Our courses are geared to meet the demands of professionals. We offer both a-la-carte and modular formats, with contents that meet the needs and requirements given. All our courses are aimed at practical application and include examples of interest to the client, so that the knowledge acquired can be immediately applied to business processes.

Some previous courses:

• Mathematical and statistical techniques in the productive sector.
• Finite element methods: analysis, software and applications in engineering.
• Free software oriented to science and engineering. Code Aster, Elmer, Open Foam, Python, R, Salome.
• Data mining tools.
• Biostatistics methods.
• Optimisation in logistics and business.
• Statistical techniques in quality control
• Simulation of thermomechanical phenomena in industry.
• Numerical simulation of fluid mechanics.
• Valuation of financial derivatives and risk analysis.
• Management of specific software packages.
• Computational techniques and new computational tools.
• Introductory course on basic statistics and experimental design.
• Training course on statistical tools supporting technological surveillance.

These and similar courses have been implemented by the CESGA Node within the i-MATH project, and have been held since 2007.

OFFERED COURSES (further Info)

• ​Curso: Técnicas de estadística básicas de análisis de datos, impartido por Prof. Ricardo Cao Abad los días 6,13,16 y 22 de noviembre de 2018.
• Curso Multiphysic Modelling, del 25 de junio al 6 de julio de 2018

• Curso: Decomposithion Techniques in Mathematical Programming, impartido por Prof. Antonio J. Conejo del 4 al 7 de junio de 2018.

• Course Reaction-difussion systems: global existence L∞,Lp, L1 ,L2 approaches, singular perturbations, asymptotic behavior, (5-8 july, 2016 POSTPONED)
• Course Optimal Control of Partial Differential Equations (22-25 february 2016)
• Course Stochastic Optimization and Approximations (15-24 february 2016)
• Course Solving Complex Mathematical Programming Problems with AMPL Modelling Language (18-19 january  2016)
• Course Mathematical Programming (1-4 december 2015)
• Course Model Order Reduction. Proper Generalized Decomposition (PGD) Methods (6-9 october 2015)
• Course Financial Engineering (23-30 september 2015)
• Course Integer Stochastic Programming (21-30 september 2015)
• Course Identification of Dynamic Models with AMIGO (1-3 september 2015)
• Course de introducción a la simulación numérica multifísica con ELMER (2ª edición) (6 y 7 july 2015)
• Course Scenario Generation and Scenario Reduction for Stochastic Programming  (4-12 june 2015)
• Course Polynomial Programming (11-19 may 2015)
• Course Automated finite element computing in the FEniCS framework (23-26 march 2015)
• Course de introducción a la simulación numérica multifísica con ELMER  (28-29 january 2015)
• Course de OpenFOAM: introducción a la dinámica de fluidos computacional (18-20 june 2014)