Course Name Code Semester T+U Hours Credit ECTS
Statistical Physics FIZ 238 4 4 + 0 4 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Doç.Dr. SADIK BAĞCI
Course Lecturers Doç.Dr. SADIK BAĞCI,
Course Assistants Teaching Assistants of Physics Department.
Course Category Available Basic Education in the Field
Course Objective To examine physical systems in the light of principle of statistical physics
Course Content Probability, Binomial Distribution, Identical Particles, Distribution Functions, Maxwell Velocity Distribution, Ideal Gas Systems, Einstein´s and Debye´s Models
# Course Learning Outcomes Teaching Methods Assessment Methods
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,
Week Course Topics Preliminary Preparation
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
Resources
Course Notes [1] Apaydın F., İstatistik Fizik, Hacettepe Üniversitesi Yayınları, 2004<br>[2] Trevena D.H., Statistical Mechanics, Woodhead Publishing, 2002<br>[3] Sears F.W., Salinger G.L., Çeviren:Nuri Ünal, Termodinamik Kinetik Kuram ve İstatistik Termodinamik, Literatür, 2002
Course Resources
Order Program Outcomes Level of Contribution
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
Evaluation System
Semester Studies Contribution Rate
1. Ödev 20
1. Ara Sınav 50
1. Kısa Sınav 15
2. Kısa Sınav 15
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
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
Total Workload 151
Total Workload / 25 (Hours) 6.04
dersAKTSKredisi 6