Bachelor of Engineering (Hons) Degree in Electronic Systems and Internet-of-Things

Entrance Year Sept 2023
Programme Code 42481-ESI
Stream Code 42481-ESI
Mode of Study Full-time
Normal Duration 4 years
Programme Intake 68 (for the whole scheme)
Fund Type Government-Funded
Credits Required for Graduation 124 (plus training credits)
Programme Leaders
Dr K.H. Loo
BEng, PhD, MIEEE
email: kh.loo@polyu.edu.hk
Remarks
- The credit requirements of the programme are indicative only. They are subject to review.
- Students can take a number of extra electives to earn a Minor Award in areas such as applied mathematics, accountancy, business, finance or management, among others.
- The option of Secondary Major in Artificial Intelligence and Data Analytics (AIDA) is available to the students of BEng (Hons) in Internet-of-Things (a variant of BEng (Hons) in Electronic Systems and Internet-of-Things). Admission to the Secondary Major is on competitive basis and subject to a different credit requirement for graduation. Please see "Secondary Major Details" section for more details.
Entry Scholarship
- To give encouragement and recognition to HKDSE students with outstanding academic performance, and to support their studies at The Hong Kong Polytechnic University (PolyU), the Department of Electronic and Information Engineering (EIE) at PolyU launched the “EIE Academic Entrance Scholarship for Outstanding HKDSE Admittees” in the 2016-17 academic year. Details of the scholarship are given in the information sheet, which can be viewed here.
Aims and Characteristics
Programme Aims
The proposed programme aims at developing students into professionals in the fields of electronic and communication engineering with specialisms in the Internet-of-Things (IoT). The programme covers the leading edge technologies in electronic engineering, with a special focus on IoT and related applications.
This Programme aims at producing graduates with:
1. a wide range of professional knowledge and skills relevant to Electronic Systems and Internet-of-Things. These include artificial intelligence of things, robotics, sensor technologies, electronic devices, and their associated software to sense, measure, interpret, connect, and analyse data;
2. creativity and innovation;
3. adaptability to changing technology and society; and
4. all-rounded attributes.
Programme Characteristics and Intended Learning Outcomes
This programme emphasises both theory and applications. The curriculum includes the following components:
- lectures;
- tutorials;
- hands-on laboratory classes;
- Industrial Centre training;
- projects (individual and group);
- presentations; and
- various industry placement opportunities.
On successful completion of the programme, the students will be able to:
Category A Professional/Academic Knowledge and Skills
1. Understand the fundamentals of science and engineering and have the ability to apply them.
2. Design and conduct experiments, as well as to evaluate the outcomes.
3. Design systems, components and processes to meet given specifications and constraints.
4. Identify, formulate and solve problems relevant to Electronic Systems and Internet-of-Things.
5. Use modern engineering/IT tools appropriate to Electronic Systems and Internet-of-Things practice.
6. Know the contemporary issues and understand the impact of engineering solutions in a global and societal context.
Category B Attributes for All-roundedness
7. Work with others collaboratively in a multi-disciplinary team and have a knowledge of leadership.
8. Recognise social, professional and ethical responsibility.
9. Communicate effectively.
10. Recognize the need for and engage in life-long learning.
Students may choose to engage in overseas exchange schemes and earn recognised credits in a university outside of Hong Kong for one semester.
The programme also provides workplace training opportunities for students to gain work experience within and outside Hong Kong through Work-Integrated Education (WIE).
