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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