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Module Details

CE713-7-AU-CO: Internet of Things Technology

Year: 2018/19
Status: Current
Department: Computer Science and Electronic Engineering (School of)
Campus: Colchester Campus
Term: Autumn
Level: Postgraduate: Level 7
Essex credit: 15
ECTS credit: 7.5
Available to Incoming Essex Abroad / Exchange students: Yes
Available to Outside Option: Yes
Available to Audit: No
Module Start and End Dates: Thursday 04 October 2018 - Friday 14 December 2018

Supervisor: Dr Faiyaz Doctor
Teaching Staff:
Contact details: CSEE General office

Module Description

The Internet of Things (IoT) brings together a physical object (the thing), with associated controllers, sensors and/or actuators that are interfaced though the Internet to other devices and ultimately to interact with human beings (and/or animals) in some form. It covers a wide range of applications including: intelligent habitation, intelligent building control, smart vehicle technology, and industrial processes. IoT is already starting to revolutionise how we interact with a range of devices and is poised to become a dominant and pervasive technology that will underpin the modern world.

The aims of this module are to introduce the technology and architectures that create the Internet of Things. After students complete the module they will be able to: describe, design and analyse and Internet of Things application.

Learning Outcomes

After completing this module, students will be expected to be able to:

1. Describe IoT architectures and select suitable architectural features for an IoT application
2. Describe, analyse and select a networking solution for an IoT application
3. Design a complete IoT system for a given application
4. Create an IoT application that interacts with a device
5. Propose security solutions to protect the security of the devices, data and the privacy of users.


Introduction to IoT including high-level descriptions of applications.

IoT architectures: proposed reference architectures; service oriented architecture; API-oriented architecture, architecture for industrial applications (Industry 4.0); machine-to-machine (M2M) and other standard based approaches.

Networking for IoT: Introduction to, and motivation for, IPv6; transport layer protocols including constrained application protocol (CoAP); header compression (e.g. 6LowPAN); supporting networking protocols such as DNS; wireless networking solutions (Wireless LAN, Bluetooth, ZigBee, RFID); wireless sensor networks and enabling protocols.

Programming models for IoT: programming languages and frameworks, APIs, RESTful interfaces.

Hardware platforms: common hardware platforms (Arduino, Raspberry PI); sensors and actuators with examples and interfacing.

Data processing and management: example application (Healthcare); cloud and fog computing solutions; virtualised containers for processing (e.g. Docker).

Security and privacy: security issues (threats and vulnerabilities); cryptographic solutions including low-power cryptographic solutions; privacy of data and secure methods of sharing data.

Teaching and Assessment


40 per cent Coursework Mark, 60 per cent Exam Mark


MCQ Test - week 6 (33.33%)
Coursework Report (66.67%)

Exam Duration and Period

120 minutes during Early Exams (Main)

Teaching Methods

Lectures: 20 hours
Laboratories: 10 hours
Revision classes (early in Summer term): 2 hours


Teaching Materials

Available via Moodle.

Lecture Recording

Of 31 hours, 20 (64.5%) hours available to students:
11 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).


  • (2016) Internet of things: principles and paradigms, Cambridge, MA: Morgan Kaufmann.

The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students.

Further reading can be obtained from this module's reading list.

Further information

Department Website: Computer Science and Electronic Engineering (School of)

External Examiner Information

  • Name: Dr Rong Qu
    Institution: The University of Nottingham
    Academic Role: Associate Professor


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