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

COMP6125 Multimedia Technology for Internet 3 45 hrs ---
of Things
This module aims to provide students with the advanced topics of multimedia
compression and communication, and the in-depth concepts and applications of
computer vision. Topics include the principles of scalable video and audio codecs, file
formats and codec settings for optimizing the quality and media bandwidth, applying
the codecs in developing a basic media player application that is suitable for mobile
access, in-depth concepts and methods of computer vision, and the structure of the
applications of computer vision.

COMP6126 E-Commerce with Big Data 3 45 hrs ---
Recent advances in information and communication technologies (ICTs) have led to the
rapid explosion of consumer and user 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 module
provides an overview of common big data applications and analysis techniques (e.g.,
market basket analysis, sentiment analysis, decision tree, clustering, 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: Electives
COMP6101 Machine Learning 3 45 hrs ---

Artificial Intelligence (AI) is so pervasive today that possibly you are using it in one way
or the other and you don’t even know about it. One of the popular applications of AI is
Machine Learning (ML), which is the science of getting computers to learn without
being explicitly programmed. In the past decade, machine learning has given us many
amazing applications such as self-driving cars, speech recognition, image recognition,
financial trading, machine translation, AlphaGo etc. This module covers some of the
most important methods for machine learning including deep neural networks,
reinforcement learning, etc. The aim of the module is to give students the theoretical
underpinnings of machine learning techniques, and to allow them to apply such
methods by practice in a range of areas such as image recognition, classification,
automatic control, etc.
COMP6102 Security and Authentication 3 45 hrs ---
The module aims to give students an introduction to the principles, methods and

applications of cryptography and authentication protocols used for network security.
Security and authentication play an important part in the IoT. With sensitive
information being delivered among an ever growing number of devices and parties,
one wants to make sure that information will only be seen by someone with keys, and
also the keys won’t be stolen or faked. Cryptography and authentication protocols are
the techniques to address these issues.

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