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Code Module Credits Duration Prerequisite(s)

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.

STUDY PLAN & MODULE DESCRIPTIONS (Applicable to students who

participate in the dual PhD degree programme jointly offered by Macao
Polytechnic University and University of Coimbra)

Code Module Credits Duration Prerequisite(s)

Applicable to students from Macao Polytechnic University
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 Smart 3 45 hrs ---
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.

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