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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
FIZ 342INTRODUCTION TO STATISTICAL PHYSICS4 + 05th Semester6

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective The aim is to teach how to deduce the thermodynamic properties of a macroscopic system from its microscopic structure.
Course Content Macroscopic View, Heat and Entropy, Usage of Thermodynamics, Statistical Approach, Maxwell-Boltzmann Distribution
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Thermodynamic concepts are learnt.
2Statistical concepts are learnt.
3Maxwell-Boltzmann distribution is learnt.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
LO 001          
LO 002          
LO 003          
Sub Total          
Contribution0000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14456
Hours for off-the-classroom study (Pre-study, practice)14456
Assignments4728
Mid-terms188
Final examination188
Total Work Load

ECTS Credit of the Course






156

6
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall1KORAY YILMAZ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
FIZ 342 INTRODUCTION TO STATISTICAL PHYSICS 4 + 0 1 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. KORAY YILMAZ kyilmaz@pau.edu.tr FEN B0116 FEN B0211 %70
Goals The aim is to teach how to deduce the thermodynamic properties of a macroscopic system from its microscopic structure.
Content Macroscopic View, Heat and Entropy, Usage of Thermodynamics, Statistical Approach, Maxwell-Boltzmann Distribution
Topics
WeeksTopics
1 Chapter 1 - Fundamental Concepts in the Statistical Physics:Laws of Thermodynamics, Reasons for statistical approach, Macroscopic and Microscopic States, Statistical weight in a macroscopic state.
2 Termodynamical equilibrium of an isolated system, Statistical ensembles, Ergodic Principle, Liouville’s Theorem.
3 Chapter 2- Classical statistical mechanics: Microcanonical ensemble, Gibbss paradox, micro-canonical ensemble in the ideal gases and harmonic oscillators.
4 Einstein model in the microcanonical ensemble. Chapter 3-Canonical Ensemble: Partition function, Canonical ensemble in the ideal gases and harmonic oscillators.
5 Einstein and Debye models in the canonical ensemble, Statistics of paramagnetism.
6 Chapter 4- Statistical Mechanics of Gases: Monotomic ideal gases, Diatomic ideal gases.
7 Equipartition Theorem, Real gases, Maxwell-Boltzmann velocity distribution.
8 Chapter 5- Grand Canonical Ensemble: Application: Ideal mono-atomic gases.
9 Midterm
10 Chapter 6- Quantum Statistical Mechanics: Quantum regime, Quantum symmetry conditions, Quantum-mechanical ensemble theory: the density matrix.
11 Quantum statistics for microcanonical, canonical and grand canonical ensembles, The density matrix and the partition function of a system of free particles.
12 Example: An electron in a magnetic field, A free particle in a box, a linear harmonic oscillator. Statistics of occupation number.
13 Chapter 7- İdeal Fermi System: Thermodinamic behavior of an ideal Fermi gas, The electron gas in metals, Statistical equilibrium of white dwarf stars.
14 Chapter 8- İdeal Bose Systems: Thermodynamic behavior of an ideal Bose gas, Photon gazı-the black-body radiation, Bose-Einstein condensation.
Materials
Materials are not specified.
Resources
ResourcesResources Language
F. Mandl, Statistical Physics, John Wiley&Sons,1994English
R.K. Pathria, Statistical Physics, Butterworth,Oxford, 1996English
Kerson Huang, Statistical Mechanics, John Wiley&Sons, New York, 1963English
Fevzi Apaydın, İstatistik Fizik, Hacettepe Universitesi, Ankara,1988Türkçe
Bekir Karaoğlu, İstatistik Mekaniğe Giriş, Seyir Yayıncılık, İstanbul, 2003Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes