Master's Degree in Sustainable Water Management

MACHINE LEARNING

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: V09M195V01215

Coordination

Araújo Fernández, María
maraujo@uvigo.es

Description

Covers machine learning algorithms and their application to prediction, classification, and optimization problems in water systems.

Subject area

Artificial Intelligence and Machine Learning

Learning Outcomes

Develop predictive models, evaluate algorithm performance, apply machine learning to water-related datasets.