Advanced Statistical Mechanics I (PH715, Spring, 2018)
Course Description:
Through this course students will learn advanced topics in statistical mechanics including computer simulation methods.
Learning Objectives:
 Classical Mixed States: Phase Density and Liouville Equation
 Quantum Mixed States: Density Operator and Liuovillevon Neumann Equation
 Entropy and Information
 Ensemble Theory of Thermal Equilibrium
 Critical Phenomena, Landau Theory, Renomalization Group
 Linear Response Theory, Fluctuation Dissipation Theorem, Onsager Relation
 Stochastic Dynamics, Langevin Equation, FokkerPlank Equation
 Monte Carlo Simulation, Metropolis Algorithm
 Fluctuation Theorem, Jerzyinski Equality
 Information and Maxwell Demon
 The Origin of Statistical Physics: Quantum Typicality
Day and Time: 
Tue. & Thu. 12:30PM1:45PM 
Room: 
PH 394 (Del Square) 
Instructor: 
Dr. Ryoichi Kawai 
email: 
kawai@uab.edu 
phone: 
(205) 9343931 
skype^{*}: 
userid = ryoichikawai
* You must send your skype user ID to
the instructor by email in advance or your call will be blocked. 
Office Hour: 
by appointment

Course Website: 
http://kawai.phy.uab.edu/courses/2018Spring/ph423 
Course Schedule
Latex
Matlab

Required Textbook 

Equilibrium and NonEquilibrium Statistical Thermodynamics
by Le Bellac, Mortessagne, and Batrouni
Cambridge, 2004


Messages from the Instructor
 [12/27] The course web site opened.
MATLAB
MATLAB is used in lectures. The use of MATLAB is not required but recommended. UAB has a site license and students are elligible to install MATLAB on their computer.
Installation instruction is given at
https://docs.uabgrid.uab.edu/wiki/Matlab_site_license
Python
Python is another popular computer language. Although we use MATLAB execlusively in lectures, Phython source codes are provided. It is not required to use Python. However, if you wish to learn Python, Anadonda package is recommended for Microsoft Windows and Mac. The instructor uses Python 3.x (Not Python 2.x). Download Anaconda at
https://www.continuum.io/downloads. If you use Linux and don't know how to install Python and related tools, consult the instructor.
Homework
Homework must be turned in electronically by email. Allowed formats are PDF and Latex. Photograph taken by cell phone is not acceptable.

Project
There is no final exam. Instead each student must submit a term paper based on a project which investigates an interesting equilibrium or nonequilibrium phoenomen either using mathematical theory or computer simulation. The instructor provides severl possible projects. Students can pick one from the given list or propose their own project. The term paper must be submitted before 5 pm, April 25th, 2018.
Attendance
Attendance is required. To pass the course you must attend at least 75% of lectures. Excessive absence will result in administrative withdraw.
Grading
Two midterm exams (20 pts. each), homework (20 pts.) and a project report (40 pts.) The total maximum possible points is 100 pts. All students must complete two exams, one project, 75% of homework and more than 75% of attendance or receive F regardless of the total scores.
Letter grades are determined by the rule given in the table. 
Grade 
Total Score 
A 
90 or above 
B 
80 or above 
C 
70 or above 
F 
Otherwise 

