# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL PHYSICS/FİZ208A
 Course Title: STATISTICAL PHYSICS Credits 3 ECTS 6 Semester 4 Compulsory/Elective Compulsory
COURSE INFO
-- LANGUAGE OF INSTRUCTION
Turkish
-- NAME OF LECTURER(S)
Assoc. Prof. Şebnem KANDİL İNGEÇ
-- WEB SITE(S) OF LECTURER(S)
http://websitem.gazi.edu.tr/site/singec
-- EMAIL(S) OF LECTURER(S)
singec@gazi.edu.tr
-- LEARNING OUTCOMES OF THE COURSE UNIT
Explain correlation between the Statistical Phycis, Thermodynnamics and Kinetic theory. Explain macro and micro systems .
Describes basic concept in the Statistical Physic. Applys probability calculations.
Explain how to be gained statistical structre to systems Explains statistical methods and application of the methods.
Explains reversible and irreversible processes. Explains reversible and irreversible processes in nature.
Analysis and interprets Bose-Einstein, Fermi-Dirac and Maxwell-Boltzmann statistics.
Describes the Entropy and calculate in the system.
Formulizes distribution functions
Solves the problem about Statistical Physic.
Explains some of physical events about Quantum and Solid State using Statistical Physics.
Analysis the relationship of physics with mathematics.
-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
-- PREREQUISITES AND CO-REQUISITES
There is no prerequisite or co-requisite for this course.
-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
There is no recommended optional programme component for this course.
 --COURSE CONTENT 1. Week Statistical Phycis, Thermodynnamics and Kinetic theory; system, probability, probability calculations. 2. Week Binomial distribution, calculation of mean values. 3. Week The simple random walk problem in one dimension. Problem Solving 4. Week Macroscopic and Microscopic states, Basic postulates, specification of the state of a system. 5. Week Basic interaction in Macroscopic systems. 6. Week Reversible and irreversible processes, Problem Solving. 7. Week Entropy and Temperature, Properties of the entropy. 8. Week Mid-terms 9. Week Absolute temperature, Heat capacity and specific heat in Macroscopic systems. 10. Week Thermodynamics laws and basic statistical relations, Calculation of thermodynamic quantities. 11. Week Fermi-Dirac, bose-Einstein, Fonon, Foton, Maxwell-Boltzman distribution functions. 12. Week Validity of the classical approximation, Problem Solving. 13. Week Calculation of mean values in a canonical and Grand canonical ensemble. 14. Week Sharing function, Problem Solving 15. Week 16. Week