Teaching

Currently teaching:

UMA - Science Building - OPTIMIZACIÓN (in Spanish).

This Bachelor of Science (BSc) course in Mathematics explores key topics including the fundamentals of polyhedra, linear programming, duality theory, and combinatorial optimization.

UMA - Science Building - INVESTIGACIÓN OPERATIVA (in Spanish).

This is a BSc. course in Mathematics that covers fundamental aspects of Machine Learning and decision-making under uncertainty.

From Fall 2016 to Spring 2023

UMA - Industrial Engineering Building - ANÁLISIS VECTORIAL Y ESTADÍSTICA (in Spanish): Group activities

This BSc. course is divided into three blocks. The first one comprises concepts and methods from differential geometry and its applications to parameterized curves and surfaces. The second block deals with vector calculus, including line, multiple and surface integrals and related theorems. The third block consists of an introductory course to statistics (descriptive statistics, probability theory, random variables, hypothesis testing, etc.)

UMA - Industrial Engineering Building - CÁLCULO (in Spanish). Teaching material: Group activities

This BSc. course covers elementary mathematical techniques that are widely used in Engineering, such as complex numbers, integration, derivation, continuity, scalar fields, numerical methods, optimization, etc.

UMA - Industrial Engineering Building - ÁLGEBRA LINEAL (in Spanish)

This is a basic BSc. course covering elementary linear algebra techniques and concepts such as linear systems of equations, space vectors, linear and affine transformations, quadratic forms, orthogonal geommetry and movements, etc.

UMA - Informatics and communications engineering -  NUMERICAL METHODS (in Spanish)

This BSc. course covers a range of numerical methods for solving nonlinear equations, systems of linear equations, ordinary differential equations, interpolation and approximation techniques, numerical integration, etc.

Fall 2016

UMA - EPS - CÁLCULO (in Spanish)

This BSc. course covers elementary mathematical techniques that are widely used in Engineering, such as complex numbers, integration, derivation, continuity, scalar fields, numerical methods, optimization, etc.

Spring 2016/Spring 2014

DTU Compute - DECISION MAKING UNDER UNCERTAINTY IN ELECTRICITY MARKETS (Teaching material: Spring-2016 version)

This MSc. course covers techniques of optimization under uncertainty to assist energy producers, retailers, and consumers in participating in electricity markets and improve market efficiency through enhanced market-clearing algorithms. You can find more information and material related to this course in the course website

Spring 2012

DTU Compute - TOOLS FOR DECISION MAKING UNDER UNCERTAINTY IN ELECTRICITY MARKETS (Teaching material)