This course will provide reskilling and upskilling trainings to existing workers, helping them to acquire new skills in order to leverage on the new employment opportunities from industries such as advanced manufacturing, electronics, engineering services, infocomm, oil & gas and many others. Participants will gain knowledge and skills in computer engineering, with emphasis in the areas of industrial Internet-of-Things (IIOT) and intelligent automation towards Operational Technology (OT) - Information Technology (IT) integration.
At least 3 ‘O’ Level passes
and 3 years of relevant working experience OR
GPA ≥2.0 OR
GPA ≥1.5 and 1 year of relevant working experience
GPA ≥3.5 OR
GPA ≥3.0 and 1 year of relevant working experience OR
|Higher Nitec in Technology/Services||
GPA ≥2.0 and 1 year of relevant working experience OR
|Nitec in Technology/Services||
GPA ≥3.5 with 1 years of relevant working experience OR
Relevant WSQ Qualification with 3 year of relevant working experience and WSQ Workplace Literary Statement of Attainment (SOA) (Level 6) AND Workplace Numeracy Statement of Attainment (SOA) (Level 6)
Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.
The intended target audience is non-diploma working professional who is currently working in or aspiring to join the Advanced Manufacturing, Electronics, Engineering Services, Infocomm sector. This course will provide participants opportunities to learn and apply knowledge in traditional computer engineering areas as well as emerging technologies such as Industrial Internet of Things, Artificial Intelligence and Machine Learning. Participants will be able to contribute in the converging trends of Operational Technologies - Information Technologies.
To be awarded the Diploma in Engineering (Computer Engineering), participants are required to complete a total of 5 modular certificates (MCs). A certificate will be issued upon successful completion of each MC.
Modular Certificate in Computing & Programming
This module provides knowledge and skills in the fundamentals of hardware and software. It encompasses digital and analog building blocks for embedded systems; and computational building blocks such as data structures, algorithms and coding for problem solving.
|ECEE101||Electronics & Digital Principles
This module provides students with basic knowledge of electronics. Fundamental concepts in digital electronics and electronics devices are taught through analysis of basic functional circuits and their applications. With the knowledge, students would be able to understand the functionality of the devices in common applications. This subject also aims to develop in them proficiency in checking and testing the parameters of these devices, as well as in the analysis of their application in simple digital and analog electronic circuits.
|ECSE101||Computing & Programming
It encompasses the process of decomposing a problem into a sequence of smaller abstractions which are implemented in software in a structured top-down approach. Software implementation includes the process of designing, writing, testing, and debugging program code.
|CCE1C01||Data Structures & Algorithms
This subject introduces the fundamentals of recursion and data structures in solving problems using a programming language. Topics covered include stacks, queues and linked lists. Searching techniques and sorting algorithms are also covered.
This module covers the basic architecture of microcontrollers and the interfacing of various input and output devices to the microcontroller. It provides knowledge and skills on programming the microcontroller to interface with the real world through the input and output devices.
This module provides you with working knowledge on microcontroller architecture, the features and characteristics of the internal peripherals in the microcontroller, such as interrupts, Timer and Pulse Width Modulation in order to design and implement an embedded system that involves hardware and software interfacing. The subject also covers the features of evolving microcontrollers that support Industrial Internet of Things (IIoT) applications.
|ECCC103||Data Acquisition & Networking
This module equips student with the knowledge and skills essential for data acquisition from the real world through sensors for further processing and control of equipment, as well as integration with other subsystems through networking. Commonly used industrial connectivity standards and fieldbuses, as well as relevant hardware and software interfaces suitable for such integration, are also covered.
This module provides you with the basic knowledge of designing and implementing of a database, and the appropriate retrieval of the data through queries from the client application through a business logic layer.
|ECCC104||Mobile Applications Development
This module covers the development of applications on mobile and wireless computing platforms. It provides an overview of Mobile Web and Mobile Applications, their importance and benefits, as well as the technologies and methodologies for their development, such as the architectures, frameworks, standards, programming languages, design process and tools.
|CAN1C01||Web Application Development
This subject introduces the concepts of web application development. Topics covered include web page design, front-end and back-end web development and web deployment.
|ECMC104||IIOT for Advanced Manufacturing
This subject provides knowledge, skills and design approaches in using embedded systems, sensors, actuators and appropriate data communication technologies such as sensor networks, edge and cloud computing to build and setup an IIOT environment. A systems engineering approach will be adopted, under which you will review key technologies from prior learning for the different levels of the IOT (Internet of Things) stack and figure out how these different levels could be integrated to form complete IIOT systems in Advanced Manufacturing.
|ECCC102||Industrial IoT Analytics
This subject provides the essential concepts and skills needed for implementing digital transformation in smart manufacturing plants. It covers the application of industrial software platforms to wirelessly interconnect sensors, Internet of Things (IoT) devices and equipment. The students will learn to develop dashboard for acquiring, analyzing and displaying data that is commonly found in Advanced Manufacturing. Modern approaches in activation of hardware and software responses when interventions are required for process improvement or corrective actions are also covered in detail.
This subject introduces the security and privacy issues involved in the implementation of Internet of Things (IoT) applications and services. Topics covered include cryptography, capability, access-control mechanisms, authentication models and privacy support through data abstraction, integration and data synchronisation.
|CAA1C04||Data Visualisation & Analytics
This subject covers the data analytics lifecycle, including gathering, cleaning, processing and visualizing of data. Exploratory data analysis methods, descriptive and predictive analytics and the presentation of insights will also be covered.
This module provides you with basic knowledge and hands-on digital transformation skills on rapid multi-experience application development and integration of users, tasks and systems towards enhancing productivity, human augmentation and automatic data-driven decision-making. It covers techniques on how to leverage on data from information systems and IoT devices for agile response and productivity. This subject will enable you to automate data-driven decision making through integration of advanced analytics and learning models to applications.
|ECSE106||Artificial Intelligence Applications
This module provides students with the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML). It covers knowledge and skills in AI techniques and tools to build intelligent learning models from real-world data, through training, testing, validation and optimisation. Through hands-on group projects, they will build AI-based applications to add intelligence to existing systems.
Modes of Assessment
- Written and Practical tests
Graduates of this course can look forward to taking up the following types of positions:
Assistant Equipment Engineer/Assistant Process Engineer/Assistant Integration Engineer/Assistant Product Engineer/Associate Embedded Systems Engineer in the electronics and engineering related sectors
Assistant Software Engineer/Data Analyst/Associate Data Engineer in the engineering and infocomm related sectors
|Intake Info||Application Closing Date||Course Duration|
18 October 2021
03 May 2021 - 05 July 2021
8.30am – 6.00pm (Mon – Fri)
Our office is open for appointment only on Mon – Wed, please contact email@example.com / 6788 1212 to make an appointment if you would like to visit us.
We apologise for not able to attend to walk-ins currently.
Closed on Sat, Sun & Public Holidays
- Website: https://www.tp.edu.sg/tsa
Temasek SkillsFuture Academy
East Wing Block 1A,
Level 3, Unit 81
21 Tampines Ave 1
Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.