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Bachelor of Science (Hons) Degree in Artificial Intelligence and Information Engineering

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Entrance Year Sept 2023

Programme Code 42481-AIE

Stream Code 42481-AIE

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 Bonnie Law
BEng, PhD, SrMIEEE
Email: ennflaw@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.
 

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

Following the rapid expansion and dissemination of information and smart communication technologies in our daily life, professionals in the areas of information engineering and artificial intelligence are in great demand.  This programme aims at developing students into artificial intelligence specialists and professionals in information engineering.  The programme covers technological innovations in artificial intelligence and information engineering, focusing on machine perception and data science.  Specifically, the programme aims at producing graduates with the following attributes:

  • a wide range of professional knowledge and skills relevant to Artificial Intelligence and Information Engineering.  These include technological innovations in artificial intelligence and information engineering, focusing on machine perception and data science, as well as applications related to information engineering, such as computer vision, healthcare technology, bioinformatics, natural language processing, and automatics robotics,
  • creativity and innovation,
  • adaptability to changing technology and society, and
  • all-rounded attributes.

 

Programme Characteristics and Intended Learning Outcomes

The Programme offers a good mix of basic theory, hands-on practice and application examples.  In the latter part of Year Three, students make use of the knowledge that they have acquired to conduct an artificial intelligence-based Integrated Project.  They can focus on selected areas by choosing relevant electives.  In the Final Year, students must complete a Capstone Project.

 

Students can join an exchange programme that allows them to study in an overseas institution for one semester.  Financial subsidies may be provided by the Faculty of Engineering.  The exchange programme offers an excellent opportunity for students to study abroad and broaden their horizons and allows them to appreciate the cultures of other countries.

 

On successful completion of the Programme, students will be able to:

 

Category A Professional/Academic Knowledge and Skills

1. Understand the fundamentals of mathematics, 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 artificial intelligence and information engineering.

5. Use modern engineering/IT tools appropriate to artificial intelligence and information engineering.

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. Recognize social, professional and ethical responsibility.

9. Communicate effectively.

10. Recognize the need for and engage in life-long learning.

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

EIE4108

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

EIE4118

Intrusion Detection and Penetration Test (View the Introductory Video here)
EIE4119
Mobile Device System Architecture (View the Introductory Video here)
EIE4121 iMachine 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

EIE4402

Power Electronics (View the Introductory Video here)
EIE4413 Digital Signal Processing
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

EIE4449

Optical Communication Systems and Networks (View the Introductory Video here)

MSc Subjects

EIE509

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

EIE546

Video Technology (View the Introductory Video here)
EIE553 Security in Data Communication (View the Introductory Video here)
EIE557 Computational Intelligence and its Applications

EIE558

Speech Processing and Recognition
(View the Introductory Video here)
EIE560
Microelectronics Processing and Technologies 
EIE563 Digital Audio Processing
EIE566 Wireless Communications

EIE567

Wireless Power Transfer Technologies (View the Introductory Video here)

EIE568

IoT - Tools and Applications (View the Introductory Video here)

EIE569

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

EIE587

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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