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Module ICE-3501:
Internet of Things

Internet of Things 2024-25
ICE-3501
2024-25
School of Computer Science & Engineering
Module - Semester 2
20 credits
Module Organiser: Dave Perkins
Overview

Indicative content includes:

  • Behind the buzzword, the 'what' and the 'why' of IoT.
  • Architecture of an IoT deployment.
  • Information at different scales, from single data points to sensor networks for big data.
  • Looking at a range of communication options.
  • Security, influences and impact.
  • Exploring the server side, prototyping with open platforms.
  • Prototyping devices with a network connection.
  • Prototyping lower cost, low bandwidth, low power devices for scale.

Assessment Strategy

-threshold -Equivalent to 40%.Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.

-good -Equivalent to the range 60%-69%.Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.

-excellent -Equivalent to the range 70%+.Assemble critically evaluated, relevant areas of knowledge and theory to constuct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.

Learning Outcomes

  • Construct a server to act as a conduit between an IoT device and it's user.

  • Contrast the costs, in time and effort, of securing IoT deployments.

  • Differentiate methods of communications in an IoT deployment, and their possible pros/cons.

  • Illustrate the processing flow of information from IoT devices to an end-user.

  • Prototype simple IoT devices using common development boards.

  • Understand the why and the what of Internet of Things [IoT]. Be able to describe a typical architecture for an IoT deployment.

Assessment method

Coursework

Assessment type

Summative

Description

Internet of Things Mini Project

Weighting

25%

Due date

02/05/2025

Assessment method

Demonstration/Practice

Assessment type

Summative

Description

Practical Laboratory exercises.

Weighting

75%

Due date

25/04/2025

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