1. S5.40

2. Module Structure 30% practical tests / 70% written exam 3h lectures / week (except reading week) 3 x 2h of computer labs (solving problems practicing for the class tests) 2 x 1h long tests 15% each (7 th and 10 th weeks) – One for basics of python – Another for numerical methods and their implementations

4. Free Easy to learn/use Growing popularity Physics, Engineering, Finance … App development Web development

5. Module objectives Get basic programming skills Learn ideas behind numerical methods Study not only classical algorithms but also existing packages

6. Introduction to Python

7. Solution of a single non-linear equation

8. Solving Linear Systems of Algebraic equations

9. Approximation of Functions by Polynomials

10. Numerical Integration

11. Numerical solution of ordinary differential equations

12. Stochastic differential equations

13. Lectures Theory – description of the methods, convergence, precision Live coding – implementation of the numerical method in Python