Lecture Title: An introduction to data science and machine learning for environmental and/or engineering problems (5 x 1h30; Online)
Contents: Data collection and preparation. Supervised and unsupervised machine learning techniques. Introduction to deep learning and time-series analysis. Examples and applications from engineering and environmental science.
By: Mark Asch, Université de Picardie Jules Verne, Amiens, France
Lecture Title: Modelling with PDEs: the example of traffic flow, a few aspects (5 x 1h30)
Contents: Initial- and boundary-value problems; dimensional analysis and dimensionless equations; transformations: Cole-Hopf, Fourier and Laplace; geometrical aspects of solutions; change of variables and the Rankine-Hugoniot condition.
By: Joaquim M. C. Correia, Universidade de Évora, Évora, Portugal
Lecture Title: Partial differential equations in science: a very brief introduction (5 x 1h30)
Contents: The heat, wave, and transport equations as models of natural and artificial phenomena; solving the heat and wave equation by Fourier series; D’Alembert formula for the wave equation; transport equations: linear and non-linear (Burgers); characteristics, shocks, need for a weaker notion of solution.
By: Fernando P. da Costa, Universidade Aberta, Lisboa, Portugal
Lecture Title: Introduction to continuous dynamical systems (5 x 1h30; Online)
Contents: Motivation from population dynamics. One dimensional dynamics, orbits, bifurcation. Two-dimensional dynamics. Invariant manifolds. Centre manifolds.
By: Michael Grinfeld, University of Strathclyde, Glasgow, United Kingdom
Lecture Title: Introduction to Python (5 x 1h30; Online)
Contents: Python presentation, basic notions (number, array, string, function), graphics, symbolic calculus, linear and nonlinear systems, differential equations.
By: Marília C. V. O. Pires, Universidade de Évora, Évora, Portugal
Lecture Title: Integer programming applied to humanitarian logistics (4 x 1h30)
Contents: Modelling linear and integer optimisation problems. Solving integer programming models using specialised software. Application to humanitarian logistics problems.
By: Begoña Vitoriano Villanueva, Universidad Complutense, Madrid, Spain