Universitat Politècnica de Catalunya · BarcelonaTech

Computational Analysis and Smart Solution Tools (250574) – Course 2025/26 PDF

Contents

Basics of statistical modeling Monte Carlo Methods

Dedication

6h Large group + 2h Medium group + 4h Laboratory classes + 16h 47m Self Study
Total: 28h 47m

Extreme models: GPD and GEVD

Dedication

2h Large group + 4h Laboratory classes + 5h 36m Self Study
Total: 11h 36m

Bayesian estimation of parameters. Application to models of Extremes Bayesian estimation with R-Stan

Dedication

2h Large group + 4h Laboratory classes + 8h 23m Self Study
Total: 14h 23m

Generalized linear models Generalized linear models

Dedication

2h Large group + 2h Laboratory classes + 5h 36m Self Study
Total: 9h 36m

Modeling phenomena over time

Dedication

2h Large group + 2h 48m Self Study
Total: 4h 48m

Classification methods

Dedication

1h Large group + 1h Laboratory classes + 2h 48m Self Study
Total: 4h 48m

Dedication

4h Laboratory classes + 5h 36m Self Study
Total: 9h 36m

Dimension reduction methods: PCA and beyond

Dedication

4h Large group + 2h Medium group + 4h Laboratory classes + 14h Self Study
Total: 24h

Linear functional approximation Fitting by least squares. Normal equations. Adjustment by least squares. Normal equations. Gauss-Markov theorem Stochastic modeling and model updating. Bayesian updating Gaussian regression. Kriging Response models

Dedication

7h Large group + 1h Medium group + 4h Laboratory classes + 16h 47m Self Study
Total: 28h 47m

Dedication

4h Laboratory classes + 5h 36m Self Study
Total: 9h 36m