| 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 | Doç.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 | |||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ödev | 20 |
| 1. Ara Sınav | 50 |
| 1. Kısa Sınav | 15 |
| 2. Kısa Sınav | 15 |
| Toplam | 100 |
| 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 | ||
| Dersin AKTS Kredisi | 6 | ||