The Internet of Things, better known as IoT, represent a huge technological trend driving by the advancements of sensors, internet, information, data, and mobile usage. This course will coves some of the new challenges and issues to arise. We will consider aspects of systems implementation and focus on both theoretical tools for the analysis of data as well as the vulnerabilities that arise because of the overall interconnectedness. We provide students with a comprehensive understanding of IoT by focussing on both the technical viewpoints as well as the systems implementation viewpoint and the societal impact. This course will introduce recent advances in IoT, particularly the integration of machine learning and IoT systems. Students will learn the principles, techniques, and tools to analyze, design, and implement machine learning enabled IoT systems.

Examination: Qualitative and quantitative questions to see how far students have achieved their intended learning outcomes Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components.