Computación Científica I
Undergraduate course, Fundación Universitaria Konrad Lorenz, 2024
Course materials can be found here.
Course description
Computación Científica I is an undergraduate course in the Mathematics program aimed at introducing scientific computing techniques for solving computationally intensive problems in science. The course focuses on the use of Python as a programming language for scientific applications and emphasizes good programming practices.
The general objective is to introduce students to basic Python programming tools as computational instruments for solving scientific computing problems.
Main topics
- Introduction to scientific computing and scientific software
- Basic Python programming: variables, data types, control flow, functions, and input/output
- Python scientific libraries: NumPy (arrays, linear algebra, statistics, random sampling, Fourier transform)
- Data visualization with Matplotlib (2D, 3D plots, contour plots, heat maps)
- Scientific computing with SciPy: numerical integration, ordinary differential equations, interpolation, optimization, and root finding
- Development of a computational project