HEAD・S WELCOME
Dear Students,
Welcome to the Department of Electrical Engineering (EE)! All of us in EE, the faculty, staff, and the EE Programme Management Team are ready to walk you through a transformation journey into the future leaders of technologies.
Achieving the goal is never easy. Conscientiousness and persistence to get most from your studies are the keys to success. The Department is here to provide all the necessary support. The programmes are relevant to the local community as well as having global impacts. Co-curricular initiatives including those career-related are designed to add value to students・ whole-person development, ever considered as important as mastering strong technical knowledge for an outstanding graduate.
We have many successful stories of our graduates. Our faculty and staff are especially proud of our students・ enthusiasm to think big in their career dreams, their achievements in student competitions, and students・ novel and innovative ideas integrated nicely with hands-on experience. We are here to serve you and to provide you with the best resources available.
I am sure your aspiration for a fruitful journey will bring you final satisfaction and unexpected rewards.
Stella Pang
Chair Professor and Head
Department of Electrical Engineering
August 2019
MAJOR MANAGEMENT TEAM
Departmental Academic Advisor
Professor Hugh GRIFFITHS
Thales/Royal Academy of Engineering Chair of RF Sensors
Department of Electronic & Electrical Engineering
University College London
Gower Street, London
WC1E 6BT,
UK
Major Intended Learning Outcomes
- Major Aim
The aim of this major is to provide students with a strong foundation and broad skills in computer and data technologies. Students will be equipped with the theoretical and practical aspects of computer systems. The curriculum encompasses hardware and software design, multimedia technologies, data analytics and security, cloud computing systems, and artificial intelligence. Upon completion of the major, students will be sufficiently prepared for employment, and to pursue postgraduate studies and engage in life-long learning.
- Major Intended Learning Outcome: Demonstrable Outcomes
On completion of the major, students should have the following demonstrable learning outcomes:
- An ability to apply knowledge of mathematics, science and engineering.
- An ability to design and conduct experiments as well as to analyze and interpret data.
- An ability to design a system, component, or process that conforms to a given specification within realistic constraints.
- An ability to function on multi-disciplinary teams.
- An ability to identify, evaluate, formulate and solve engineering problems.
- Awareness of professional and ethical responsibilities.
- An ability to communicate effectively.
- Knowledge in contemporary issues and an awareness of the impact of engineering solutions in a broad, global and societal context.
- Recognition of the need for life-long learning.
- An ability to use necessary engineering tools.
Major Requirements
List of Core Courses (69 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
|
Microprocessor Systems |
3 |
EE2005 Δ |
Electronic Devices and Circuits |
3 |
EE2331 |
Data Structures and Algorithms |
3 |
CS2311 |
Computer Programming |
3 |
MA2001 |
Multi-variable Calculus and Linear Algebra |
3 |
EE3001 |
Foundations of Data Engineering |
3 |
EE3009 |
Data Communications and Networking |
3 |
EE3012 |
Engineers in Society |
3 |
EE3070 |
Design Project |
3 |
EE3206 |
Java Programming and Applications |
3 |
EE3210 |
Signals and Systems |
3 |
EE3211 |
Modelling Techniques |
3 |
EE3220 |
Embedded System Design |
3 |
EE3315 |
Internet Technology |
3 |
CS3103 |
Operating Systems |
3 |
CS3402 |
Database Systems |
3 |
EE4146 |
Data Engineering and Learning Systems |
3 |
EE4080 |
Project |
3 |
EE4096 |
Engineering Training I |
3 |
EE4097 |
Engineering Training II |
3 |
Δ EE2301 Basic Electronic Circuit is replaced by EE2005 effective from Sem A 2020/21
List of Elective Courses (15 CUs)
Students are required to take at least FIVE electives of which TWO must be from each group.
Group A
Course Code
|
Course
Title |
Credit
Units |
EE3209 |
Data Management Techniques |
3 |
EE4014 |
Business Data Communication Networks |
3 |
EE4016 |
Engineering Applications of Artificial Intelligence |
3 |
EE4017 |
Internet Finance |
3 |
EE4212 |
Cryptography and Information Theory |
3 |
EE4215 |
Cybersecurity Technology |
3 |
EE4216 |
Modern Web Applications |
3 |
EE4221 |
Cloud Computing Systems |
3 |
EE4222 |
Digital Forensics |
3 |
EE4316 |
Mobile Data Networks |
3 |
Group B
Course Code
|
Course Title |
Credit Units |
CS3391 or CS4335 |
Advanced Programming or Design and Analysis of Algorithms |
3 |
EE4015 |
Digital Signal Processing |
3 |
EE4204 |
Digital System Design with VHDL |
3 |
EE4208 |
Computer Graphics for Engineers |
3 |
EE4209 |
Digital Audio Technology |
3 |
EE4211 |
Computer Vision |
3 |
EE4213 |
Human-Computer Interaction |
3 |
EE4218 |
Computer Architecture |
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 (6 CUs) 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.