Computación Científica II
Undergraduate course, Fundación Universitaria Konrad Lorenz, 2025
Course materials can be found here.
Course description
Computación Científica II is an undergraduate course focused on high-performance scientific computing. The course addresses parallel programming models, computational architectures, and software tools for solving data-intensive and computationally complex scientific problems.
The objective of the course is to recognize and apply parallel programming models, free software tools, and computational architectures to efficiently solve scientific problems.
Main topics
- Performance analysis and optimization of computational code
- Parallel computing models and architectures
- Parallel programming strategies using Python and C++
- Validation, verification, and optimization of computational models
- Development and presentation of a final computational project