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STUDY PLAN & MODULE DESCRIPTIONS
Code Module Credits Duration Prerequisite(s)

Table I: Compulsory Modules
COMP8121 Research Methodology and Ethics 3 45 hrs ---
This module introduces the systematic investigation that attempts to establish facts on

a scientific basis. The investigation involves discovery, interpretation, development, and
execution of methods that are generic in nature, yet highly applicable to research in
information technology and computer applied technology. Topics covered include
review of a published article, literature review, identifying a research problem, reliability,
validity, data collection, simulation, optimization, graphical modelling, research ethics,
and research methods specific to computer applied technology. In particular, practical
research methodology, documentation, and transferrable skill, especially for the
computer applied technology, will be investigated. Furthermore, it is also important to
formulate ways to write research proposals and academic papers.
COMP8122 Selected Topics in Big Data and 3 45 hrs ---
Smart Society
In this module, students will undertake in-depth explorations of selected topics about
the interrelation between Big Data and other information-related phenomena in a
society driven by smart applications. Upon completing the module, students will be able
to identify and access the interdisciplinary issues in various socio-technical
environments with respect to smart applications, to adopt intelligent Big Data analytical
tools and techniques to deal with these issues, and to situate studies of technological
innovation in a broad social and Region-specific context.

COMP8123 Advanced Topics in Computer 3 45 hrs ---
Applied Technology

This module is designed to provide students with an introduction to modern computer
programming trends, and an in-depth exploration of a specific area within the field of
machine learning and data analysis. This module caters to students who have already
acquired a solid foundation in computer programming, machine learning and data
analysis and are eager to delve into advanced concepts and emerging trends in a
specialized topic area. By engaging in this module, students will have the opportunity to
deepen their knowledge, develop practical skills, and engage in critical analysis of
cutting-edge topics.

Table II
COMP8299 Thesis 21 --- ---

The doctoral thesis aims to allow students, by tackling advanced research problems over
diverse settings, to significantly contribute to the expansion of knowledge in the field of
Computing, especially in applied technology and produce a coherent body of work that
is of scholarly value and worthy of publication. The work must be original and be the
student’s own. There must be evidence that the field has been thoroughly surveyed by
the student with critical exposition of relevant works, clearly demonstrating the mastery
of a body of knowledge in the field and strong analytical skills. Students are responsible
for ensuring that the thesis is presented in a clear, accessible and consistent format.
Good project management practices and effective writing and oral presentation skills
are essential to the successful completion of the thesis.

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