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

                                           Table I: Compulsory Modules
                COMP6121     Introduction to Internet of Things     3   45 hrs   ---
                             This module provides a comprehensive overview of the Internet of Things (IoT) from
                             the global context. A number of technologies enabling IoT will be included, which are
                             IP  networking,  wireless  communication,  Arduino  programming,  etc.  They  create  the
                             environment  by  allowing  interaction  between  machines,  smart  devices,  ubiquitous
                             computers, physical objects and human users. This module is an introduction to the
                             fundamentals of IoT, designed for either Information Communication Technology (ICT)
                             or non-ICT students. In particular, the module will define the core system architectures,
                             including but not limited to, the middleware to design single device and multi-device
                             systems.  It  will  also  offer  hands-on  experience  in  labs  to  build  smart  device
                             applications.
                COMP6122     Introduction to Big Data        3        45 hrs   ---
                             Introduction to Big Data covers  the new large-scale programming models that allow
                             easily creating algorithms that process massive amounts of information with a cluster
                             of  computer  nodes.  These  platforms  hide  the  complexity  of  coordinating  complex
                             parallel computations across the cooperating nodes, instead providing to developers a
                             high-level programming model. The module is based on the MapReduce programming
                             model. Lectures explain how multiple data analysis algorithms can be expressed under
                             this  model,  and  executed  automatically  over  clusters  of  machines.  The  module  also
                             covers the internal mechanisms that a MapReduce framework uses to coordinate and
                             execute the job among the infrastructure. Finally, additional related topics in the area
                             of Big Data, such as alternative  large-scale  processing platforms, NoSQL data  stores,
                             and Cloud Computing execution infrastructure are presented.
                COMP6123     Research Methodology            3        45 hrs   ---
                             The  module  will  teach  the  practical  research  and  transferable  skills  applicable  to
                             applied  research  in  computing  and  information  technologies  (IT).  It  provides  broad
                             coverage  of  issues  and  topics  related  to  applied  IT  research,  including  research
                             philosophies  and  methodologies,  research  design,  research  ethics,  and  techniques
                             pertaining to data collection and analysis applicable in IT research. It also covers risk
                             management and various project management skills.
                COMP6124     Communication   Technology   for  3      45 hrs   ---
                             Internet of Things

                             This module provides a comprehensive study of the major communication technologies
                             and emerging standards that enable applications on Internet of Things (IoT). It covers a
                             wide  range  of  technologies  which  IoT  is  expected  to  bridge  in  the  formation  of  an
                             autonomous communication network that supports smart applications and intelligent
                             decision  making.  Topics  include:  cellular  technologies  (2G/3G/4G/5G)  and  M2M
                             communications,  covering  their  transmission  characteristics,  physical  layer
                             technologies, medium access protocols, and routing protocols; WiFi; Bluetooth; Radio
                             Frequency  Identification  (RFID);  Near  Field  Communication  (NFC);  Wireless  Sensor
                             Networks; Wireless Personal Area Networks including IEEE 802.15.4 and ZigBee, and
                             the Low Power networks such as SigFox and LoRa.




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