Technological/Scientific Courses

Acquisition of Scientific and Technological Competences in order to develop innovative solutions.

List of courses that can be included in the training plan:


  • Computer Vision for human behaviour understanding
  • Embedded system design for wearable applications
  • Neural Networks for Statistical Pattern Recognition
  • Technology Trends for 5G and Wireless Systems
  • Security Challenges for IoT and Smart City Systems and Applications
  • Requirements Engineering
  • Predictive Analytics for Structured Data
  • Network Softwarization, Virtualization and Silicing Foundations of the 5th Generation Radio Mobile Networks: from the Cloud to the 5G
  • Machine Translation
  • Machine Learning with Big Data
  • Investigating Participation in Participatory Design
  • Introduction to Deep Learning
  • Information visualization
  • High-Frequency Systems-on-Chip for mm-Wave Applications
  • Engineering Privacy for Information Systems
  • Energy efficient wireless communications
  • Deep Learning for Image Processing
  • Conversational Agents in Computational Linguistics
  • Artificial Intelligence for Bioinformatics
  • An introduction to Network Science
  • Advanced Numerical Methods for the Electromagnetic Modeling of Complex Communications and Sensing Scenarios
  • Materials Science and Engineering


  • Biodesign applied to tissue engineering
  • Coatings for corrosion protection and electrochemical surface characterization
  • Computational thermodynamics I
  • Computational thermodynamics II
  • Confocal microscopy – theory and practice
  • Electron microscopy techniques - theory
  • Electron microscopy techniques - practice
  • Elemental Analysis by X-Ray Spectroscopy - theory
  • Elemental Analysis by X-Ray Spectroscopy - practice
  • Environmental sustainability of the materials
  • Experimental mechanics of materials
  • Materials science and technology
  • Nanomedicine: nanotechnologies and materials for advanced therapeutics
  • Optical properties of nanomaterials
  • Powder metallurgy
  • Qualification SEM and TEM
  • Scanning probe microscopy – theory and practice
  • Thermal analysis
  • X-ray diffraction: theory and applications to materials science and engineering
  • Cognitive architectures, human sensory-motor strategies and human-robot interactions
  • Design of transducers based on smart materials and structures for robotics and energy harvesting
  • High level programming tools for developing mechatronics applications
  • Nonlinear hybrid dynamical systems
  • Nonlinear vibration


  • Numerical optimization. Algorithms and practical implementation
  • Numerical optimization control: basic theory and applications
  • Object oriented modeling and simulation of multi-physics dynamical systems
  • Saturated control systems
  • Scientific Programming
  • Time of flight cameras and 3D data processing


  • Designing and programming the Internet of Things
  • Image sensors
  • Measurement methodology and electronic instrumentation
  • Silicon radiation detectors
  • Systems for Energy efficiency


  • Basics of reliability engineering
  • Research Methodology
  • Decision Theory
  • Linear and non-linear optimization
  • Design of experiments and analysis and modelling of experimental data