Aims and Fit of Module

Internet of Things (IoT) has been widely used in end-user products as well as in diverse manufacturing environments. This module aims to provide an understanding of IoT, related technologies, and its application in a smart and industrial ecosystem. 
Students will gain an understanding of basic and advanced knowledge of IoT, its control technologies and applications, and its security issues related to its implementation, particularly in an industrial and manufacturing setting.

Learning outcomes

A	Demonstrate understanding of concepts of Internet of Things (IoT) and its related technologies.
B	Demonstrate understanding of control theories in IoT technologies and their applications in industrial and manufacturing contexts.
C	Indicate familiarity with the software and hardware used in IoT technologies and identify their interfaces with industrial systems.
D	Illustrate understanding of security, ethical issues, impact, and threats related to IoT technologies usage and implementation, and elaborate on ideas for countermeasures.
E	Evaluate  state-of-the-art of IoT technologies and applications and create IoT solutions for industrial and manufacturing ecosystems.

Method of teaching and learning

The teaching philosophy of the module adopts the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. 
This module will be fully assessed by coursework – group project and individual assignment.
 
This module will be delivered through lectures, seminars and tutorials. Teaching will be conducted using problem-based learning, with problems embedded in the lectures. General transferable skills are developed through the presentation of written and oral reports.