Overview

The module will focus on the applications of robotic automation technology and IoT system on smart manufacturing processes. The fundamentals of robotics and mechanism design will be introduced to enable students to implement robotic automation solutions on factory floor. Participants will learn to setup a robotic workcell, carry out offline robot programming and integrate sensors to enhance the capability of the workcell. Internet of things (IoT) will be introduced to enable data acquisition and monitoring of the manufacturing processes.

Teaching Team

What You’ll Learn

After successfully completing this module, the participants will be able to:
  • Understand the fundamentals of robotics, including the anatomy and characteristics of robot manipulators, as well as an overview of robot kinematics.
  • Perform mechanism design and synthesis.
  • Understand and apply human-robot collaboration in the smart factory setting.
  • Perform offline robot programming and simulation to setup robotic workcells for manufacturing process automation.
  • Integrate automated identification & data capture technology including radio frequency identification (RFID) and machine vision into robotic workcell.
  • Understand IoT ecosystem and key components for implementing IoT solutions.
  • Implement sensing and data acquisition through IoT on robotic workcells.
  • Design dashboard to display data stream from IoT devices.

Who Should Attend

  • Production Engineer
  • Manufacturing Engineer
  • Automation Engineer
  • Mechanical Engineer
  • Professionals who are keen to learn about the applications of robotics, automation and IoT technologies in manufacturing industries

SITizens Learning Credits (SLC) - Eligible Course

SIT Alumni: Before registering for courses, please activate your SITizens Learning Credits via the email sent by SIT Alumni Team, on behalf of SITLEARN Professional Development.

CLICK HERE TO APPLY (only for SIT Alumni)
 

Prerequisites

Bachelor degree in Engineering or other relevant degree from a recognized university.


Certificate and Assessment

A Certificate of Participation will be issued to participants who:
  • Attend 75% of the course
  • Undertake non-credit bearing assessment (during course)

A Certificate of Attainment will be issued to participants who:

  • Attend 75% of the course
  • Complete the course and pass the all credit-bearing assessments.

Schedule

Every Monday from 1 March 2021
Day 1: 1 Mar 2021
Topics
Welcome and Registration
Robotic Fundamentals
Tea Break
Robotic Fundamentals (Con’t)
Lunch
Robotic Modeling
Tea Break
Robot Modeling (Con’t)
Quiz/ Q&A
End of Day 1

Day 2: 8 Mar 2021
Topics
Welcome and Registration
Robot Programming
Tea Break
RAPID robot programming language
Lunch
Offline robot programming
Tea Break
Offline robot programming (cont.)
Quiz/ Q&A
End of Day 2
Day 3: 15 Mar 2021
Topics
Welcome and Registration
End-effectors, Mechanism Design and Synthesis
Tea Break
Parallel Robots
Lunch
Parallel Robots (Con’t)
Tea Break
Collaborative Robots
Quiz/ Q&A
End of Day 3

Day 4: 22 Mar 2021
Topics
Welcome and Registration
RFID
Tea Break
RFID (cont.)
Machine Vision
Tea Break
Machine Vision (cont.)
Quiz/ Q&A
End of Day 4

Day 5: 29 Mar 2021
Topics
Welcome and Registration
IoT Ecosystems
Tea Break
Embedded Systems
Lunch
Embedded Sensory
Tea Break
Communications I
Quiz/ Q&A
End of Day 5

Day 6: 5 Apr 2021
Topics
Welcome and Registration
Communications II
Tea Break
Cloud Technology
Lunch
Dashboard Design and Development I
Tea Break
Dashboard Design and Development II)
Quiz/ Q&A
End of Day 6

Exam: 12 Apr 2021

Fees

Category Full Fee After SF Funding After SF Mid-Career
Enhanced Subsidy
Singapore Citizen (Below 40) /
Singapore PR
$5,778.00 $1,733.40 Not Eligible
Singapore Citizen (40 & above) $5,778.00 $1,733.40 $653.40
Non-Singaporeans $5,778.00 Not Eligible Not Eligible
 
Note:
  • All figures include GST. GST applies to individuals and Singapore-registered companies.
  • You can opt for either SkillsFuture Funding or Mid-Career Enhanced Subsidy. Both cannot be combined.

Learn more about funding types available

Terms & Conditions:

SkillsFuture Funding

To be eligible for the 70% training grant awarded, applicants (and/or their sponsoring organisations where applicable) must:
  1. Be a Singaporean Citizen or Singapore Permanent Resident
  2. Not receive any other funding from government sources in respect of the actual grant disbursed for the programme

SkillsFuture Mid-Career Enhanced Subsidy

To be eligible for the 90% enhanced subsidy awarded, applicants (and/or their sponsoring organisations where applicable) must:
  1. Be a Singaporean Citizen
  2. Be at least 40 years old
  3. Not receive any other funding from government sources in respect of the actual grant disbursed for the programme

SIT reserves the right to collect the balance of the programme fees (i.e. the potential grant amount) directly from the applicants (and/or their sponsoring organisations where applicable) should the above requirements not be fulfilled.

SIT reserves the right to make changes to published course information, including dates, times, venues, fees and instructors without prior notice.

Course Series

Find out more about the Modular Certification Courses - Data Engineering and Smart Factory

These modules are stackable towards a Postgraduate Certificate in Data Engineering and Smart Factory (PGCert in DESF) or can be taken individually as a single module as follows:
 

Modules 
  • DSF6010 Application of Data Engineering
  • DSF6020 Operational Excellence for Smart Factory
  • DSF6030 Managing and Leading AI Projects for Smart Factory
  • DSF6040 Application of Robotics & Automation for Smart Factory
Candidates who pass all 4 modules (totalling 24 credits) with a CGPA of ≥ 2.5 will be awarded the Postgraduate Certificate in Data Engineering and Smart Factory by SIT.

Key Info

Venue SIT@Dover, 10 Dover Drive S138683
Time 09:00 AM to 06:00 PM
Date 01 Mar 2021 (Mon) to
12 Apr 2021 (Mon)
Registration Closing on: 18 Jan 2021
Apply Now

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