Subject Syllabi
EIE1D02 |
Electronic Music: The Impact of Technology on Digital Lifestyle (View the Introductory Video here) |
EIE1D03 | Artificial Intelligence and Science Fiction |
EIE1D04 | Cyber Security Essentials |
EIE1005 | Fundamental AI and Data Analytics |
EIE2S02 | Promoting Digital Literacy in Developing Societies |
EIE1005 | Fundamental AI and Data Analytics |
Undergraduate Programme Subjects | |
EIE1003 | Foundations of Data Science |
EIE1004 | Introduction to Information and Artificial Intelligence Engineering |
EIE2100 | Basic Circuit Analysis |
EIE2101 | Basic Circuit Analysis |
EIE2102 | Basic Electronics |
EIE2105 | Digital and Computer Systems |
EIE2108 | Fundamentals of Internet and Multimedia Technologies |
EIE2110 | Basic Circuit Analysis and Electronics |
EIE2111 | Computer Programming |
EIE2112 | Foundation Techniques in Artificial Intelligence |
EIE2113 | Introduction to Internet of Things |
EIE2211 | Logic Design |
EIE2261 | Logic Design |
EIE2282 | Information Technology |
EIE2302 | Electricity and Electronics |
EIE2901/IC2114 | Industrial Centre Training I for EIE |
EIE2902/IC2115 | Industrial Centre Training for EIE |
EIE2903/IC2140 | Practical Training |
EIE3100 | Analogue Circuit Fundamentals |
EIE3101 |
Computer Animation (View the Introductory Video here) |
EIE3103 | Digital Signals and Systems |
EIE3105 | Integrated Project |
EIE3106 | Integrated Project |
EIE3109 | Mobile Systems and Application Development |
EIE3112 | Database System |
EIE3117 | Integrated Project |
EIE3120 | Network Technologies and Security |
EIE3123 | Dynamic Electronic Systems |
EIE3124 | Fundamentals of Machine Intelligence |
EIE3127 | Artificial Intelligence of Things |
EIE3128 | IoT Project |
EIE3129 | IoT Security |
EIE3130 | Network Security |
EIE3305 | Integrated Analogue and Digital Circuits |
EIE3311 | Computer System Fundamentals |
EIE3312 | Linear Systems |
EIE3320 |
Object-Oriented Design and Programming (View the Introductory Video here) |
EIE3331 | Communication Fundamentals |
EIE3333 | Data and Computer Communications |
EIE3343 | Computer Systems Principles |
EIE3360 | Integrated Project |
EIE3373 | Microcontroller Systems and Interface |
EIE3901/IC382 | Multidisciplinary Manufacturing Project |
EIE4100 | Computer Vision and Pattern Recognition |
EIE4102 | IP Networks |
EIE4104 | Mobile Networking |
EIE4105 | Multimodal Human Computer Interaction Technology |
EIE4106 | Network Management and Security (View the Introductory Video here) |
Distributed Systems and Cloud Computing (View the Introductory Video here) |
|
EIE4110 | Introduction to VLSI and Computer-Aided Circuit Design |
EIE4113 | Wireless and Mobile Systems |
EIE4114 | Digital Forensics for Crime Investigation |
EIE4116 | Surveillance Studies and Technologies |
EIE4117 | Capstone Project |
Intrusion Detection and Penetration Test (View the Introductory Video here) |
|
EIE4119 |
Mobile Device System Architecture (View the Introductory Video here) |
EIE4121 | Machine Learning in Cyber-security |
EIE4122 |
Deep Learning and Deep Neural Networks (View the Introductory Video here) |
EIE4123 |
Healthcare Technology |
EIE4124 |
Modern Robotics |
EIE4125 |
Power Conversion Technology for Energy Harvesting |
EIE4126 |
Capstone Project |
EIE4127 |
Capstone Project |
Power Electronics (View the Introductory Video here) |
|
EIE4413 | Digital Signal Processing (View the Introductory Video here) |
EIE4428 | Multimedia Communications |
EIE4430 | Honours Project |
EIE4431 | Digital Video Production and Broadcasting |
EIE4432 |
Web Systems and Technologies (View the Introductory Video here) |
EIE4433 | Honours Project |
EIE4435 | Image and Audio Processing |
Optical Communication Systems and Networks (View the Introductory Video here) |
MSc Subjects | |
Satellite Communications - Technology and Applications (View the Introductory Video here) |
|
EIE511 | VLSI System Design |
EIE515 | Advanced Optical Communication Systems |
EIE522 | Pattern Recognition: Theory & Applications |
EIE529 | Digital Image Processing |
Video Technology (View the Introductory Video here) |
|
EIE553 | Security in Data Communication (View the Introductory Video here) |
EIE557 | Computational Intelligence and its Applications |
Speech Processing and Recognition (View the Introductory Video here) |
|
EIE560 |
Microelectronics Processing and Technologies |
EIE563 | Digital Audio Processing |
EIE566 | Wireless Communications |
Wireless Power Transfer Technologies (View the Introductory Video here) |
|
IoT - Tools and Applications (View the Introductory Video here) |
|
Sensor Networks (View the Introductory Video here) |
|
EIE570 |
Deep Learning with Photonics |
EIE571 |
Photonic System Analysis |
EIE572 |
Information Photonics |
EIE573 |
Mobile Edge Computing |
EIE575 | Vehicular Communications and Inter-Networking Technologies (View the Introductory Video here) |
EIE577 | Optoelectronic Devices |
EIE579 | Advanced Telecommunication Systems |
EIE580 | RF and Microwave Integrated Circuits for Communication System Applications |
Channel Coding (View the Introductory Video here) |
|
EIE589 | Wireless Data Network |
MPhil/PhD Subjects | |
EIE6200 | Methodology for Engineering and Scientific Research |
EIE6207 | Theoretical Fundamental and Engineering Approaches for Intelligent Signal and Information Processing |
EIE6811-EIE6813 | Guided Study in Electronic and Information Engineering I/II/III |
EIE621-EIE623 | Special Topics in Electronic and Information Engineering I/II/III |
Note: The subject syllabi contained in this website are subject to review and changes from time to time. The Department of Electronic and Information Engineering reserves the right to revise or withdraw the offer of any subject contained in this website.