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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    ---
                               The module will teach the practical research, transferable skills and ethics applicable to

                               research in computing and information technologies (IT). It provides broad coverage of
                               issues  and  topics  related  to  applied  and  original  IT  research,  including  research
                               philosophies  and  methodologies,  research  design,  research  ethics,  and  techniques
                               pertaining  to  computing  and  analysis  applicable  in  IT  research.  It  also  covers  risk
                               management and various project management skills as well as essential ethics in the
                               area of computing.
                 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, information science, economy, cyberculture, media,
                               policies  and  other  information-related  phenomena  in  a  society  driven  by  smart
                               applications, with a particular focus on the local context. 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, 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  covers  cutting-edge  technologies,  enabling  technologies,  and  emerging
                               issues pertaining to building computing systems that meet the needs of the society.
                               Topics  are  interdisciplinary,  examining  the  intersection  of  artificial  intelligence,  data
                               science, the Internet of things, human-centered computing, engineering infrastructure,
                               and information management. Emphasis is placed on data science and the Internet of
                               things, such as the large-scale extraction and the utilization of information from smart
                               things in cloud-based computing systems. Upon completing the module, students may
                               conduct  advanced  research  and  develop  innovative  applications  using  advanced
                               computing systems.
                                                     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 computer 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 skills are essential to
                               the successful completion of the thesis.





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