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[NP-DEE1] Diploma in Engineering (Electrical) (DEE1)

Offered by School of Engineering

Part-time Diploma

About Course
Course Structure
Entry Requirements
Financial Matters
Course Schedule
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Area of interest
Electrical & Electronic Engineering, Engineering

About Course

Course Objectives

The main objective of the part-time Diploma in Engineering (Electrical) is to enable working adults to upgrade their knowledge and skills required by the electrical engineering industry. This course offers to the students a broad-based curriculum in electrical, electronics, instrumentation and power engineering.

Course Description

The Diploma in Engineering (Electrical) is a part-time CET course, consist of the following modules:
1) Internet of Things (60hrs)
2) Quality Systems & Data Analytics (60hrs)
3) Project Management in Digitalization (60hrs)
4) DC Technology & Applications (60hrs)
5) AC Technology & Applications (60hrs)
6) Basic Electronics & Applications (60hrs)
7) Digital Electronics & Applications (60hrs)
8) Analog Electronics & Applications (60hrs)
9) Power Electronics & Applications (60hrs)
10) Industrial Control & Automation (60hrs)
11) Electrical Machinery (60hrs)
12) Sensors & Instrumentation System (60hrs)
*Elective: choose either 5A, 5B or 5C
13) *5A-Electrical Circuit Analysis (60hrs)
14) *5A-Distribution System Design (60hrs)
15) *5A-Distribution System Protection (60hrs)
16) *5B-Electrical Circuit Analysis (60hrs)
17) *5B-PV Cell and Module (60hrs)
18) *5B-PV System Design & Integration (60hrs)
19) *5C-AI for Manufacturing Engineer (60hrs)
20) *5C-Data Handling and Information Visualisation (60hrs)
21) *5C-Machine Learning Systems for Engineers (60hrs)

Trainer's Profile

Or Lye Chin, James

James Or holds a BEng and MEng from NUS/NTU in Electrical and Electronic Engineering.

James’s expertise in university projects is in the areas of noise cancellation using adaptive filtering, and the study of sorting algorithms using C in Unix machine.

Prior to joining Ngee Ann Polytechnic, James worked in areas related to Remote Sensing, Image Processing, Neural Networks, Micro-controllers and programming in multi-processor embedded system.

James has completed some consultancy projects related to distributed control system nodes using Neuron chips for building control, home automation and industrial applications.

James has published some papers when doing project works and while pursuing master degrees in IFAC Workshop on Distributed Computer Control System Seoul Korea and IEEE ICARV Singapore on image processing using Transputers.

James is currently a lecturer in Ngee Ann Polytechnic teaching electrical engineering modules. His areas of teaching are Electronics, C Programming, Distributed Control Systems, Electrical Installation Design, Electrical Circuit Analysis, Programmable Logic Controllers and Microcontroller. His role in course management of CET Part-time electrical engineering diploma has enabled him to use programming languages like VBA and Python to aid in his works in management, grouping and enrolment.

Course Structure

TPG course reference No.

TGS-2023020969,TGS-2023035615,TGS-2023035619,TGS-2023035616,TGS-2023035618,TGS-2023035621,TGS-2023035617,TGS-2023035620

Diploma in Engineering (Electrical)

Certificate in Digitalisation & Project Management
Internet of Things (NP-013189)
This module aims to equip students with a basic knowledge about Internet of Things (IoT). Students will learn the system architecture of a typical IoT system with a good understanding on functionalities of its building blocks. They will acquire the necessary skills and knowledge through practical exercises and lectures/tutorials. Upon completion of the module, students are equipped with knowledge and skills to design and implement a simple IoT system prototype with off-the-shelf equipment/platforms/services.
Project Management in Digitalization (NP-0913PMD)
This module aims to equip students with knowledge of project management in engineering projects. In particular, modern day digital technologies will be introduced in the project management considerations. Students will learn the process of coordinating a project team and its resources to successfully execute a specific project from start to finish. Student will learn some project management tools which includes planning the activities, measuring the progress, allocating resources, identifying constraints and completing the task while respecting those constraints.
Quality Systems & Data Analytics (NP-0912QSDA)
This module provides the students with the necessary knowledge and skills to apply quality system management principles, statistical data analysis techniques, quality improvement tools, manufacturing management concepts in their workplace. Topics covered include Quality Management & Process Improvement; Six Sigma Methodology for defect reduction; Fundamentals of Statistics & Probability; Process Capability Analysis, Statistical Hypothesis Testing; Root Cause Analysis; Repeatability & Reproducibility for measurement system analysis; Design of Experiments for optimizing and improving products and processes; Statistical Process Control for quality assurance. Learners will be equipped with the knowledge on ethical use of data.
Certificate in Electrical System Design Protection Elective
Distribution System & Protection (NP-010350)
This module provides the students with practical knowledge of high voltage (HV) distribution system (up to 22 kV), the electrical equipment used, the protection and safety schemes/devices implemented for the protection of both the equipment and working personnel.
Extensive working examples of practical HV distribution equipment such as switchgear, transformer, power cable, protection system and safety earthing practice are included. Fault level calculation (using per unit method) of typical radial network and the protection setting calculation of both DTL and IDMTL over-current and balanced earth-fault protection will be covered.
The participants will learn the design of typical HV distribution system, the selection and the testing and commissioning of HV equipment, the calculation of fault level and protection setting to achieve relay co-ordination and discrimination, and the necessary safety procedures and measures required in the operation and maintenance of HV equipment.
Distribution System Design (NP-010349)
This module focuses on electrical installation design for residential, commercial and industrial premises. On completion of the module, students will be able to understand the elements of the electrical distribution in Singapore and the techniques used in the design. Topics such as sizing of protective devices and cables, design of electrical layout and single-line diagram will be covered. They will also be taught on specific issues such as concept of discrimination in circuit protection, earthing and design requirements of CP5 and good engineering practices.
Electrical Circuit Analysis (NP-010018)
This module introduces students to the concepts and theorems which are needed in the field of electrical engineering technology. The topics include circuit analysis and network theorems, single-phase and three-phase system analysis, power measurement and power factor correction, the "a" operator and per unit system, harmonics, and transients. The module provides the foundation to equip students in analysing electrical circuits, applying the relevant theories and techniques to solve and troubleshoot circuit problems, and designing electrical systems.
Certificate in Fundamentals of Electrical & Electronic Applications
AC Technology & Applications (NP-0922ATA)
This module aims to provide students with the fundamental knowledge and skills to understand the principles and operations of ac systems and devices in the industry. It covers single phase and three-phase systems, operations of power transformer, ac motor, ac generator and their applications. The module will also introduce students to electrical safety and proper use of modern measuring equipment for the industries.
Basic Electronics & Applications (NP-013179)
This module aims to introduce students the basics of electronic devices and some common applications. It includes an introduction to semiconductor physics as well as the construction, operating principles and common applications of diodes and transistors. Electronic circuits covered include rectifiers, voltage regulators, waveform clippers and surge protection. Calculations of average and root-mean-square (rms) values of periodic signals are also taught.
On completion of the module, students should be able to analyze and calculate the electrical parameters of diode and transistor circuits. They should have acquired sufficient knowledge and skills to design simple Zener voltage regulator as well as transistor circuits as an electronic switch or as a voltage amplifier.
DC Technology & Applications (NP-013177)
This module provides the students with the necessary knowledge and skills in solving dc network by using Ohm’s Law, Kirchhoff’s Law and Thevenin Theorem. Topics covered include series circuits, parallel circuits and series-parallel circuits which are arranged in easy to understand style. Applications sections are included to establish a link between theoretical concepts of the topics and the real, practical world. Examples of the application section include how series circuits can be very effective in the design of safety equipment, how parallel circuits configuration is done in basic household wiring.
