MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
FİZ5039 Statistics Mechanics I Fall 3 0 3 12
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: Tr
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. MUHAMMED AÇIKGÖZ
Course Objectives: To give the basic information defining the physical properties of macroscopic systems composed of multitude quantum and classic particles.

Learning Outputs

The students who have succeeded in this course;
To be able to use the physical properties of macroscopic systems composed of multitude quantum and classic particles.
To be able to have information about fundamental thermodynamic laws and the statistical calculation of the parameters of macroscopic systems.
To be able to apply statistical distributions.

Course Content

In this course, the physical properties of macroscopic systems composed of quantum and classic particles will be thought.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Hamiltonian Equation. Phase space. Statistics and probability. Microcanonic ensemble. Liouville equation.
2) Quantum systems. Energy spectrum. Statistical matrix and its properties. Entropy. Entropy in unstable systems.
3) Thermal equilibrium and temperature. Quasistatic and adiabatic processes. Internal and external parameters. Pressure.
4) Conservation of work and energy in macroscopic system. Reversible processes and entropy. Deviations.
5) Thermodynamics first law. Thermodynamics potentials. Thermodynamic equalities. Joule-Tomson and Joule Processes, magnetoclaric effect.
6) Thermodynamic second law, Carnot theorem, Clausius inequality. Thermodynamic third law, Nernst theorem. Thermodynamic parameters and number of particles.
7) Microcanonic distributions. Equipartion theorem. Classical ideal gas. Gibbs paradox. Canonic Gibbs distribution.
8) Maxwell distribution. Grand canonic distribution. Applications of Grand canonic distribution.
9) Boltzmann distribution. Free energy and state equation. Ideal gas with two or three atoms.
10) Real gases, Van-der-Waals equation.
11) Fermi-Dirac and Boze-Einstein distributions. Unstable Fermi and Bose gases.
12) Ideal Fermi and Bose gases.
13) Degenerate Fermi and Bose gases. Black-body radiation.
14) Bose liquid. Super-fluidity.

Sources

Course Notes: Landau, Lifshitz - Statistical Physics, Part 1.
References: K. Huang - Statistical Mechanics Kubo - Statistical Mechanics

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments 5 % 20
Presentation % 0
Project % 0
Seminar % 0
Midterms 1 % 40
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 4 56
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 5 10 50
Quizzes 0 0 0
Preliminary Jury 0
Midterms 1 22 22
Paper Submission 0
Jury 0
Final 1 30 30
Total Workload 200

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution