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                 Code         Module                          Credits   Duration  Prerequisite(s)
                                         Table I: Compulsory Modules (Cont.)

                 COMP6134     Communication   Technology   for  3      45 hrs   ---
                              Internet of Things

                              This  learning  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.
                 COMP6135     Big Data Analytics                                     3   45 hrs   ---
                              Recent advances in information and communication technologies (ICTs) have led to the
                              rapid explosion of data. Business intelligence derived from big data can help firms to
                              better  understand  market  needs,  develop  new  products  and  services,  improve
                              operational  efficiency,  and  acquire  competitive  advantages.  This  learning  module
                              provides an overview of common big data applications and analytical techniques (e.g.,
                              sentiment analysis, decision tree, clustering, classification, etc.) in business and discusses
                              some implementation issues related to big data projects. As part of a group project,
                              students will need to demonstrate the ability to come up with a business plan based on
                              a given case study and a relevant data set.
                                                 Table II: Electives

                 COMP6111      Optimization Methods           3        45 hrs    ---
                               This module introduces the principal algorithms for linear, network, discrete, stochastic,

                               system  and  process  optimizations.  Emphasis  is  on  methodology  and  the  underlying
                               mathematical structures. Topics include the calculus, LP (Linear Programming), simplex
                               method, network flow, game theory, queueing theory, system engineering and process
                               optimization.
                 COMP6112      Security and Authentication     3       45 hrs    ---

                               This module focuses on information systems security. Students will learn fundamentals
                               of computer security, formal models of security, aspects of information systems security
                               such  as  access  control,  hacks/attacks,  systems  and  programs  security,  intrusion
                               detection, cryptography, networks and distributed systems security, worms, and viruses,

                               and other Internet secure applications. Students will develop the skills necessary to
                               formulate and address the security needs of enterprise and personal environments.













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