Explore the programs and courses offered by Automation and Industrial Computing
Browse Programs Admission InformationThe Master's program in Automation and Industrial Computing combines theoretical courses, tutorials, and practical work to train specialists in automated system control and industrial process supervision. The courses cover advanced topics such as optimal and robust control, system identification, artificial intelligence applied to automation, as well as industrial communication and sensor networks.
The tutorials deepen the analysis of dynamic systems, PLC programming, and industrial process modeling. The practical work focuses on implementing control algorithms on embedded platforms, integrating programmable logic controllers (PLCs), and using programming and simulation software for system supervision and diagnostics.
Signal Processing
Multivariable Linear Systems
Optimization
Converter-Machine Association
Embedded Systems and Real-Time Systems
Nonlinear Systems
Applied Electronics
Advanced API Programming
Control of Manipulator Robots
Advanced Control
FPGA and VHDL Programming
Discrete Event Systems
Advanced topics include robust and adaptive control for the regulation of complex systems, computer vision for inspection and object recognition in industrial environments, as well as process optimization through artificial intelligence and machine learning. Industrial cybersecurity and automated network supervision are also covered to ensure the safety and efficiency of connected systems. Finally, the program incorporates advanced concepts in robotics, mechatronics, and embedded systems to meet the demands of intelligent and autonomous industries.
Access to the program is particularly intended for holders of a Bachelor's degree in Automation.
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