Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Statistical Physics FIZ304 Turkish Compulsory 6. Semester 4 + 2 5.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Prof. Dr. Kadir GÖKŞEN
Instructor(s)
Goals Teaching the investigation of microscopic and macroscopic states through statistical physics approach
Course Content Probability applications in statistical physics, Dispersion and oscillations in equilibrium state, Binomial expansion and average values, Designation of accessible states, Simple interactions in macroscopic systems, Entropy and temperature in statistical physics, Distribution function in statistical physics, Average values in canonical and grand canonical sets, Statistical properties of fermion systems, Statistical properties of boson systems, Photon gas and blackbody radiation, Kinetic theory of ideal gases
Learning Outcomes
# Öğrenme Kazanımı
0 Obtaining probability data for various systems.
0 Investigating the reasons of macro-scale states in matter’s micro structure.
0 Applying data regarding mathematics, physics and chemistry statistically.
0 Explaining and analyzing the natural events statistically.
0 Defining, formalizing and solving problems statistically
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Probability applications in statistical physics
2. Week Dispersion and oscillations in equilibrium state
3. Week Binomial expansion and average values
4. Week Designation of accessible states
5. Week Simple interactions in macroscopic systems
6. Week Entropy and temperature in statistical physics
7. Week Distribution function in statistical physics
8. Week MIDTERM EXAM
9. Week Average values in canonical and grand canonical sets
10. Week Average values in canonical and grand canonical sets
11. Week Statistical properties of fermion systems
12. Week Statistical properties of boson systems
13. Week Photon gas and blackbody radiation
14. Week Kinetic theory of ideal gases
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Retaining and administering the fundamentals of theoretical and experimental applications of Classical and Modern Physics.
2 Interpreting the encountered problems in accordance with the principles of physics and attaining the ability of problem solving.
3 Gaining the ability of establishing the connection between the theories and applications of physics.
4 Gaining the ability of following and interpreting physics literature.
5 Gaining the ability of analytical thinking by looking at the cases from physical perspective.
6 Utilizing the knowledge of other disciplines and using their approaches in physics.
7 Retaining the ability of gathering, comparing and analyzing physical data, and producing and presenting solution for it.
8 Attaining basics of following up to date physics literature and utilizing it through communicating with colleagues.
9 Setting theoretical model, solving problems related with the model, approaching the model experimentally and interpreting the obtained experimental data by analyzing.
10 Understanding the importance of life-long learning in physics which is open for new advances and staying in connection with life-long learning.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 5 5 5 5 5
PY2 5 5 5 5 5
PY3 4 4 4 4 4
PY4 3 3 3 3 3
PY5 5 5 5 5 5
PY6 5 5 5 5 5
PY7 4 4 4 4 4
PY8 3 3 3 3 3
PY9 3 3 3 3 3
PY10 3 3 3 3 3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Apaydin, F, “Statistical Physics”, Ankara: Hacettepe University Publications. (2004).
  • Karaoğlu, B. Introduction to Statistical Mechanics. İstanbul: Seyir Publication (2003).
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 6 84
Ders Dışı
Preparation, After Class Study 14 1 14
Research 14 1 14
Other Activities 14 1 14
Sınavlar
Midterm 1 1 2 2
Homework 1 2 1 2
Homework 2 2 1 2
Final 1 2 2
Total Workload 134
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0