Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
- FIZ 625 Turkish Compulsory 3 + 0 0.0 8.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Lecturing
Course Coordinator Prof. Dr. Kadir GÖKŞEN
Instructor(s)
Goals Differentiation as numerical, to teach the methods of integration and root finding as practical, to teach the methods of numerical solution of differential equations and numerical solutions of boundary-value and eigenvalue problems
Course Content Various order numerical derivatives and sample computer programs,Numerical integration methods: Trapezoid, Simpson and Bode methods,Roots of polynomials: split-half the range, Newton-Raphson and Secant methods,Computer programs and solutions of sample problems,Methods for the implementation of physical systems: semi-classical quantization of molecular vibrations,Numerical solution of ordinary differential equations: Euler's and the generalized Euler's methods,Adams-Basforth, Adams-Multon methods, Runge-Kutta methods and applications, Numerical solutions of boundary-value problems,Numerical solution of quantum mechanical systems: Numerow method,Numerow method for the solution of the Schrödinger equation,Numerical calculation of the energy levels of some molecules. Examples of numerical solution of eigenvalue problems,Numerical calculation of special functions,Gausian integrals,Examples based on programming for the use of numerical methods.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Various order numerical derivatives and sample computer programs.
2. Week Numerical integration methods: Trapezoid, Simpson and Bode methods.
3. Week Roots of polynomials: split-half the range, Newton-Raphson and Secant methods.
4. Week Computer programs and solutions of sample problems.
5. Week Methods for the implementation of physical systems: semi-classical quantization of molecular vibrations.
6. Week Numerical solution of ordinary differential equations: Euler's and the generalized Euler's methods.
7. Week Adams-Basforth, Adams-Multon methods, Runge-Kutta methods and applications, Numerical solutions of boundary-value problems.
8. Week MIDTERM EXAM
9. Week Numerical solution of quantum mechanical systems: Numerow method.
10. Week Numerow method for the solution of the Schrödinger equation.
11. Week Numerical calculation of the energy levels of some molecules.
12. Week Examples of numerical solution of eigenvalue problems.
13. Week Numerical calculation of special functions.
14. Week Gausian integrals.
*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.
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • • S. Koonin, Computational Physics: Fortran Version, Westview Press, 1998 • D. W. Heermann, Computer Simulation Methods in Theoretical Physics, 2nd Edition, Springer-Verlag, 1990.