Course Information

Semester	Course Unit Code	Course Unit Title	L+P	Credit	Number of ECTS Credits
6	PHYS326	STATISTICAL THERMODYNAMICS	4+0	4	5

Course Details

Language of Instruction	English
Level of Course Unit	First Cycle
Department / Program	PHYSICS
Mode of Delivery	Face to Face
Type of Course Unit	Compulsory
Objectives of the Course	Statistical principles and their applications to the thermodynamics of physical systems. In this way to be able to analayse the tempererature dependency of the behavıour of the physical systems.
Course Content	The laws of thermodynamics; basics of probability theory; kinetic theory; classical microcanonical, canonical and macrocanonical ensebles; classical ideal gas; equipartition of energy; quantum mechanical ensebles; ideal Fermi and Bose systems; black body radiation; phonons and electron gas.
Course Methods and Techniques
Prerequisites and co-requisities	None
Course Coordinator	None
Name of Lecturers	Associate Prof.Dr. ÖZGÜR ÇAKIR
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources	F. Reif, Fundamentals of Stattistical and Thermal Physics ,McGraw-Hill,New York, 1965 F. Mandl, Statistical Physics , Wiley, 2nd Edition, New York, 1988

Course Category

Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Weekly Course Time	14	4	56
Outside Activities About Course (Attendance, Presentation, Midterm exam,Final exam, Quiz etc.)	14	6	84
Exams and Exam Preparations	2	5	10
Total Work Load			Number of ECTS Credits 5 150

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	To be able to explain the statistical principles of thermodynamics.
2	To be able to interpret the status of physical systems using the probability distributions.
3	To be able to analyse the results of statistical mechanics and carry out applications.
4	To be able to describe the quantum statistics and estimate the behvaiour of particles in quantum systems.

Weekly Detailed Course Contents

Week	Topics	Materials
1	Introduction to statistical methods, random walk and binomial distibution	The course textbook
2	Statistical description of systems of particles and probablility calculations	The course textbook
3	Statistical thermodynamics, equilibrium conditions and constraints. Heat reservoirs	The course textbook
4	Macroscopic parameters: work, heat, temperature, entropy with applications	The course textbook
5	Canonical, grand cananonical and other ensembles	The course textbook
6	Partition function, thermodynamic parameters, equipatition theorem	The course textbook
7	Equilibrium between phases or chemical species, general equilibrium conditions	The course textbook
8	Quantum statistics, Maxwell-Boltzmann, Bose-Einstein, and Fermi-Dirac statistics.	The course textbook
9	Systems of interatcting particles, solids and nonideal classical gas.	The course textbook
10	Magnetism, magnetic work, magnetic cooling,and superconductivity	The course textbook
11	Kinetic theory of transport processes, collisions, viscosity, thermal and electrical conductivity.	The course textbook
12	Relaxation time approximation in the transport theory	The course textbook
13	Formulation of transport theory, Boltzmann condition, conservation of equations and hydrodynamics	The course textbook
14	Irreversible processes and fluctuations. Transition probabilities, Brownian motion.	The course textbook
15	Final 1st week
16	Final 2nd week

Contribution of Learning Outcomes to Programme Outcomes

Contribution: 0: Null 1:Slight 2:Moderate 3:Significant 4:Very Significant

https://obs.iyte.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=261877&lang=en