WSQ—Internet of Things (SF) (Synchronous and Asynchronous E-learning)

This course will provide learners to design and set up interface and interconnections from or among sensors, through a network, to a main location, to enable transmission of information. Learners will identify appropriate concepts of Internet of Things data for analysis. Students learn how to extract IOT data and store in a cloud server. Students perform data extraction from IOT devices and display the data for monitor in the web. The monitored data will be stored in the cloud server. Student will learn to download data for data analysis.

In addition, skills will be attained for the designing of the physical layouts reflecting connections among sensors, networks and data collection or transmitting systems, and test and fine tune them.

 

WSQ—Internet of Things (SF) (Synchronous and Asynchronous E-learning)

Key Facts 

  • Course duration: 39 hrs (please refer to the details below)

  • Intake dates: Start in January, February, March 

  • Course Validity: Till 28th March 2024
  • Total training fee: S$1,968.06 (Price inclusive of GST)
  • Funding: Up to 90% of funding is available. Please see the criteria below
Enquire now

Learners will be able to achieve the following skills:

  • Work in a team setting and be knowledgeable of sensor networks concepts and principles of operation.
  • Be effective team player and be able to manage different types of data collection or transmitting devices, programs, systems and methods.
  • Adopt analytical and strategic approach in using simulation or modelling software for sensor networks to meet stakeholder needs.
  • Develop physical layouts or maps reflecting connections among sensors, networks and data collection or transmitting systems.
  • Utilise simulation or modelling software to model and test interconnections among devices and programs.
  • Implement user acceptance testing to test the embedded systems interfaces and/or products.
  • Determine the most appropriate IoT Devices and Sensors based on Case Studies.
  • Setup the connections between the Devices and Sensors.
  • Evaluate the appropriate protocol for communication between IoT.
  • Analyse the communication protocols for IoT.

 

 

 

Please choose one of the following options:

1

4.5 days, 9 AM - 6 PM (Monday - Friday). 9 hours/day *4 days + 3 hours of Assessment.

2

2 weekends (Saturday and Sunday) + 3 hours of Assessment. 

3

14.5 days - 2 weeks, 7 PM - 10 PM (Monday - Friday). 

4

Customized upon corporate request. 

5

3 months, 1 session/week, 3 hours/session.

At the end of the course, learners will be able to:

  • Work in a team setting and be knowledgeable of sensor networks concepts and principles of operation.
  • Be effective team player and be able to manage different types of data collection or transmitting devices, programs, systems and methods.
  • Adopt analytical and strategic approach in using simulation or modelling software for sensor networks to meet stakeholder needs.
  • Develop physical layouts or maps reflecting connections among sensors, networks and data collection or transmitting systems.
  • Utilise simulation or modelling software to model and test interconnections among devices and programs.
  • Implement user acceptance testing to test the embedded systems interfaces and/or products.

The entry requirement for this course are as follows:

  • Aged between 21 years old and above,
  • Minimum at least Learners must have ONE GCE “O” Level,
  • Able to read, listen and speak English at a proficiency level equivalent to Employability Skills System (ESS) Literacy Level 6;
  • Able to count with a proficiency equivalent to Employability Skills System (ESS) Numeracy Level 6
  • Have basic computer literacy (Workplace Skills Series - Information & Communication Technologies Skills)

To receive funding from SSG, you must meet the following criteria:

  • Pass the course
  • Achieve a minimum of 75% of the attendance
  • Must not be barred from receiving government grants

Course Fee Funding for Self-sponsored Individuals (as of 30 Apr 2021)

Certifiable courses approved by SSG Course level Courses starting before 1 Jan 2022 Courses starting on or after 1 Jan 2022
Singapore Citizens (SCs) and Permanent Residents (PRs) (Self-sponsored individuals must be at least 21 years old) PMET Up to 50% of course fees, capped at $15 per hour Up to 50% of course fees
Non-PMET Up to 80% of course fees, capped at $17 per hour
SCs aged ≥ 40 years old (SkillsFuture Mid-career Enhanced Subsidy) PMET Up to 90% of course fees, capped at $50 per hour Up to 70% of course fees
Non-PMET Up to 90% of course fees, capped at $25 per hour

This accreditation enables Singaporeans and Singapore PR holders to get a part of their course funded by the SSG. Subjected to the eligibility and funding caps, the funding support is up to 90% for Singaporeans and up to 80% for Singapore PR holders.

  • You may also be eligible for the course fee (CF) funding at the current rates offered by SkillsFuture Singapore (SSG). For more details, please refer to this page.
  • Individuals aged 40 and above may also be eligible for the SkillsFuture Mid-Career Enhanced Subsidy (MCES). For more details, please refer to this page.
  • Singaporeans may also use their SkillsFuture credit to offset course fees payable. For more details, please refer to this page.​

Modules

Learners would be able to integrate sensor concepts and its key components in the physical layouts and interfaces.

Learners would be able to identify the methods for type of data collected from IOT devices.

Learners would be able to integrate steps to operate IoT data using network management tools.

Learners would be able to identify the application of sensors and appropriate components to ensure network interconnectivity.

Learners would be able to integrate simulation software to model and test network interconnectivity among devices and interfaces.

Learners would be able to implement sensor networks to test embedded systems interfaces and products.

Learners would be able to distinguish IoT system inetrface components and its implementation of real application.

Learners would be able to examine functions, operations and deployment of cloud-based databases.

Learners would be able to discover sensor network security and conduct troubleshoot failures.

Request More Information

Contact a programme advisor by calling
+65 6580 7700

It is important to remember, there are no overnight successes. You will need to be dedicated, single-minded, and there is no substitute to hard work

Mukesh Ambani, (India)

A real businessman or entrepreneur has no enemies. Once he understands this, the sky’s the limit

Jack Ma, (China)

Failure should not be seen as a failure but as a challenge.

Tadashi Yanai (Japan)