Certificate in Instrumentation & Control for Electrical Systems
Electrical Machinery (NP-010019)
This module aims to provide participants with the basic concepts and working principles of common type of electrical machines and drives used in the industries. The module will cover the construction, working principles, performance characteristics, speed control and industrial applications of transformers, motors and generators.
Industrial Control & Automation (NP-010155)
This module will train students in the design and wiring of electrical control systems. It covers various motor starters connection and sequential motor control circuits, The module will also introduce students to programmable logic controllers, control devices and relevant window-based programming software. Students will learn the design of ladder diagrams for programming the programmable logic controller for industrial applications.
Sensors & Instrumentation System (NP-010156)
The aim of this module is to introduce students to the fundamental concepts of measurements, sensors and transducers, signal conditioning and data acquisition. Students will be taught the principles of operations of a variety of sensors and transducers including temperature sensors, strain gauges, voltage and current transducers, and LVDT transducers etc. Signal conditioning circuits using op-amp, Wheatstone bridge and low pass filter will also be included. Students will have the hands-on practice on sensors characterisation, build and test sensor circuits and simple data acquisition using LabVIEW, a virtual instrumentation software.
Certificate in Machine Learning and Data Visualization Elective
AI For Manufacturing Engineer (NP-0957AME)
This module introduces students with the technical skills to apply machine learning algorithms and deploying practical Artificial Intelligence (Al) models with an industrial edge controller for anomaly detection and predictive maintenance. The course will also cover the essential concepts and background for data analysis on supervised and unsupervised machine learning models and their applications in advanced manufacturing.
Data Handling and Information Visualisation (NP-0958DHIV)
This module covers data importing, cleaning, interpreting and visualizing. The students will learn advanced methods with Tableau software. This module deals with methods used to manage and analyse real world large datasets and present the results in visually understandable way. It helps to solve the complex engineering challenges present in the data. In this module, students will be learning new techniques and tools in Tableau to become more resourceful for the engineering industry.
Machine Learning Systems for Engineers (NP-0959MLSE)
This module will help students to apply AI techniques to their fields in order to get accurate solutions. This module covers the basics of artificial intelligence, machine learning and deep learning. It deals with different types of learning techniques like: supervised, unsupervised and reinforced. The concept of features, data handling, training and testing will be explained. It focuses more on the theory, design and applications of artificial neural networks (ANN)
Certificate in PV System Technology Elective
Electrical Circuit Analysis (NP-010018)
This module introduces students to the concepts and theorems which are needed in the field of electrical engineering technology. The topics include circuit analysis and network theorems, single-phase and three-phase system analysis, power measurement and power factor correction, the "a" operator and per unit system, harmonics, and transients. The module provides the foundation to equip students in analysing electrical circuits, applying the relevant theories and techniques to solve and troubleshoot circuit problems, and designing electrical systems.
PV Cell And Module (NP-0955PCM)
This module covers the basics from light to semiconductor and PV cell/module design and characterization. Topics include the solar energy, semiconductor and junctions, working principles of PV cell, factors that can affect the PV cell’s output, design considerations of PV cell/module, new cell and module technologies, general PV module failure modes and detection methods. The core IEC standards such as IEC61215/61730 and UL61730 PV modules will also be introduced. Students, work in group, to analyse specification and performance of solar PV modules available in the local market.
PV System Design & Integration (NP-0956PSDI)
This module introduces the various components and their functionalities in the formation of a PV system. It also provides the guidelines for the selection and sizing of these constituents to allow their proper compatibility to operate as an integrated system. Stand-alone and grid-tied systems will be covered. Practical hands-on sessions will also be included to ensure trainees could do experiments and make measurements on PV modules, inverters, power flow, equipment protection, system performance, and battery management. Design, installation, testing, and commissioning of PV system according to SS638, SS601, and Power-Grid Transmission Code and relevant IEC codes will also be discussed in this module. Students, work in group, to design a grid-connected PV system.
Certificate in Power Electronics for Embedded Systems
Analog Electronics & Applications (NP-013180)
This module aims to provide students with knowledge of the operating principles and the design characteristics of commonly used analogue devices and circuits. It also illustrates their applications in various practical circuits.
Digital Electronics & Applications (NP-013183)
This is a hands-on intensive module designed to help the students to design and build application projects based on digital electronics. It covers the fundamentals of digital electronics, the basic principles and techniques of digital system design. The main topics covered are Number systems, Boolean Algebra, Combinational logic circuits, Flip-flops and multivibrators and IC Counters.
Power Electronics & Applications (NP-010020)
This module aims to provide participants with broad-based understanding and hands-on practical experience on power electronics converters and some of their applications.

