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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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