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ENGLISH

Code Module Credits Duration Prerequisite(s)
Table I: Compulsory Modules (Cont.)

COMP6134 Communication Technology for 3 45 hrs ---
Internet of Things

This learning module provides a comprehensive study of the major communication
technologies and emerging standards that enable applications on Internet of Things
(IoT). It covers a wide range of technologies which IoT is expected to bridge in the
formation of an autonomous communication network that supports smart applications
and intelligent decision making. Topics include: cellular technologies (2G/3G/4G/5G) and
M2M communications, covering their transmission characteristics, physical layer
technologies, medium access protocols, and routing protocols; WiFi; Bluetooth; Radio
Frequency Identification (RFID); Near Field Communication (NFC); Wireless Sensor
Networks; Wireless Personal Area Networks including IEEE 802.15.4 and ZigBee, and the
Low Power networks such as SigFox and LoRa.
COMP6135 Big Data Analytics 3 45 hrs ---
Recent advances in information and communication technologies (ICTs) have led to the
rapid explosion of data. Business intelligence derived from big data can help firms to
better understand market needs, develop new products and services, improve
operational efficiency, and acquire competitive advantages. This learning module
provides an overview of common big data applications and analytical techniques (e.g.,
sentiment analysis, decision tree, clustering, classification, etc.) in business and discusses
some implementation issues related to big data projects. As part of a group project,
students will need to demonstrate the ability to come up with a business plan based on
a given case study and a relevant data set.
Table II

COMP6298 Project Report 9 --- ---
Students are required to apply the techniques and technologies which they have learned

in a significant advanced project. Under the supervision of an advisor, the students shall
focus on a contemporary technological problem and make use of the leading-edge
techniques to produce new solutions. Upon completion, the project report is to be
submitted and evaluated using the standard criteria for advanced project.
Table III: Electives

--- Complete 2 of the following 6 90 hrs ---
Modules
COMP6111 Optimization Methods 3 45 hrs ---
This module introduces the principal algorithms for linear, network, discrete, stochastic,

system and process optimizations. Emphasis is on methodology and the underlying
mathematical structures. Topics include the calculus, optimization basics, LP (Linear
Programming), first-order methods, duality and optimality, and support vector machine
(SVM).
COMP6112 Security and Authentication 3 45 hrs ---
This module focuses on information systems security. Students will learn fundamentals

of computer security, formal models of security, aspects of information systems security
such as access control, hacks/attacks, systems and programs security, intrusion
detection, cryptography, networks and distributed systems security, worms, and viruses,

and other Internet secure applications. Students will develop the skills necessary to

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