Participants get to learn the principles of operation and waveform analysis of power converters, including speed control of AC / DC motors, found in motor drives of MRT trains, escalators, electric cars and ship propulsion in the industries, as well as in applications like light dimmers, instant water heaters, blenders and many others.

Entry Requirements

Condition 1

Highest qualification

GCE ‘O’ Level grade:English Language (Grade 1-7)
and

Highest qualification

GCE ‘O’ Level grade:Mathematics (Grade 1-6)
and

Highest qualification

GCE ‘O’ Level grade:Science (Grade 1-6) And Working experience:At least 1 year of relevant work experience.
or

Condition 2

Highest qualification

NITEC with GPA >= 3.5
or

Condition 3

Highest qualification

NITEC with GPA >= 3.0 And Working experience:At least 1 year of relevant work experience.
or

Condition 4

Highest qualification

Higher NITEC with GPA >= 2.0
or

Condition 5

Highest qualification

Higher NITEC with GPA >= 1.5 And Working experience:At least 1 year of relevant work experience.
or

Condition 6

Highest qualification

NITEC in Technology with GPA >= 3.5 And Working experience:At least 1 year of relevant work experience.
or

Condition 7

Highest qualification

NITEC in Services with GPA >= 3.5 And Working experience:At least 1 year of relevant work experience.
or

Condition 8

Highest qualification

Higher NITEC in Technology with GPA >=2.0 And Working experience:At least 1 year of relevant work experience.
or

Condition 9

Highest qualification

Higher NITEC in Services with GPA >=2.0 And Working experience:At least 1 year of relevant work experience.
or

Condition 10

Highest qualification

Relevant Advanced WSQ Certificate (or higher) and Level 6 WSQ Workplace Literacy SOA and Workplace Numeracy SOA
and

Highest qualification

- And Working experience:At least 1 year of relevant work experience.
or

Condition 11

Working experience

Applicants with at least 2 years of relevant working experience may apply for the course

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Certificate in Digitalisation & Project Management Certificate in Fundamentals of Electrical & Electronic Applications Certificate in Power Electronics for Embedded Systems Certificate in Instrumentation & Control for Electrical Systems Certificate in Electrical System Design Protection Certificate in PV System Technology Certificate in Machine Learning and Data Visualization Total course fee
Full Course fee $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $38,867.22
PR Sponsored by SME $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $4,047.19
Singapore Citizen Sponsored by SME $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $4,047.19
Singapore Citizen Aged 40 & Above $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $578.17 $4,047.19
Singapore Citizen Aged Below 40 $832.87 $832.87 $832.87 $832.87 $832.87 $832.87 $832.87 $5,830.09
Singapore PR $2,220.98 $2,220.98 $2,220.98 $2,220.98 $2,220.98 $2,220.98 $2,220.98 $15,546.86
Long-Term Visit Pass Plus $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $5,552.46 $38,867.22

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The first payment needs to be made after accepting the offer.

Allowed payment by

The course fee allows to be paid 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$2.11,subject to GST,fees payable S$2.30 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
  • Other Fees S$7.43,subject to GST,fees payable S$8.10 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

Class Day(s): Tue, Wed & Fri
Time: 6:30pm - 10:00pm
Delivery mode: Face-to-face & Home-based learning (Async & Sync)
Registration Period
02 Jan 2025 - 15 Feb 2025
Course Date
21 Apr 2025 - 30 Sep 2027
Schedule Info
Training days: 3 weekdays per week ( Typical: Monday, Tuesday & Friday)
Class time: 1830 to 2200
Mode of training: Classroom & Synchronous eLearning

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Mode of Training
Classroom
Venue
NGEE ANN POLYTECHNIC