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Course Overview

This course will provide participants an appreciation of how smart sensors and embedded systems make systems smart and enable the integration of various industrial sub-systems towards process and product optimization.  They will also gain appreciation of how the huge amount of data resulting from the connectedness can be harnessed through analytics and machine learning to yield intelligent and actionable recommendations towards system improvement.

 

Participants will be provided hands-on opportunity to build a basic IoT application where they will get to learn to make systems smart and connected. The data collected from the sensors will be sent through network, and visualized on a dashboard.

 

Participants will also get to use data analytics tools to gather data from sources, process and plot visualizations to analyze the relationships and structures of the data that could be used to improve the process or product.

Who Should Attend

Process Engineers, Product Test Engineers, Integration Engineers, Equipment Engineers and Individuals who require IIOT Core Skills to interrelate machines, equipment and computing devices (IOT Management, System Integration).

What You'll Learn

  • IIoT Technologies and digital transformation
  • Smart sensors and devices for interrelating machines, equipment and computing devices
  • Case studies on how IIoT connectivity yields system improvement
  • Hands-on: Build an IoT Application
  • Data gathering, synthesis, analytics and interpretation.
  • Hands-on: Perform Data Analytics and Visualization


Certification

Participants will be issued with a Certificate of Accomplishment upon meeting 75% of the required course attendance.

Course Schedule

Intake Info Application Closing Date Course Duration

To be advised

To be advised

To be advised

APPLY

Application Procedures

 

Click on the Apply button above to submit your application online. Registration may be closed earlier due to overwhelming responses.

 

Steps to follow in your application:

 

Step 1 - Enter NRIC/ Passport No

Step 2 - Select ZB7 and course commencement date.

Step 3 - Enter personal, qualification, employment and sponsoring details (if applicable).

Step 4 - Applicable for 'Stackable based modular course' or 'Diploma or Post-Diploma courses' only. Select, rank your preference for the selected subject(s) and indicate the number of subject(s) you wish to take. Please note that the subject start date(s) denotes the semester start date.

Step 5: Make declaration and submit online application

Course Fees

Fee Type Item Course Fees
 (w GST) 
Full Course Fee
S$481.50
SG Citizens aged 39 & below / Permanent Residents S$144.45
SG Citizens aged 40 & above / SME-sponsored SG Citizens & Permanent Residents S$54.45


SkillsFuture Credit Approved. For more details, please click here


With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by Work Support Scheme (WSS), for more information, please visit: 
https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html


Requirements

Please note that participants should achieve at least 75% of attendance and sit for the assessment at the end of the course. Participants who fail to meet the requirements will be withdrawn from their funding eligibility and participant/company sponsor will be requested to make payment for the difference in the course fee, which is the funded amount.

Lecturer/Trainer Profile

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Course Contact

  • 67881212
  • 8.30am – 6.00pm (Mon – Thu)

    8.30am – 5.30pm (Fri)

    Closed on Sat, Sun & Public Holidays

    Due to Safe Management Measures, our office is currently closed.

    Please call or email us your enquiry.

    Thank you for your patience and understanding.

  • Website: https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy
    Temasek Polytechnic
    East Wing Block 1A,
    Level 3, Unit 81
    21 Tampines Ave 1
    Singapore 529757

     

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel a course with low enrolment.

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