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WQF7011          Cognitive Computing

               At the end of the course, students are able to:

                1. Assess the relationship between cognitive computing systems, artificial intelligence and and human
                   interaction.
                2. Specify requirements and techniques for designing cognitive computing systems.
                3. Develop cognitive computing systems as a solution for artificial intelligence applications.

               Synopsis of Course Content
               The student will learn and understand the concept of cognitive computing systems and its relations with
               artificial intelligence and big data. Students will also learn the requirements and techniques such as the
               characteristics, components and architecture needed to design cognitive computing system applications
               powered by multiple AI  technologies encompassing  machine  learning, reasoning, natural  language
               processing, speech recognition and vision (object recognition), human–computer interaction, dialog and
               narrative generation. In addition, students will also evaluate how such systems can be used to achieve
               human-like behaviors that improve the performance of human-machine interactions in various domains

                Evaluation and Weightage
               Continuous Assessment      : 70%
               Final Examination          : 30%


               WOA7019           Augmented Reality

               At the end of the course, students are able to:

                1. Describe the technologies related to Augmented Reality.
                2. Apply the related new technologies in the design of augmented reality applications.
                3. Develop interactive augmented reality applications for both PC based and  mobile devices using a
                    variety of input devices.


               Synopsis of Course Content
               This course is designed to introduce students with knowledge related to augmented reality concepts
               and technology. This is followed with a discussion on how knowledge about human sensory systems
               can  facilitate  in  designing  ergonomic  augmented reality  devices  that  match  human perceptual
               capabilities. Students are then trained to develop an augmented application using a suitable
               programming language and 3D software. Towards the end of the course, there will be discussions on
               several  examples  of  augmented reality  applications  with  emphasis  on  the  contributions  of  the
               augmented reality technology and future direction of this technology.

                Evaluation and Weightage
               Continuous Assessment      : 70%
               Final Examination          : 30%
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