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Statistical Physics
F
2018 . 2019  - 1º semestre
SYNOPSIS SYLLABUS TIMETABLE ASSESSMENT SPECIFICATION


Specification sheet

Specific details
course codecycle os studiesacademic semestercredits ECTSteaching language
1003200116pt


Learning goals
To help students acquire knowledge that will enable an overview as deep as possible in this area of physics.
Promote applications that motivate students and help to develop their critical capacity.
Encourage the application of knowledge to other situations.
Skills to be developed: Ability to solve problems; Competence in critical thinking; Competence in independent learning; Competence to apply in practice the theoretical knowledge; Competence in self-criticism and self-evaluation; Competence in analysis and synthesis; Competence in organization and planning; Knowledge of a foreign language; Adaptability to new situations; creativity;
Syllabus
Maxwell distribution of velocities. Maxwell-Boltzmann distribution.
Probability in Classical Statistical Mechanics and equilibrium Quantum Statistical Mechanics. Entropy and fundamental postulate of statistical mechanics. Types of probability distribution in equilibrium statistical mechanics: microcanonical distributions, canonical and grand-canonical. The canonical distribution and its
partition function. Canonical distribution and the study of thermodynamic properties of physical systems. Einstein description of solids in the context of the microcanonical and canonical distributions.
Grand-canonical ensemble and its partition function. Thermodynamic potentials for the grand-canonical partition. Distinguishable and indistinguishable particles. The Gibbs paradox. Bose-Einstein statistics and Bose-Einstein condensation. Fermi-Dirac distribution. Planck distribution. Photon gas. Blackbody radiation.
Prerequisites
General Physics, Thermodynamics, Quantum Mechanics I
Generic skills to reach
. Competence to solve problems;
. Critical thinking;
. Competence in autonomous learning;
. Competence in applying theoretical knowledge in practice;
. Self-criticism and self-evaluation;
. Competence in analysis and synthesis;
. Competence in organization and planning;
. Knowledge of a foreign language;
. Adaptability to new situations;
. Creativity;
(by decreasing order of importance)
Teaching hours per semester
lectures45
tutorial guidance15
total of teaching hours60

Assessment
Sseminar or study visit-- %
Problem solving25 %
Synthesis work thesis-- %
Project-- %
Research work-- %
Mini tests-- %
Assessment Tests75 %
Exam100 %

Bibliography of reference
1. R. Bowley, M. Sánchez, Introductory Statistical Mechanics, Clarendon Press, 1996.
2. D. Schroeder, An introduction to Thermal Physics, Addison Wesley Longman, 1999.
3. D. Amit, Y. Verbin, Introductory Course in Statistical Mechanics, World Scientific, 1999.
4. S. Salinas, Introduction to Statistical Physics, Springer, 2001.
5. R. Pathria, Statistical Mechanics,2.ª ed., Butterworth-heinemann, 1996.
6. F. Mandl, Statistical Mechanics, 2ª ed., John Wiley & Sons, 1998.
7. F. Reif, Statistical Physics, McGraw-Hill, 1965.
8. T. Fliessbach, Curso de Física Estatística, Fundação C. Gulbenkian, 2000.
Teaching method
Lectures, using audiovisual media and blackboard, during which the main concepts, principles and fundamental theories are presented and discussed. Application to simple exemples. Problem classes during which the student is supposed to solve by him/herself, with help whenever necessary, problems that apply the main concepts of statistical physics.
Resources used
print-version

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