• ability to understand, frame, formulate, and solve electrical and computer engineering problems, independently of their origin or structure, possibly in a multidisciplinary and/or complex context; • Ability to demonstrate knowledge and advanced understanding of concepts in the area of expertise of the course capable of constitute the basis of developments and innovative applications, in many cases in a research context; • Ability to design and develop solutions to solve complex problems in a sustainable way or instances of problems involving data and processes large or uncertain; • Demonstrate learning skills that enable them to continue their studies to learn whether individually or in groups, independently and throughout his active life.
Computer Programming; Digital Systems Laboratory; Linear Algebra and Analytical Geometry; Mathematical Analysis I; Circuits Laboratory and Simulation; Mechanics and Waves; Microprocessor Systems; Electric Circuits; Electric Materials and Semiconductors; Signals and Systems; Data Structures and Algorithms; Electromagnetics; Electronics; Probability and Statistics; Signal Processing; Control Systems; Databases; Electrical Energy Conversion; Waves and Propagation; Planning and Management Techniques; Computer Networks; Embedded Systems; Industrial Automation; Instrumentation and Measurements; Introduction to Communications; Operative Systems; Power Systems Introduction.
Digital Innovation Hubs
- - Robotics
- - Data analytics
- Practical exercices
- Practical session in lab
Technology Absortion Cycle
- Configuration: supports the process of determining how a technology is implemented in a real manufacturing setting. It includes the creation of a business case.
- Implementation: supports the implementation and installation of the technology in an industrial setting.
- Operation: supports knowing how to operate the technologies during daily operations.
- Research & Development
Automated robotics in all applications and network communications