Skip to main content Skip to navigation

Module Catalogue

WM380-15 Internet of Things

Department
WMG
Level
Undergraduate Level 2
Module leader
Mir Seyedebrahimi
Credit value
15
Module duration
11 weeks
Assessment
100% coursework
Study locations
  • University of Warwick main campus, Coventry Primary
  • Distance or Online Delivery

Download as PDF

Introductory description

WM380-15 Internet of Things

Module aims

This module introduces the concept, implementation and applications of digitally enabled objects that can transfer data over a network without requiring human-to-human or human-to-computer interaction.

The potential of Internet of things (IoT) in various use cases such as industrial context (also known as Industrial IoT or IIoT) smart cities and smart homes for automating specific tasks such as industrial machine control, self-diagnostics in machines, control of domestic appliances and predictive maintenance will be introduced. Different IoT systems architecture will be taught to acquire and process data using hardware kits such as Raspberry Pi, microcontrollers and energy monitors.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Introduction of IoT ecosystem and architecture
--- IoT reference architecture
--- Utilised protocols in IoT
--- System and network design approaches and use cases
IoT-enabled network elements
--- Sensors and actuators
--- Smart nodes
--- Legacy nodes and hybrid use cases
Network architecture (carriers & services)
--- Last mile wired/wireless connections
--- Local networks
--- The internet
--- Edge/Fog
--- IoT cloud platforms
IoT-related Configurations
--- Addressing schemes
--- IoT registration and IoT gateways
--- Local and remote IoT servers
--- Security and other special topics
--- On-Going IoT Operations

Learning outcomes

By the end of the module, students should be able to:

  • Identify the main IoT system components, IoT ecosystem and IoT network design principles
  • Assess where the IoT concept fits within various use cases such as smart cities/homes, the industry (Industry 4.0) and future trends
  • Demonstrate various network protocols used in IoT and know the key wireless technologies used in IoT systems, such as WiFi, 6LoWPAN, Bluetooth and ZigBee.
  • Analyse and compare the link between IoT, big data, cloud computing and data analytics
  • Design an IoT system/network composed of sensors/actuators, data processing units, wireless and backhaul networks and their implementation wherever possible

Indicative reading list

  • D. N. Serpanos, “Internet of things (IoT) systems: architectures, algorithms and methodologies”, Springer, 2018, ISBN : 9783319697154.
  • M. De Saulles, “The internet of things and business”, Routledge, 2017, ISBN: 9781315537849.
  • J. Mongay Batalla, “Beyond the Internet of things; everything interconnected”, Springer, 2017, ISBN: 9783319507583.
  • R. R. Yager, “New advances in the Internet of things”, Springer, 2018, ISBN: 9783319581903.

Subject specific skills

IoT System Design;
Corresponding Software Development;
Corresponding Technical Documentation;

Transferable skills

Team working;
Problem solving;
Critical thinking;
Digital literacy;

Study time

Type Required
Lectures 18 sessions of 1 hour (15%)
Seminars 5 sessions of 1 hour (4%)
Tutorials 2 sessions of 1 hour (2%)
Practical classes 5 sessions of 1 hour (4%)
Work-based learning 32 sessions of 1 hour (27%)
Private study 56 hours (47%)
Total 118 hours

Private study description

Self-study (to include exam revision, report writing, software exercises).

Costs

No further costs have been identified for this module.

You must pass all assessment components to pass the module.

Assessment group A1
Weighting Study time Eligible for self-certification
Project 100% 32 hours No

This project is linked with the materials delivered in the module “Internet of Things” and:
-- assesses the student's competency for describing the fundamental building blocks of IoT systems and inter-relationships
-- examines student's ability for analysing, designing and developing the taught system
-- consolidates and expands the learning by utilising a wider range of resources and reserach
This project has two parts: group and individual. Students will re-sit a new individual assessment
Feedback on assessment

Feedback given as appropriate to the assessment type:

  • verbal feedback given during seminar/tutorial sessions
  • formative feedback on the individual contributions
  • written feedback on the final group reports

Courses

This module is Core for:

  • DWMS-H652 Undergraduate Digital and Technology Solutions (Data Analytics) (Degree Apprenticeship)
    • Year 2 of H652 Digital and Technology Solutions (Data Analytics) (Degree Apprenticeship)
    • Year 3 of H652 Digital and Technology Solutions (Data Analytics) (Degree Apprenticeship)
  • DWMS-H653 Undergraduate Digital and Technology Solutions (Network Engineering) (Degree Apprenticeship)
    • Year 2 of H653 Digital and Technology Solutions (Network Engineering) (Degree Apprenticeship)
    • Year 3 of H653 Digital and Technology Solutions (Network Engineering) (Degree Apprenticeship)
  • DWMS-H654 Undergraduate Digital and Technology Solutions (Software Engineering) (Degree Apprenticeship)
    • Year 2 of H654 Digital and Technology Solutions (Software Engineering) (Degree Apprenticeship)
    • Year 3 of H654 Digital and Technology Solutions (Software Engineering) (Degree Apprenticeship)