1) 09 Sept 2021
2) 07 Oct 2021
21 Jun to 24 Aug 2021
8 hours / 1 day
8.30am to 5.30pm
Mode of Training:
Facilitated Learning (F2F) and Practical Training
This course introduces the fundamentals of Internet of Things (IoT), how data could be transferred from sensors (IoT) to the cloud or network and data management to drive efficiency, enhance and improve operational tasks and work processes for the semicon and electronics manufacturing industry.
The objective of this course is to equip participants with knowledge of internet of things (IoT), IoT applications and its eco-systems used in the semiconductor/electronics manufacturing industry. There would be hands-on session with setting up an IoT system and participants can apply the knowledge and skills to help improve their operational tasks and increase work productivity.
This course consists of 8 hours of lectures and practical.
MODULE 1: Overview of a typical IoT application, and sensor data upload to IoT Cloud
Introduction to the various technologies in a typical IoT application; sensor data collection, wireless communication, network connectivity, cloud computing and data analysis.
Participants will have hands-on session with uploading sensor data to IoT cloud platform for visualization and remote monitoring.
MODULE 2: Graphical Data Management Tools and Applications in semicon and electronics manufacturing industries
Participants would be taught to retrieve sensor data from server to pc. They would be introduced to graphical data management tools for data analysis and visualisations.
Case study/discussion on IoT applications in Semicon and Electronic manufacturing industries
Participants would gained knowledge in IoT and be able to use digital technology to improve their work and data analysis skills to generate relevant information for their work, gained insights from the data and respond promptly
All engineering technical or personnel.
Minimum Entry Requirements / Assumed Skills and Knowledge
Engineering or manufacturing background. Preferred to have at least an ITE level or above or at least a year of work experience in a technical role.
Award / Certification / Accreditation
• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate
Eligible for SkillsFuture CreditTerms and Conditions*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.
1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:
a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.
b) For NETS payment, you can pay at:
c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number.
*With effect from 1 August 2021, cheque payment will not be available.
2. All successful applicants will be notified with a letter of confirmation via email.