Best Graduate Student Paper Award: During the paper presentation sections, the event’s organizing team will carry out an evaluation to determine the best paper by graduate students. The result will be announced at the closing ceremony. More details will be provided as the event approaches.




Minicourse – Computational Stochastics

Date: July 26, 2026

Instructors: Roberta Lima (PUC-Rio) & Rubens Sampaio (PUC-Rio)

Duration: 4 hours

This minicourse introduces key concepts of stochastic modeling and uncertainty quantification. Topics include probability spaces, random variables and processes, sample generation, statistical modeling, and Monte Carlo methods (LLN and CLT). Practical examples and a brief literature overview will help participants understand how uncertainties are represented and analyzed in computational applications.
It is ideal for researchers, students, and practitioners interested in deepening their understanding of uncertainty quantification and computational stochastic methods.