Mathematical and Computational Engineering addresses complex problems through the use of advanced methods of applied mathematics and computational capabilities.
With Mathematical and Computational Engineering it is possible to establish bridges between different disciplines , and create more robust methods for solutions to complex problems, in connection with society and industry .
Some challenges in the area:
Development of more efficient methods for data management and analysis.
Design of statistical learning tools for solutions with automatic methods.
Development of robust mathematical modeling and computational simulation methods to solve demanding and large-scale problems.
Design of cutting-edge optimization and control techniques that help make effective decisions in complex scenarios.