Advanced Topics in Embedded Systems Engineering

The “Advanced Topics in Embedded Systems Engineering” course offers an in-depth exploration of the complex and evolving landscape of embedded systems. Building upon foundational knowledge, this course delves into cutting-edge concepts and practices that drive innovation in the field of embedded systems engineering. Participants will engage with advanced topics that address challenges and opportunities in designing intelligent, connected, and efficient embedded systems for diverse applications.

Through a blend of comprehensive lectures, hands-on projects, and collaborative discussions, this course equips students with the expertise required to navigate intricate aspects of embedded systems engineering:

Embedded System Architecture: Analyse advanced architectures, including multi-core processors, DSPs, FPGAs, and ASICs, to design high-performance and energy-efficient embedded systems.

IoT and Wireless Communication: Explore wireless protocols, IoT platforms, and network protocols, and learn how to design secure and scalable IoT-enabled embedded systems.

Real-Time Operating Systems (RTOS): Dive into advanced RTOS concepts, including task scheduling, inter-task communication, and synchronisation mechanisms for real-time applications.

Embedded Software Engineering: Master software engineering practices for embedded systems, including modular design, software testing, and code optimisation.

Embedded System Security: Learn advanced security techniques, cryptography, secure boot, and vulnerability assessment for safeguarding embedded systems.

Machine Learning in Embedded Systems: Understand the integration of machine learning algorithms into embedded systems, enabling intelligent decision-making and automation.

Advanced Power Management: Explore dynamic voltage and frequency scaling, power gating, and advanced energy-efficient techniques for prolonging battery life.

Embedded System Verification and Validation: Gain expertise in testing strategies, simulation, emulation, and verification methodologies to ensure reliable embedded system functionality.

Emerging Trends: Investigate emerging trends like edge computing, hardware accelerators, and cyber-physical systems, shaping the future of embedded systems engineering.

Hands-on labs, simulations, and real-world projects will immerse students in practical applications of advanced concepts, fostering a deep understanding of complex embedded systems. By course completion, participants will be poised to design and engineer sophisticated embedded systems that power innovations across industries.

Prerequisites: Successful completion of foundational embedded systems courses or equivalent knowledge.

Assessment: The course will be assessed through advanced projects, group discussions, practical demonstrations, and a comprehensive final assessment that reflects mastery of advanced embedded systems engineering concepts.

Join us in the “Advanced Topics in Embedded Systems Engineering” course to deepen your expertise, explore frontiers of innovation, and drive the next generation of intelligent and connected embedded systems.