INTERNET OF THINGS - 2019/0

Module Overview

Expected prior/parallel learning:  Basic knowledge of hardware systems and module EEE3013 (Object Oriented Programming and C++), or equivalent knowledge of C++ or of Java programming.




Module purpose:  Advances related to energy efficiency issues and cost reductions have resulted in the rapid growth and deployment of networked devices and sensing/actuation systems that connect the physical word with the cyber-world. The number of devices connected to the Internet already exceeds the number of people on earth and is estimated to grow to 50 billion devices by 2020. The resulting framework, which is known as the Internet of Things (IoT), incorporates a number of technologies, including wireless sensor networks, pervasive systems, ambient intelligence, context-awareness and distributed systems. This module will provide an overview of the key concepts and enabling technologies for the Internet of Things, including: Wireless Sensor Networks, Platforms (Hardware, Software), Machine-to-Machine communications (M2M), protocols and standards (e.g. 6LowPAN, ZigBee, CoAp), semantic technologies, and data and information processing mechanisms.  





 

Module provider

Electrical and Electronic Engineering

Module Leader

BARNAGHI Payam (Elec Elec En)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): 107

Module Availability

Semester 1

Prerequisites / Co-requisites

None.

Module content

Indicative content includes the following.

• Introduction to the module, basic concepts in the Internet of Things domain, and the state of the art in technologies that are used to enable the Internet of Things systems, services and applications     (3 hrs).


• Cyber-Physical systems, smart devices, sensors and actuators (3 hrs)


• Key applications, protocols and architectures (3 hrs)


• Networks and Communications (Wireless Multi-hop Networks (WMN), Mobile Ad-hoc Networks (MANET), Wireless Sensor Networks (WSN)) (3 hrs)


• Software platforms and services (3 hrs)


• Intelligent Data Processing and Semantic technologies (3 hrs)


• Connecting things to the Web (3 hrs)


• Reliability, Security, Privacy and Trust issues and solutions (3 hrs)


• Applications, System models, Standards, and Physical-Cyber-Social systems (3 hrs)


• Wrap-up and outlook (3 hrs)

 

Assessment pattern

Alternative Assessment

Not applicable: students failing a unit of assessment resit the assessment in its original format.

Assessment Strategy

The assessment strategy for this module is designed to provide students with the opportunity to demonstrate the learning outcomes. The written examination will assess the knowledge, concepts and theory of key technologies, common protocols, and relevant techniques in the Internet of Things area, as well as the ability to analyse problems and apply the common solutions and techniques to solve different uses-case scenarios in this domain. The Assignment will assess the ability to design a basic Internet of Things system using a common platform and will also evaluate the ability to critically analyse an existing work in a related area.

Thus, the summative assessment for this module consists of:

• 2 hour, closed-book written examination


• An assignment involving two programming exercises and an essay report (due on Tuesday Week 9).
  
  
  
  • The programming exercises comprise development of a basic Fire Alarm system and implementing a data aggregations algorithm on a sensor node. 
  
  
  • The essay will be on a topic/work that is discussed in a journal article related to the Internet of Things (the relevant articles and topics will be provided).
  
  
  
  

Any deadline given here is indicative. For confirmation of exact date and time, please check the Departmental assessment calendar issued to you.

Formative assessment and feedback

For the module, students will receive formative assessment/feedback in the following ways.

• During lectures, by question and answer sessions


• During supervised computer laboratory sessions


• During the seminar and class discussions


• Via the marking of written reports


• Via assessed coursework

Module aims

• introduce the fundamental concepts of the Internet of Things and its applications and architecture models, followed by an introduction to the technologies and mechanisms for sensing, actuation, processing and cyber-physical data communication.
• enable students to develop practical skills that can be transferred into a real-world environment.
• discuss semantic technologies, service oriented solutions and networking technologies that enable the integration of Internet of Things data and services into the cyber world (i.e. the Internet and the Web).

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to achieve the following aims.

This module is designed to provide up-to-date knowledge that will enhance and extend the students’ theoretical and practical skills in related areas and will also improve their analytical and problem solving skills.  This will be achieved through a set of lectures and classroom practices and discussions that are designed to provide fundamental knowledge of the related areas to the students. The lectures will explore various technologies, methods and techniques, use cases and common practices in the lectures, where students will also learn how the fundamental concepts and solutions that can be applied in solving the problems or extending the frontiers in related areas. The practical sessions will be conducted as lab experiments and will be complimented by the coursework assignment. The coursework comprises a programming assignment and also writing an essay report. Students will be expected to not only investigate the relevant literature and write a report, but also to learn practical skills and develop a basic system and demonstrate it on a common platform.

Learning and teaching methods include the following.

• Lectures to provide the fudamental knowledge (3 hrs lecture per week x 10 weeks)


• Class discussion to encourage interaction and partcipation (no specific time is devoted to this activity; however this will be a part of the activities during the lectures)


• Seminar to present and discuss the essay work (3 hours)


• Programming lab sessions (1 hour per week)

 





 

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: EEEM048

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.