Information Package / Course Catalogue
Statistical Physics
Course Code: FİZ324
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 4
Prt.: 0
Credit: 4
Lab: 0
ECTS: 6
Objectives of the Course

The aim of this course is to investigate the macroscopic physical properties of systems consisting of many particles using their microscopic properties via statistical methods. The course covers statistical ensembles (microcanonical and canonical ensembles), partition functions, the statistical basis of entropy, statistical mechanics of ideal gases, specific heat of solids (Einstein and Debye models), paramagnetism, the equipartition theorem, and the Maxwell-Boltzmann velocity distribution.

Course Content

Starting with the principles of thermodynamics and the thermodynamics of the ideal gas, the course introduces macroscopic and microscopic states, phase space, and statistical ensembles. The fundamental postulate of statistical mechanics and the microcanonical ensemble are discussed; the ideal monatomic gas, Einstein specific heat model, and paramagnetism are studied within this ensemble. After introducing the canonical ensemble and the partition function, paramagnetism in the canonical ensemble and the Debye specific heat model are covered. The course continues with the equipartition theorem and the Maxwell-Boltzmann velocity distribution, and concludes with the calculation of the statistical mechanical properties of monatomic and diatomic ideal gases.

Name of Lecturer(s)
Prof. Cesur EKİZ
Learning Outcomes
1.Explains the fundamental concepts of statistical physics (probability, macro-micro states, phase space, statistical ensembles).
2.Establishes the relationship between thermodynamic and statistical entropy; applies the postulates of the microcanonical ensemble to ideal gas, Einstein solid model, and paramagnetism.
3.Defines the canonical ensemble and partition function; calculates thermodynamic quantities from the partition function and applies them to paramagnetism.
4.Calculates the specific heat of solids using the Einstein and Debye models and compares with experimental results.
5.Explains the equipartition theorem, derives the Maxwell-Boltzmann velocity distribution, and applies it to the kinetic theory of gases.
6.Uses statistical physics methods to calculate the thermodynamic properties of monatomic and diatomic ideal gases.
Recommended or Required Reading
1.İstatistik Mekaniğe Giriş, B. Karaoğlu, Seçkin Yayıncılık, Ankara 2012
2.İstatistik Fizik (Berkeley Fizik Serisi, cilt 5), F. Reif, Çeviri: Y. Elerman, T. N. Durlu, Bilim Yayınları, İstanbul, 1965
3.İstatistik Fizik, F. Apaydın, Hacettepe Üniversitesi Yayınları, Ankara 2004
4.Principles of Equilibrium Statistical Mechanics, D. Stauffer, Wiley-VCH, 2000
5.Statistical Physics, L. D. Landau, E. M. Lifshitz, Pergamon Press 1958
Weekly Detailed Course Contents
Week 1 - Theoretical
Statistical Approach
Week 2 - Theoretical
Macroscopic and Microscopic States
Week 3 - Theoretical
Phase Space and Statistical Ensembles
Week 4 - Theoretical
Microcanonical Ensemble
Week 5 - Theoretical
Ideal Monatomic Gas
Week 6 - Theoretical
Specific Heat of Solids
Week 7 - Theoretical
Einstein Specific Heat Model in the Microcanonical Ensemble
Week 8 - Theoretical
Paramagnetism in the Microcanonical Ensemble (Midterm)
Week 9 - Theoretical
Canonical Ensemble and Partition Function
Week 10 - Theoretical
General Properties of the Canonical Ensemble
Week 11 - Theoretical
Specific Heat of Solids, Debye Model
Week 12 - Theoretical
Applications of the Equipartition Theorem, Paramagnetism in the Canonical Ensemble
Week 13 - Theoretical
Maxwell-Boltzmann Velocity Distribution
Week 14 - Theoretical
Diatomic Gases, Equipartition Theorem
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140456
Assignment1404
Quiz1314
Midterm Examination140242
Final Examination142244
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
5
4
4
1
2
3
4
2
3
3
2
OÇ-2
4
5
4
1
2
3
4
2
4
3
3
OÇ-3
4
5
4
1
2
3
4
2
4
3
3
OÇ-4
5
4
4
1
3
3
4
2
3
3
4
OÇ-5
4
5
4
1
2
3
4
2
4
3
3
OÇ-6
4
5
4
2
2
3
4
2
4
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026