Digital Transformation
Graduates of this Master’s Degree in Artificial Intelligence will acquire skills that will enable them to apply complete solutions based on Artificial Intelligence and gain access to jobs in multiple sectors of the world of work, such as industry, tourism, health, the financial sector or digital entertainment.
Aquamatics
Molecular Biology for Engineering
Contents: 1. Prokaryotic and eukaryotic cells – cell organization (membranes, genetic material, organelles, nucleus, cell energy storage. Cell division. Cell biology techniques. Microscopy. 2. Proteins. Protein structure and properties: aminoacids, primary, secondary, tertiary and quaternary structure. Protein classification. Enzyme kinetics and its regulation. Methods for protein characterization: electrophoresis, chromatography, mass spectrometry, spectroscopic techniques – UV, […]
Mathematical Optimisation
This course explores topics closely related to one or more goals of the United Nations 2030 Agenda for Sustainable Development (SDGs). Subjects: The scope of integer and combinatorial optimization, Linear programming, Network flow problems, Integer Programming, Combinatorial optimization, Heuristic algorithms, Relaxation techniques, Dynamic programming, Introducing python and Gurobi for optimisation. Goals: capability of formulating a […]
Ceramic Materials
Kroeger-Vink notation. Quasi-chemical approach to defects population in ceramics. Kroeger-Vink diagrams. Defects energies. Mixing energy and entropy. Most important raw materials for traditional ceramics (clays and feldspars; Physical, chemical and mechanical properties of alumina, zirconia, silicon nitride, silicon carbide and diamond (diamond-like coatins). Industrial preparations, separation and characterization of powders. Forming of ceramics: uniaxial and […]
