Integration of off-the-shelf sensors and embedded intelligence components to form data acquisition, monitoring and control of remote equipment and systems through wired and wireless networks; algorithm development and implementation in interrupt-driven and RTOS-based firmware environments; collection, reduction, analysis and information extraction of data from multiple edge devices using industry-standard cloud-based software environments. Prerequisites: Grade of C or better in ESET 355, ESET 359, and ESET 369; junior or senior classification in electronic systems engineering technology Credits 3. 2 Lecture Hours. 3 Lab Hours.
Integration of off-the-shelf sensors and embedded intelligence components to form data acquisition, monitoring and control of remote equipment and systems through wired and wireless networks; algorithm development and implementation in interrupt-driven and RTOS-based firmware environments; collection, reduction, analysis and information extraction of data from multiple edge devices using industry-standard cloud-based software environments. Prerequisites: Grade of C or better in ESET 355, ESET 359, and ESET 369; junior or senior classification in electronic systems engineering technology Credits 3. 2 Lecture Hours. 3 Lab Hours.
