Por Raquel Menezes (Departamento de Matemática - Universidade do Minho).
Environmental monitoring data often have both a spatial structure, determined by the locations of monitors, and a temporal one, determined by the frequency with which observations are taken at these locations. Advances in technology have made the collection of datasets with this structure increasingly common in a wide variety of settings.
Data Science Unplugged (DSup) is a community for everyone becoming a data scientist or keen on learning and sharing knowledge about statistics and data science. This time DSup brings you a full-day event with several speakers and a workshop: Data Science in Practice.
As provas, requeridas por Francisco Alexandre Saldanha da Gama Nunes da Conceição, decorrem nos dias 01 e 02 de fevereiro de 2018.
No dia 02 de fevereiro, será apreciado o sumário do seminário/lição com o título "P-hub median problems: a laboratory for mixed-integer stochastic linear programming?".
Por Chen Zhou (Dutch Central Bank - BNB and Erasmus University Rotterdam).
The course starts with a short revision of multiple linear regression and generalised linear models, followed by an introduction to linear mixed effects models and generalised linear mixed effects models (GLMM) to analyse nested (also called hierarchical or clustered) data, e.g. multiple observations from the same animal, site, area, nest, patient, hospital, vessel, lake, hive, transect, etc.
Por Luís Margalho (Departamento de Física e Matemática, Instituto Superior de Engenharia de Coimbra).
Bernardo Pedro Esteves Ferreira de Almeida defende a tese "Multi-skill resource-constrained project scheduling problems: models and algorithms".
Por Carina Silva (Escola Superior de Tecnologia da Saúde de Lisboa - Instituto Politécnico de Lisboa).
Por Alex J. Koning (Econometric Institute – Erasmus University of Rotterdam).
Por Luísa Canto e Castro Loura (Direção-Geral de Estatísticas da Educação e Ciência, Portugal).
