Computational Physics: Course Outline
- Scientific Computing Languages.
- Introduction to FORTRAN or C+ and programming techniques in practical applications to basic Physics problems.
- Numerical methods: Euler-Newton method for solving differential equations.
- The trapezoidal rule for numerical quadrature and simple applications of random number.
- Solution of integral equations.
- Solution of nonlinear equations.
- Linear algebra.
- Solution of linear algebraic equations.
- Ordinary differential equations.
- Computer Graphics.
- Use of computation and computer graphics to simulate the behavior of complex physical systems.
- Computational techniques in investigating and visualizing fundamental physics.
- Scientific Packages.
- Introduction to MATHEMATICA and MATLAB and their use in Physics.
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