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Making, Designing & Building Connected Sensor Systems (CASA0016)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Centre for Advanced Spatial Analysis
Credit value
15
Restrictions
This module is restricted to students enrolled on the programme - MSc Connected Environments (TMSCONENVI01).
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Aims:

To give the student an exposure and understanding of what makes a good connected device, and develop the skill set to design and build an object that can be used to sense or actuate in the built or natural environment.

Learning outcomes:

On successful completion of this module, a student will be able to:

•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Select the appropriate type of sensors to measure the environment

•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Understand the basics of how to power electronic systems

•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Understand the process of making circuits to connect sensors to compute systems

•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Build prototypes using tools such as Arduino/Raspberry Pi/Eagle/Fusion 360

•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Specify and source standard enclosures for electronics

•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Design methods for safely and securely deploying sensors in the field

•ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý Integrate all components of an end-to-end sensing system so that it can be deployed in the environment

Content:

Through a series of lectures and workshop exercises students will be introduced to the hardware and software of the internet of things that enables us to sense and interact with a connected environment. The module will cover an introduction to the senses, analog and digital sensors, electronic components, energy harvesting and powering connected devices, physical prototyping and deploying / installing sensors.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Intended teaching location
¹û¶³Ó°Ôº East
Methods of assessment
40% Viva or oral presentation
60% Dissertations, extended projects and projects
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
26
Module leader
Dr Martin De Jode
Who to contact for more information
casa-teaching@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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