Simulation Methods in Statistical Physics
7.5 credits cr.
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The course covers simulation methods in statistical physics applied to, amongst others classical fluids and spin systems. The course provides a theoretical basis as well as practical experience with application of molecular-dynamics and Monte-Carlo simulations.
You will get hands on experience with simulation methods and a theoretical understanding in statistical physics. You will employ and expand your programing skills in developing code for molecular dynamics simulations and Monte Carlo simulations of a noble gas fluid.
This is a second cycle course given at full speed during daytime. This course can also be taken as a third cycle course.
The teaching consists of seminars and compulsary computer-based exercises.
The course is examined through written tests during the course and a final written exam, as well as through written reports on the computer-based exercises.
Phone: +468 553 787 13
ScheduleThe schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
Please contact the academic advisor for more information on the schedule.
Note that the course literature can be changed up to two months before the start of the course.
Understanding Molecular simulation, Daan Frenkel and Berend Smit, Academic Press (2002), ISBN 0-12-267351-4.
Här ligger ett skript.
Course coordinator and teacher:
Deependra Singh Jadoun, phone: +468 553 786 64, e-mail: email@example.com
Academic advisor at the Department of Physics: firstname.lastname@example.org
Student office: email@example.com