1. Eğitim Bilgi Sistemi
  2. Fizik Bölümü
  3. Statıstıcal Physıcs (2020 - 2021)
Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Statıstıcal Physıcs FIZ 238 4 4 + 0 4 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü Zorunlu
Dersin Koordinatörü Doç.Dr. ALİ SERDAR ARIKAN
Dersi Verenler Prof.Dr. SADIK BAĞCI,
Dersin Yardımcıları Teaching Assistants of Physics Department.
Dersin Kategorisi Alanına Uygun Temel Öğretim
Dersin Amacı To examine physical systems in the light of principle of statistical physics
Dersin İçeriği Probability, Binomial Distribution, Identical Particles, Distribution Functions, Maxwell Velocity Distribution, Ideal Gas Systems, Einstein´s and Debye´s Models
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Expresses binomial distribution and examines different systems in terms of the property of binomial distribution. Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Testing, Homework,
2 Explains Maxwell-Boltzmann, Bose-Einstein and Fermi-Dirac statistics. Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Testing, Homework,
3 Writes a partition function for a given system. Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Testing, Homework,
4 Defines thermodynamic potentials. Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Testing, Homework,
5 Introduce the kinetic theory of ideal gases and expresses Maxwell velocity distribution. Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Testing, Homework,
6 Explains heat capacity of solids by considering Einstein and Debye´s model. Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Testing, Homework,
Hafta Ders Konuları Ön Hazırlık
1 Probability and Basic Concepts [1] pp 1-12
2 Binomial distribution, Mean Value, Standart Deviation [1] pp 12-23
3 Gaussian Distribution, Poisson Distribution, Random Walk Problem [1] pp 23-36
4 Distinguishable Particles, Macrostates, Microstates, Entropy [2] pp 5-16
5 Lagrange Undetermined Multiplier Method, Maxwell-Boltzmann Distribution Function, Partition Function [3] pp 342-344; 357-360; 449-452
6 Distinguishable Particles, Bose-Einstein Statistics, Pauli Exclusion Principle, Fermi-Dirac Statistics [3] pp 333-341
7 Bose-Einstein and Fermi-Dirac Distribution Function [3] pp 349-357
8 Number of Accessible States [1] pp 37-58
9 Midterm Exam
10 Canonical Distributon, Partition Function in Classical Statistical Physics [1] 176-205
11 Thermodynamic Potentials, Monoatomic Ideal Gas System [3] 190-198; 374-378
12 The Kinetic Theory of an Ideal Gases, Maxwell Velocity Distribution [1] 369-390
13 Partition Function of an Ideal Gas Systems and Thermodynamic Properties [1] 230-268
14 The Heat Capacity of Solids, Debye´s Theory of Heat Capacities, Einstein´s Theory of Heat Capacities [3] 412-441
Kaynaklar
Ders Notu [1] Apaydın F., İstatistik Fizik, Hacettepe Üniversitesi Yayınları, 2004
[2] Trevena D.H., Statistical Mechanics, Woodhead Publishing, 2002
[3] Sears F.W., Salinger G.L., Çeviren:Nuri Ünal, Termodinamik Kinetik Kuram ve İstatistik Termodinamik, Literatür, 2002
Ders Kaynakları
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 Having enough background in engineering topics related to mathematics, science and their fields. Skill of using theoretical and applied knowledge with engineering solutions in the field, X
2 Identifing, determining, formulating and solving engineering problems. With this purpose choosing and applying analytical methods and modelling techniques, X
3 To analyze a system, a part of a system or a process itself and the skill of design under the given constrains in order to fulfill the specifications. In that direction, the skill of applying modern design techniques X
4 Skill of choosing and applying the modern techniques and vehicles needed by the engineering applications. Skill of using the information technology effectively. X
5 Skill of designing and performing an experiment, data acquisition, analyzing and interpreting results, X
6 Ability of accessing information and doing research. Skill of using databases and other information sources.
7 Effective working ability both as an individual and as a part of a multi-disciplinary team, self-esteem on taking responsibility,
8 Ability to make oral or written communication in Turkish. At least one foreign language knowledge, X
9 Consciousness of the necessity of the life time learning, following the developments in science and technology and ability of ones’ continous self renewal. X
10 Consciousness of occupational and ethical responsability,
11 Consciousness on the subjects of project management, field applications, employees health, environment and work safety; awareness on legal consequences of engineering applications, X
# Ders Öğrenme Çıktılarının Program Çıktılarına Katkısı PÇ 1 PÇ 2 PÇ 3 PÇ 4 PÇ 5 PÇ 6 PÇ 7 PÇ 8 PÇ 9 PÇ 10 PÇ 11
1 Expresses binomial distribution and examines different systems in terms of the property of binomial distribution.
2 Explains Maxwell-Boltzmann, Bose-Einstein and Fermi-Dirac statistics.
3 Writes a partition function for a given system.
4 Defines thermodynamic potentials.
5 Introduce the kinetic theory of ideal gases and expresses Maxwell velocity distribution.
6 Explains heat capacity of solids by considering Einstein and Debye´s model.
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ödev 20
2. Ödev 30
3. Ödev 40
Toplam 90
1. Yıl İçinin Başarıya 50
1. Final 50
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Quiz 2 10 20
Assignment 1 10 10
Final examination 1 15 15
Toplam İş Yükü 151
Toplam İş Yükü / 25 (Saat) 6,04
dersAKTSKredisi 6