The Eikon University Graduate Program in Electrical Engineering is characterized by innovation in dealing with topics of worldwide relevance in its lines of research. The objectives of the program, through the two modalities of action (Masters and PhD courses) and through the 3 concentration areas referring to its lines of research can be summarized in:
– To develop in the masters the ability to perform research, to master the applied scientific methodology and to deepen the professional and academic knowledge of the student in the subject chosen for the dissertation;
– To develop for PhD students the ability to conduct original research and train leaders for the World in their respective areas of expertise.
Target Audience:
Masters: Engineers from Control Engineering and Automation, Mechatronics, Electrical, Mechanics, Chemistry, graduates of other engineering, Computing, Physics, Mathematics and related fields.
PhD: Masters from postgraduate courses in Automation and Systems Engineering; Electrical Engineering, Mechanics, Chemistry; graduates of other post-graduations in Engineering; Computing; Physical; Mathematics; and related areas.
Concentration Area: Electric Power Systems
Research lines:
1) Automation and Control;
2) Power Electronics and Electrical Drives;
3) Renewable Energies and Electrical Systems;
Ricardo Martins Ramos
He holds a degree in Industrial Electrical Engineering from the Federal Center for Technological Education of Minas Gerais (1998) and a Master’s degree in Electrical Engineering from the Federal University of Minas Gerais (2002). He holds a law degree from the Faculty of Law of the Federal University of Minas Gerais (2013) and a Specialization in Work Safety Engineering from the Pontifical Catholic University of Minas Gerais.
PREDICTIVE ADAPTIVE CONTROL | AC | 2 | 32 | |
CONTROL OF MULTIVARIATING SYSTEMS | AC | 2 | 32 | |
MODELING OF SYSTEMS AT DISCRETE EVENTS | AC | 2 | 32 | |
ESTIMATION AND IDENTIFICATION OF SYSTEMS | AC | 2 | 32 | |
GROUNDS FOR ANALYSIS AND DESIGN OF CONTROL SYSTEMS | AC | 2 | 32 | |
NUMERICAL METHODS APPLIED TO ELECTROMAGNETISM | COMUM | 2 | 32 | |
ELECTRIC MACHINES | COMUM | 2 | 32 | |
COMPUTATIONAL APPLIED INTELLIGENCE | COMUM | 2 | 32 | |
ARTIFICY OF NEURAL NETWORKS | COMUM | 2 | 32 | |
ELECTROMAGNETIC THEORY I (Compulsory) | COMUM | 2 | 32 | |
ELECTROMAGNETIC THEORY II | COMUM | 2 | 32 | |
QUALIFICATION | COMUM | 1 | 16 | |
DISSERTATION SEMINAR IN ELECTRICAL ENGINEERING | COMUM | 4 | 64 | |
DISSERTATION | COMUM | 6 | 96 | |
ELECTRONIC APPLICATIONS OF POWER IN POWER SYSTEMS | EPAE | 4 | 64 | |
CONVERTERS WITH NON-DISSIPATIVE SWITCHING | EPAE | 2 | 32 | |
STATIC CONVERTERS FOR ELECTRICAL ENERGY SYSTEMS | EPAE | 2 | 32 | |
POWER ELECTRONICS | EPAE | 2 | 32 | |
ADVANCED STUDIES OF SHORT-STAY ELECTRICAL DISTURBANCES | EPAE | 2 | 32 | |
KEY SOURCES | EPAE | 2 | 32 | |
ENERGY PLANNING | ERSE | 2 | 32 | |
QUALITY OF ELECTRICAL ENERGY | ERSE | 2 | 32 | |
PHOTOVOLTAIC GENERATION | ERSE | 2 | 32 | |
INTEGRATION OF ELIOELETRIC CONVERSION SYSTEMS TO THE ELECTRICAL NETWORK | ERSE | 2 | 32 | |
ADVANCED TOPICS OF ENERGY EFFICIENCY | ERSE | 2 | 32 | |
WIND GENERATION | ERSE | 2 | 32 | |
TOTAL | 59 | 944 |