Engineering Data Analytics & Industrial Internet of Things
About This Course
This is a module under the Diploma in Engineering (Electrical – Rapid Transit Technology).
What You'll Learn
It provides students with an understanding of the concept of various condition-based asset monitoring techniques at workplace. Students also learn how to determine conditions and identify variances in systems, equipment and components.
The module also covers the basic of cybersecurity and how it relates to the security and integrity of information and network. The module also introduces to students the characteristics of cybercrime, security principles, technologies and technologies to defend networks.
The module provides students with the concepts of data analytics in rail engineering, starting with an introduction to the tools for preparation and pre-processing of data, followed by various analysis tools in the domains of supervised and unsupervised learning. Students will learn how to identify data sets for the application of statistical techniques to analyse and interpret large complex data to uncover trends or patterns in order to locate and define new process improvement opportunities.
Entry Requirements
GCE ‘O’ Levels The following GCE 'O' Level grades and with at least 1 year of relevant working experience:
• English Language: Grade 1 – 7
• Mathematics (Elementary or Additional): Grade 1 – 6
• Science: Grade 1 – 6
Nitec in an engineering or information technology discipline
GPA > 3.5 OR GPA > 3.0 and at least 1 year of relevant working experience
Nitec in Technology in an engineering or information technology discipline
GPA > 3.5 and at least 1 year of relevant working experience
Higher Nitec in an engineering or information technology discipline
GPA > 2.0 OR GPA > 1.5 and at least 1 year of relevant working experience
Higher Nitec in Technology in an engineering or information technology discipline
GPA > 2.0 and at least 1 year of relevant working experience
WSQ
Relevant WSQ Advanced Certificate (or higher) with at least 1 year of relevant working experience and Level 6 for both WSQ Workplace Literacy SOA & Workplace Numeracy SOA