Master's Degree in Sustainable Water Management

OPTIMIZATION TECHNIQUES, PARAMETER IDENTIFICATION AND BAYESIAN INFERENCE

General Data

Type of credits: ECTS
Number of credits: 3.00
Engagement hours: 24.00
ISCED-F: Earth sciences, Generic programmes and qualifications
Status: Optional
Academic Year: 1º
Term: 2º
Modality: Presential
Languages: Spanish, English
Available for Mobility Students: Yes
Restricted to alliance: Yes
Code: V09M195V01216

Coordination

Fernández López, Roberto Ignacio
rfernandez@uvigo.es

Description

Introduces optimization methods, calibration techniques, uncertainty analysis, and Bayesian approaches for water modelling.

Subject area

Computational Modelling and Optimization

Learning Outcomes

Formulate optimization problems, calibrate models, quantify uncertainty using Bayesian methods.