Teaching

Specialization courses

Be Bayesian my Friend (2h): Introductory workshop on Bayesian inference, covering the theorem, posterior distributions and credible intervals, hierarchical models, and hands-on modelling with brms.
Be Bayesian my Friend 2.0 (20h): A comprehensive four-part introduction to Bayesian inference, from priors and MCMC to hierarchical and spatial models, using JAGS, brms, INLA and inlabru, with real-world health applications throughout.
Bayesian Inference Using R-INLA (10h): Workshop on fitting latent Gaussian models with INLA and inlabru, from fundamentals to spatial modelling, disease mapping and geostatistics, through six hands-on lessons with real datasets.

Econometrics — Bachelor’s degree in Business Administration and Management
Bayesian Learning Methods — Master’s Degree in Data Analysis, Process Improvement and Decision Support Engineering
Predictive Models — Bachelor’s degree in Data Science
Introduction to AI (Project I) — Bachelor’s degree in Artificial Intelligence
Data Analysis (Project III) — Bachelor’s degree in Data Science
Bayesian Inference Using R-INLA — Master’s degree in Biostatistics

Data Analysis in Medical Research — Master’s Degree in Data Analysis, Process Improvement and Decision Support Engineering
Econometrics — Bachelor’s degree in Business Administration and Management
Predictive Models — Bachelor’s degree in Data Science
Data Analysis (Project III) — Bachelor’s degree in Data Science
Bayesian Inference Using R-INLA — Master’s degree in Biostatistics

Predictive Models — Bachelor’s degree in Data Science
Econometrics — Double degree in Telecommunications Engineering and Business Administration and Management
Econometrics — Double degree in Food Technology and Business Administration and Management
Econometrics — Bachelor’s degree in Business Administration and Management
Bayesian Inference Using R-INLA — Master’s degree in Biostatistics