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Code Module Credits Duration Prerequisite(s)
Elective Subjects - Group B (Cont.)

COMP4132 Cloud Computing 3 45 hrs ---
Cloud Computing is one important technological innovation, and being adopted across
industries at a rapid pace. With improved data redundancy and availability across different
geographical locations, Cloud Computing transforms the ways how services, applications,
and solutions are delivered. With the rises of novel virtualization technologies and new
programming paradigms, applications can be delivered quickly to customers, without the
need to own any physical infrastructure. Furthermore, with its rapid elasticity and scalability,
Cloud Computing offers low-cost solutions to the needs of companies of any sizes. It is the
perfect operating platform for housing Big Data systems and analysing collected IoT sensing
data. In this module, the main characteristics and enabling technologies of Cloud Computing,
including orchestration of compute nodes, and different service paradigms, will be discussed.
Other underpinning issues such as security, privacy, and ethical concerns are also covered.
CSAI0111 Expert Systems 3 45 hrs ---
This module covers brief history of expert systems and gives an introduction to expert system
development tools and techniques. In this module, we learn the techniques for the
construction of expert systems including computer inference and knowledge acquisition,
knowledge representation schemes, plausible reasoning techniques, production-rule
programming, validation and measurement methods.
CSAI0112 Computer Vision and Imaging 3 45 hrs COMP4116
This module focuses on the fundamental computational principles that enable an array of
picture elements, acquired by one of a multitude of imaging technologies, to be converted
into structural and semantic entities necessary to understand the content of images and to
accomplish various perceptual tasks. This module covers the problems of image formation,
low level image processing, object recognition, categorization, motion analysis, tracking and
active vision.
CSAI0113 Advanced Topics in Machine Translation 3 45 hrs CSAI3122
This module provides an overview of machine translation, including genres of translation,
challenges and evaluation of machine translation, limitations and future of machine
translation, pre-translation and post-translation editing, parallel corpus processing, machine
translation development using Python, and modern machine translation applications.
CSAI0114 Speech Recognition Technology and 3 45 hrs CSAI3122
Application
This module is designed to provide an in-depth understanding of speech recognition
technology and its applications. Students will learn the fundamentals of speech signal
processing, speech recognition algorithms, and evaluation metrics. The module will also
cover the challenges and future trends of speech recognition technology. Students will
explore various speech recognition toolkits and libraries, including Sphinx, Kaldi, Google
Speech API, Microsoft Azure Speech Services, and Amazon Transcribe. The module will
include hands-on practice using Python to implement speech recognition models and
integrate them with other applications. Through a combination of lectures, hands-on
practice, and project work, students will gain the skills and knowledge to build speech
recognition applications for various industries, including healthcare, automotive, and virtual
assistants.

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