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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%