Module Leader
Module Team details to follow in 2023
Please note: this module is on pause for academic year 2022/23; the School shall reintroduce it for the following academic year.
The module aims to provide students with sufficient tools and techniques to develop software and hardware platforms for the Internet of Things, to obtain data from mobile and social sensors, perform data analysis, perform actuations, and to use key insights from data mining.
Learning Outcomes
On completion of this module, students will be better able to:- Use basic mobile sensing techniques from Android or iOS simulators to collect mobile data.
- Use basic API functionality to get data from external data sources such as sensors (public data or physical sensors).
- Explain basics of distributions, graph theory and supervised/unsupervised data analysis methods.
- Use basic visualisation techniques, statistical analysis methods and techniques, and to evaluate in which situations and conditions these are best applied.
- Interpret the results of such analysis, methods and techniques, to report them appropriately and to discuss the findings.
- Implement such methods using Python and Matlab, apply them to appropriate case studies and adequately present the results.
Description of Content
Sensing:Sensors
IoT
Actuation
APIs:
contacting
getting data
analysis
Mobile sensing:
sensors
data
analysis
coding
Coursework:
Data collection
Data analysis
coding framework
Privacy;
Security;
Contact us
Dyson School of Design Engineering
Imperial College London
25 Exhibition Road
South Kensington
London
SW7 2DB
design.engineering@imperial.ac.uk
Tel: +44 (0) 20 7594 8888