RAVEN Workshop Registration Form

The first objective is to provide a general understanding of the RAVEN package and its main capabilities. Second, a series of practical examples will be provided in ascending level of complexity, starting from the simplest statistical analysis to the generation of the complex machine learning models and their utilization in system analysis and uncertainty quantification. Third, the system optimization, such as genetic algorithm and Bayesian optimization will be covered. At the end of the training activities, attendees will be able to autonomously use the code in one or more of the RAVEN applications’ areas. Each training section will include a theoretical/code usage overview of the subject capability and hands-on activities (construction of the RAVEN input and execution of the analysis); for this reason, it is suggested that the attendees have their own laptop ready and have RAVEN installed before the training. We recommend the attendees follow the installation procedures provided in https://pypi.org/project/raven-framework/. During the training, A RAVEN team member will be available for solving unexpected problems.