Course aims:

Designing SoC for real-time systems
Designing network-based systems
Security issues solving in SoC

Course Entry Requirements:

Fundamental knowledge in systems programming

Course contents:

Architectures for SoC- state-of-art research

Real-time systems implementation using SoC

Real-time tasks implementation in SoC

Real-time architectures for networked systems 

Time synchronization for intelligent systems

Teaching methods:

Lecture, conversation, exemplification, exercises. Projects development

Learning outcomes:

Designing applications using computing systems (plc microcontrollers, fpga) for System-On-Chip (SoC) architectures 

Development of SoC integrated applications - tools specific to the development of applications in the field of applied electronics

Development of software applications for applied electronics, using web and multimedia technologies specific to the 

SoC testing activity. Quality assurance tools and methods

Learning outcomes verification and assessment criteria:

Final exam 10%; Projects/Assignments –60%; Continuous assessment – 30%.

Recommended reading:

Thomas C. Henderson, Computational Sensor Networks, ISBN 978-0-387-09642-1
Sukhan Lee, Multisensor Fusion and Integration for Intelligent Systems, Springer-Verlag, ISBN 978-3-540-89858-0 e-ISBN 978-3-540-89859-7
Smart Sensors Systems, ISBN 9780470866917