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WOC7021        Dissertation

               Course Learning Outcomes
               At the end of the course, students are able to:
               1. Report the literature review related to the proposed research project in the approved area.
               2. Implement a detailed research project based on the proposed research.
               3. Produce a dissertation of the research project

               Synopsis of Course Content
               The dissertation is concerned  with the guidance rendered by the supervisor to the student on the
               proper  way  of  conducting  a  software  engineering,  computer  science  or  information  technology
               research project, which could be in the form of face-to-face discussion, presentation, demonstration
               and  communication.  The  dissertation  also  covers  the  identification  of  problem  statements,
               understanding and formulation of the research objectives and research methodology to perform the
               research project

                Evaluation and Weightage
                Continuous Assessment    :  100%
                Final Examination        :  0%


               *Students have to pass candidature seminars (proposal  defence  and candidature defence) before
               submittiing  dissertation  for  examination.Results  of  candidature  seminars  will  be  emailed  to  the
               students by the faculty.

               *Dissertation  will  be  examined  by  examiners.Final  results  will  be  decided  by  the  committee  of
               examiners

               WOA7018        Autonomous Robotics

               Course Learning Outcomes
               At the end of the course, students are able to:
               1. Discuss the fundamental principles of autonomous robot.
               2. Design autonomous robots with bio-inspired Intelligence, deep  neural  networks and  deep
                   reinforcement learning.
               3. Discuss the aspects of artificial intelligence and autonomous robotics systems from industrial 4.0
                   perspectives.

               Synopsis of Course Content
               This course will present an introduction to autonomous robots from both the academic and industrial
               viewpoints. For the academic part, emphasis will be given to recent advances in cognitive robotics,
               deep reinforcement learning, which combines deep neural networks with reinforcement learning to
               provide a framework for discovering suitable control actions (policies) and addressing complex tasks
               without explicit programming. For the industry‐focused lectures, aspects of artificial intelligence and
               autonomous robotics systems will be considered from industrial 4.0 perspectives.

                Evaluation and Weightage
                Continuous Assessment    :  50%

                Final Examination        :  50%
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