Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
- FIZ 536 Turkish Compulsory 3 + 0 3.0 8.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Lecturing
Course Coordinator Doç. Dr. Songül TARAN
Instructor(s)
Goals Understanding calculation methods in molecular modelling and the basic concepts of theoretical applications
Course Content Basic concepts in molecular modeling, Semi-experimental methods, Potential energy functions, Geometry optimization, Optimization algorithms, Monte Carlo simulation methods, Microcanonical ensemble Monte Carlo methods, Canonical ensemble Monte Carlo simulation methods, Isothermal and isobaric Monte Carlo simulation methods, Molecular dynamics simulation methods, Microcanonical molecular dynamics simulations, Canonical molecular dynamics simulations,Isothermal and isobaric molecular dynamics simulation methods
Learning Outcomes
# Öğrenme Kazanımı
1 Students will be able to have kowledge about the calculation of physical quantities by using the techniques commonly used in molecular modeling.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Basic concepts in molecular modeling Interview
2. Week Semi-experimental methods Interview
3. Week Potential energy functions Interview
4. Week Geometry optimization Interview
5. Week Optimization algorithms Interview
6. Week Monte Carlo simulation methods Interview
7. Week Microcanonical ensemble Monte Carlo methods Interview
8. Week Canonical ensemble Monte Carlo simulation methods Interview
9. Week Canonical ensemble Monte Carlo simulation methods Interview
10. Week Isothermal and isobaric Monte Carlo simulation methods Interview
11. Week Molecular dynamics simulation methods Interview
12. Week Microcanonical molecular dynamics simulations Interview
13. Week Canonical molecular dynamics simulations Interview
14. Week Isothermal and isobaric molecular dynamics simulation methods Interview
*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 Improving the basic of theoretical and experimental applications of Classical, Modern and Quantum Physics knowledge obtained through undergraduate education to advanced level.
2 Interpreting the encountered physical problems of advanced level according to physical principles and improving the ability of solving such problems.
3 Obtaining the ability of setting connection between theory and applications about physics.
4 Following and interpreting physics literature and obtaining the ability of preparing advanced pulications using these acqusitions.
5 Gaining the ability of presenting in front of a community with the help of the acqusition through the courses taken during graduate education.
6 Using the background and approaches of different principles at a level of producing new theorems.
7 Obtaining the ability of gathering information, making comparisons, analizing and generating solution to the problems of experimental or theoretical physics.
8 Gaining the ability of following and using the physics literature which progresses daily through contacting with colleagues working on similar subjects at the attended activities such as workshop, seminar and conference.
9 Setting a theoretical model, solving the problems related to that model, approaching experimentally to the model, making the analysis of the experimentally obtained data and interpreting it through the advanced level knowledge obtained through graduate education.
10 Ensuring the constitution of all information that will be used along with the academical life at advanced level and reaching to the level that advanced level researches about physics can be conducted by defining the relationship between the obtained knowledge.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1
PY1 5
PY2 4
PY3 5
PY4 5
PY5 4
PY6 4
PY7 4
PY8 4
PY9 5
PY10 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • • R. Leach, Molecular Modelling: Principles and Applications
  • D.Frankel and B.Smit, Understanding Molecular Simulation
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Preparation, After Class Study 14 3 42
Research 14 3 42
Interview 14 1 14
Presentation (Preparation) 14 1 14
Sınavlar
Midterm 1 1 2 2
Homework 1 1 4 4
Final 1 2 2
Classroom Activities 14 3 42
Total Workload 204
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 8.0