8 hours / 1 day
8.30am to 5.30pm
Mode of 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
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
Course Fees payable:
|Singapore Citizens aged below 40 and Singapore PRs||Singapore Citizens||Others|
|Non-SME sponsored||1Sponsored by SME||2Aged 40 and above|
|(incl. GST)||(incl. GST)||(incl. GST)||(incl. GST|
Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.
1 Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information, click here.
Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME
” together with your online application.
2 Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here.
Please click here for more information on funding incentives.
*Please note that once the maximum class size is reached, the online registration will be closed.
*Participants would need a pc or laptop with Microsoft windows 8 or 10
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:
Please make cheques payable to “Singapore Polytechnic”. Do cross the cheque and write the Registration Reference ID, Applicant Name and NRIC/FIN number at the back of the cheque. When you have completed required
details, you may mail the cheque here.
Please note that an administrative charge of $15 will be imposed for any returned cheques from the bank or financial institution.
2. All successful applicants will be notified with a letter of confirmation via email.