There are no pre-requisites for this module to be added

The module content will focus on three key areas of embedded systems. The first section will explore the selection and application of embedded system components, including microcontrollers, sensors, actuators, and communication interfaces, while considering real-world constraints. The second section will critically evaluate the accuracy, precision, and environmental influences on analytical sensor elements within embedded applications, addressing challenges such as sensor drift, noise, and calibration. The final section will examine the integration of intelligent instrumentation into industrial and environmental systems, highlighting the role of real-time processing, adaptive control, and embedded AI in enhancing automation and system performance.

Upon completion of this module you will be able to

LO1: Analyse and justify the selection of embedded system components including microcontrollers, sensors, actuators and communication interfaces, considering performance, efficiency, and real-world constraints.

LO2: Critically evaluate the limitations of accuracy, precision, and environmental influences on analytical sensor elements in embedded applications, considering factors such as sensor drift, noise, and calibration challenges.

LO3: Assess the role and impact of intelligent instrumentation in diverse industrial and environmental settings, demonstrating how embedded AI, real-time processing, and adaptive control enhance system performance and automation.

LO4: Investigate and apply structured design methodologies for embedded systems development, including hardware/software design, real-time constraints, and system integration, ensuring robustness and scalability.

LO5: Critically appraise the design, implementation and lifecycle management of intelligent control systems considering factors such as power efficiency, scalability, and long-term reliability.