This Module provides a detailed understanding of the tools, techniques and platforms that are used for programming of Embedded Systems. Further it gives in-depth insight into a family of currently used microcontrollers. The module also aims at developing a comprehensive knowledge of Real Time needs of the Embedded System, by understanding the framework of RTOS and using state of the art microcontrollers to designing and programme a range of RTOS based applications.
The aim of this module is to explore different 32-bit microcontroller hardware architectures, to understand ARM core architecture and provide a deep insight into programming and optimization on ARM7. In addition a practical understanding of device I/O types including UART and interfacing using I2C, USB, CAN and high speed buses- ISA, PCI, PCI-X, cPCI is fully addressed. The Module also develops a comprehensive knowledge of Embedded Linux programming with ARM, RTLinux APIs and Device Driver programming.
Explore the role of Artificial Intelligence in engineering applications. The module develops both theoretical understanding and practical experience of using Knowledge Based Systems, Fuzzy Logic, Artificial Neural Networks, Evolutionary Computing and Swarm Intelligence in a broad range of Engineering applications. You will gain experience at applying AI techniques to a broad range of industrial problems including diagnostics, control. robotics, scheduling, planning and optimisation.
Autonomous intelligent systems are at the forefront of technology. This module will give you an understanding of the underlying principles of mobile systems, a practical knowledge of its applications, and an ability to to analyse and solve related real-world autonomous systems problems.
With this knowledge you will be able to critically review and analyse current autonomous systems by having the opportunity to programme and deploy a range of industrial standard mobile robotic/software platforms.
Admission sur dossier et inscription du 20 Janvier au 20 Mai.
Dossier disponible auprès de l’ESTIA : firstname.lastname@example.org – 05 59 43 84 43
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Etablissement de la Chambre de Commerce et d'Industrie Bayonne Pays Basque