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

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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


  • 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


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
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
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)
Mobile Device System Architecture (View the Introductory Video here)
EIE4121 Machine Learning in Cyber-security
Deep Learning and Deep Neural Networks (View the Introductory Video here)
Healthcare Technology
Modern Robotics
Power Conversion Technology for Energy Harvesting
Capstone Project
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
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)
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)
Deep Learning with Photonics 
Photonic System Analysis 
Information Photonics 
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.

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