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Programme / Major Information

BEng in Information Engineering - Catalogue Term 2019/2020 Sem A
  • MAJOR MANAGEMENT TEAM

    • A/ General Enquiries (First contact line)

     

     

    Tel

    E-mail

    Major Programme Assistant (Student Liaison)

     

     

    Ms Christy Leung

    3442-7719

    kaiwleun@cityu.edu.hk

     

     

     

    Fax No: 3442-0562

     

     

    Web Site: http://www.ee.cityu.edu.hk

     

     

     

     

     

    Student Advisor

     

     

    Ms Allison Ng

    3442-4900

    allison.ng@cityu.edu.hk

     

     

     

    B/ Major Management Team

     

     

     

    Tel

    E-mail

    Associate Head (Undergraduate Programmes)

     

     

    Dr Albert Sung

    3442-9373

    albert.sung@cityu.edu.hk

     

     

     

    Major Programme Leader

     

     

    Prof Andrew C S Leung

    3442-7378

    eeleungc@cityu.edu.hk

     

     

    Associate Major Programme Leader

     

     

    Prof H C So

    3442-7780

    hcso@cityu.edu.hk

     

     

     

    Assistant Major Programme Leader

     

     

    Dr CHUN Y J

    3442-7709

    yjchun@cityu.edu.hk

    Departmental Academic Advisor
    Prof Leung TSANG
    Professor of Electrical Engineering and Computer Science
    University of Michigan

  • Major Intended Learning Outcomes

    1. Aims of the Major

      We aims to give students a balanced understanding of the theory and applications of information engineering, which encompasses networking and telecommunications, algorithms and software, cybersecurity and forensics, artificial intelligence, and big data. It offers all-round education, which nurtures independent thinking, creativity, and various soft skills. Upon completion of the major, graduates will be sufficiently prepared for further studies or employment in a wide range of economic sectors, mainly technology, but also business, banking, finance and trading in Hong Kong and the Asia-Pacific region.


    2. Major Intended Learning Outcome: Demonstrable Outcomes

      On completion of the major, students should have the following demonstrable learning outcomes:

      1. An ability to apply knowledge of mathematics, science and engineering.
      2. An ability to design and conduct experiments as well as to analyze and interpret data.
      3. An ability to design a system, component, or process that conforms to a given specification within realistic constraints.
      4. An ability to function on multi-disciplinary teams.
      5. An ability to identify, evaluate, formulate and solve engineering problems.
      6. Awareness of professional and ethical responsibilities.
      7. An ability to communicate effectively.
      8. Knowledge in contemporary issues and an awareness of the impact of engineering solutions in a broad, global and societal context.
      9. Recognition of the need for life-long learning.
      10. An ability to use necessary engineering tools.


  • List of Core Courses (60 CUs)

    • Course Code Course Title Credit Units
    EE1001 Foundations of Digital Techniques 3
    EE1002 Principles of Electronic Engineering 3
    GE1354 Introduction to Electronic Design 3
    EE2000 Logic Circuit Design 3
    EE2004 Microcomputer Systems 3
    EE2301 Basic Electronic Circuits 3
    EE2302 Foundations of Information and Data Engineering 3
    EE2331 Data Structures and Algorithms 3
    CS2311 Computer Programming 3
    MA2001 Multi-variable Calculus and Linear Algebra 3
    MA3160 Probability and Stochastic Processes 3
    EE3008 Principles of Communications 3
    EE3009 Data Communications and Networking 3
    EE3012 Engineers in Society [see note h] 3
    EE3206 Java Programming and Applications 3
    EE3210 Signals and Systems 3
    EE3301 Optimization Methods for Engineering 3
    EE3315 Internet Technology 3
    EE3070 Design Project 3
    CS3103 Operating Systems 3
    CS3402 Database Systems 3

    EE4096

    EngineeringTraining I

    		0

    EE4097

    Engineering Training II

    		0
    EE4080

    Project or Co-operative Education Scheme: Final Year Project Component

    		6

  • Technical Elective (15 Credit Units)

  • Students are required to take at least FIVE electives of which no more than ONE Level-3 elective should be taken
    Communications and Networking

    Course Code Course Title Credit Units
    EE4014 Business Data Communication Networks 3
    EE4017 Internet Finance 3
    EE4036 Wireless Communications  3
    EE4212 Cryptography and Information Theory  3
    EE4316 Mobile Data Networks 3


    Computer Systems and Information Processing

    Course Code Course Title Credit Units
    CS4482 Advanced Database Systems 3
    EE3209 Data Management Techniques 3
    EE4015 Digital Signal Processing 3
    EE4016 Engineering Applications of Artificial Intelligence 3
    EE4146 Data Engineering and Learning Systems 3
    EE4211 Computer Vision 3
    EE4215 Security Technology 3
    EE4221 Cloud Computing Systems 3
    EE4222 Digital Forensics 3
     


    Software Design and Development

    • Course Code Course Title Credit Units
    CS3391 Advanced Programming 3
    CS4367 Computer Games Design  3
    EE4208 Computer Graphics for Engineers   3
    EE4213 Human-Computer Interaction 3
    EE4216 Modern Web Applications 3
    EE4304 iOS Mobile App Development and Networking 3

    Optional One-year Internship
    Course Code Course Title Credit Units
    EE4081 Professional Internship Program 6

    Students having completed EE4081 Professional Internship Program (6CUs) will take one less elective (3CUs) and are not required to take EE3012 Engineers in Society (3CUs). For those who have completed 12-month internship in EE4081 are not required to take EE4097 Engineering Training II.




Last updated : 31 Oct 2022