Objectives
Learn to appreciate the working principles and benefits offered by different types of smart sensors and instrumentation and their applications. Understand the role of communication in the interoperability of automation systems and evolution of control systems, and to relate smart sensors and instrumentation to Industrial Internet of Things (IIoT) and general digital transformation.
Who Should Attend
Data Analyst, Data Engineer, Business Intelligence Manager, Senior Data Engineer, Data Scientist, Information Architect, Senior Data Scientist
Entry Requirements
Relevant Bachelor's Degree in electrical/electronicsmechanical/chemical/mechatronics/computer engineering and related disciplines.
Class Schedule
Wednesday (6.00 PM - 9.00 PM), Weeks 1-6
Lesson Delivery
1. Facilitated Learning - 18 hours;
2. Assessment - 2 hours.
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Please note that the mode of delivery is subject to change in light of the COVID-19 situation.
Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.
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Last updated: 09 May 2025