| 05-07-2023 |
Optimization and Machine Learning in complex problems under uncertainty
This opportunity aims to explore different topics and methodologies in the area of Optimization in complex problems, especially when there is uncertainty in data or model parameters. This is a natural concern in almost all real optimization applications and has become increasingly relevant in recent years. In addition, the methods that come from the areas of Machine Learning and Artificial Intelligence provide great opportunities to complement traditional methods. The research will explore problems in complex areas such as natural resources and health systems management. At least the Optimization course and the Optimization Methods course are required. A good management of Probabilities and Statistics also helps
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 01-04-2021 |
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |