Course Information
SemesterCourse Unit CodeCourse Unit TitleL+PCreditNumber of ECTS Credits

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
In-Term Studies Quantity Percentage
Midterm exams 2 % 25
Quizzes 0 % 0
Homeworks 2 % 25
Other activities 0 % 0
Laboratory works 0 % 0
Projects 0 % 0
Final examination 1 % 50
% 100

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:
NoLearning 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
WeekTopicsStudy MaterialsMaterials
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
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 4 3 4 4
C2 4 3 4 4
C3 4 3 4 4
C4 4 3 4 4

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