In athletics it is much the same: at any given level of competition, the times in the 100 m dash (for example) are all within a few percent of each other. This makes it possible to set well defined standards without being entirely arbitrary, even though one can never achieve perfect fairness.
To extend the sport metaphor, I like to think of myself as a coach rather than a therapist or a lawyer: beyond the primary task of teaching the subject, it is my job to help you discover what you are capable of achieving and to offer you honest and accurate evaluations of your performance, not to soothe your self-esteem or to eliminate all injustices.