This module provides an overview of hardware behind embedded computing systems and a deep understanding of software technologies that enable them to operate. Major topics will include software architectures, common design patterns, programming, debugging, and integrating embedded software from smart kitchen appliances to sophisticated fight control for airlines. A series of integrated labs using a Software Development Kit (SDK) for embedded computing systems will enable to reinforce the concepts taught in lectures.
Smart sensors are tiny, autonomous devices equipped with wireless transmission, sensing capabilities for a huge variety of automation applications, such as healthcare,
transportation systems, industrial manufacturing, surveillance, resource discovery, etc.
Actuators are also autonomous devices that are responsible for moving or controlling a
mechanism or system. An actuator requires a control signal a source of energy. Sensors
and actuators can combine to form the skin of IoT. Sensors and actuators provide a link
between the physical world and the digital world. This module will focus on the basics of
sensors and actuators along with their characteristics, specifications and uses.
Most of the other Embedded Computing Systems modules provide students with an understanding on how to build hardware, software, communication protocols and cloud infrastructures that enable the Internet of Things (IoT). This module rather explores a broader perspective of IoT with focus on its applications and the value they create. The module will include studies around business modeling, market segmentation, and applications in trending areas such as agriculture, health, transportation, urbanization, energy and manufacturing. The main objective of this module is to closely examine emerging trends, markets, applications, technologies and skills required by graduate students exploring career opportunities in IoT
In this module the students will learn about wireless sensor networks. Wireless sensor networks is one of the most important topics in IoT, where all the networking aspects of wireless sensors like introduction to WSN , types of WSNs, protocols and algorithms, WNS applications, WSN platforms, potential synergies etc. are taken care of.
This module examines some of the theories and methods associated with educational research methodologies through a consideration of definitions and purposes of research, approaches to framing the enquiry, methods, analysis and writing up the research project. Students are introduced to a range of research methods which are critically assessed. The module aims to give the confidence, critical understanding and skills to enable students to embark on their own educational research project. It also aims to provide a basis for informed judgements about research methods and evidence those members of research-led profession need to make.
As IoT is now attracted to be used in all aspect of living including business, industries, etc., graduate students in IoT need to have entrepreneurship skills for them to acquire the knowledge of creating and growing a start-up in the settings of the Internet of Things. This module is thought to all students to gain entrepreneurship skills and start-up business. Industrial and consumer IoT markets and products will be discussed.