About Course
Course Objectives
The course prepares trainees to gain in-demand skills and expertise in robotics engineering for them to be able to design an intelligent robot that can see, speak, “think”, and perform simple tasks traditionally carried out by a human. Robotics engineering can play an important role in various industries to augment workforce capabilities, from manufacturing & logistics to environment, and hospitality & healthcare to construction.Course Description
The SDRE consists of two post-diploma certificates (PDCs), with a total of 7 modules:• Robotics with Python
• Robotics with C++
• Robot Operating System (ROS) & Robotics
• Autonomous Robot Navigation
• Machine Learning for Robotics
• Computer Vision & Deep Learning for Robotics
• Robotics Real-world Project
Trainer's Profile
Hui Tin Fat
Hui Tin Fat holds a BSc in Electronic Engineering and an MSc in Telematics, both from the University of Essex, UK. With over 30 years of experience in the design and development of microcontroller-based embedded systems, Tin Fat has specialised in robotics and automation systems. In the past five years, Tin Fat has focused on ROS-based robotic systems. He has also been actively involved in consultancy and industrial collaboration projects. These include supplying 20 Advanced Mobile Robot Kits to ITE West, enhancing point-of-sale systems for a local company, developing a canopy cleaning robot for a smart campus, creating a multipurpose disinfection robot for a polyclinic, and designing plant-health monitoring robots for NParks. Additionally, Tin Fat has developed mobile apps for campus autonomous bus shuttle services and construction robots for local SMEs.
Tin Fat’s professional achievements include being a nominee for the National Youth Award, receiving the Singapore Award for Excellence from the Singapore Totalisator Board, the National Day Commendation Award, and the Polytechnic Teaching Award.
Tin Fat’s research contributions are published in renowned journals. Notable publications include "Introducing a Healthcare-Assistive Robot in Primary Care: A Preliminary Questionnaire Survey" in Frontiers in Robotics and AI, and "Early Detection of Infestation by Mustard Aphid, Vegetable Thrips, and Two-Spotted Spider Mite in Bok Choy with Deep Neural Network (DNN) Classification Model Using Hyperspectral Imaging Data" in Computers and Electronics in Agriculture.
Currently, Tin Fat is the module leader of Embedded Robotics, where he imparts knowledge and skills in ROS-based navigation robots to students in the PET Electronic & Computer Engineering course.
Edwin Ho Hui Leong
Edwin Ho holds a Bachelor's and a Master’s degree in Mechanical and Production Engineering from Nanyang Technological University.Edwin's research passion centres around industrial robots, autonomous systems, and computer vision, leading to the development of various robotic applications. Notably, he served as the principal investigator for a Decentralised GAP Funded project.
Since 2010, he has been a lecturer at Ngee Ann Polytechnic's School of Engineering, teaching final year students about Unmanned Systems and industrial Robotics. Edwin also leads the Robotic Research and Innovation Centre, leveraging his expertise from prior roles focusing on Machine Design, Automation, and advanced mechatronic systems where precision motion control and nanometric actuated motions are key requirements. Edwin also teaches “ROS for industrial Robots” to short course CET learners and is a module leader for “Robot Operating System and Robot Applications” in Specialist Diploma for Robotic Engineering.
Course Structure
TPG course reference No.
TGS-2021005342
Specialist Diploma in Robotics Engineering
Entry Requirements
Condition 1
Highest qualification
Local polytechnic diploma in any engineering discipline.Condition 2
Highest qualification
University Degree in any engineering discipline where the medium of instruction is English.Financial matters
Course fees payable (incl. GST & excl. supplementary fee)
Description | Post-Diploma Certificate in Robotics Programming Fundamentals | Post-Diploma Certificate in Intelligent Autonomous Robotics | Total course fee |
---|---|---|---|
Full Course fee | $2,825.28 | $2,825.28 | $5,650.56 |
PR Sponsored by SME | $294.19 | $294.19 | $588.38 |
Singapore Citizen Sponsored by SME | $294.19 | $294.19 | $588.38 |
Singapore Citizen Aged 40 & Above | $294.19 | $294.19 | $588.38 |
Singapore Citizen Aged Below 40 | $423.79 | $423.79 | $847.58 |
Singapore PR | $1,130.11 | $1,130.11 | $2,260.22 |
Long-Term Visit Pass Plus | $2,825.28 | $2,825.28 | $5,650.56 |
GST rate
Payment option
Allowed payment by
Post-Secondary Education Account (Adhoc withdrawal form);
Post-Secondary Education Account (Standing order form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Nett Supplementary Fees Payable
- GPA Insurance Fee S$2.13,subject to GST,fees payable S$2.32 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
- Other Fees S$7.50,subject to GST,fees payable S$8.18 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
Refund and withdrawal policy
- Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
- Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
- Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.
Course
Schedule
Time: Evening (from 6:30pm to 10.00pm)
Delivery Mode: Face-to-face & Home-based Learning (Async & Sync)