The Master in Advanced Computing and Electronics is an interdisciplinary program where the areas of Advanced Computing and Electronics converge, cultivating two lines of generation and application of knowledge called Computational Intelligence and Electronic Systems Design with which systems in social, environmental, physical and engineering environments are studied using heuristic and analytical techniques; complex systems are investigated through biocomputing; data mining and machine learning are applied; intelligent systems are developed; an integral vision of computing and electronics is generated; systems of solar renewable energies are optimized using physical, electronic, optical and computational techniques; techniques for the acquisition, optimization, processing, sensing, analysis and description of images and signals are used; solar renewable energy systems are optimized using physical, electronic, optical and computational techniques; techniques for acquisition, optimization, processing, sensing, analysis and description of images and signals are used; electronic systems are modeled as a particular case of complex systems; and physical properties (optical and electrical) of various semiconductor, organic and inorganic materials are analyzed; all of the above to solve current problems related to health, housing, energy, ecology, education, security, through the generation and innovative application of knowledge in these areas.
General Objective
Computational Intelligence
To develop quality research in the area of Computational Intelligence, through the analysis and simulation of complex systems, knowledge discovery, intelligent systems theory and innovation in intelligent systems for the selection, construction and transfer of methods and models of computational intelligence.
Electronic Systems Design
Innovate in the field of electronic systems through the design, development and application of devices for the solution of sensing, solar energy optimization, optical and image and signal acquisition and processing problems.
We have 14 research professors with doctoral degrees.
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