• The course is highly practical, with 75% of the technical content delivered during lab sessions. In these sessions you'll do exercises involving system design, device programming and cloud development.

The course is aimed at those with a background in electronic engineering or related subjects.

Who this course is for

The course is aimed at those who already have:

• a background in electronic engineering or a related subject
• an understanding of basic networking
• some software (coding) experience

You don't need any specific qualifications to take this course, but the following would be an advantage: 

• Knowledge of basic electronics (for example, ADCs/DACs, PWM, voltage dividers)
• Familiarity with networking and TCP/IP
• Experience programming Arduino and/or Raspberry Pi devices
• Experience programming in HTML and/or JavaScript
• Course content

The following topics will be covered during the course:

1. Introduction to the Internet of Things

What is the IoT and why is it important?

Elements of an IoT ecosystem

Technology and business drivers

IoT applications, trends and implications

2. Sensors and sensor nodes

Sensing components and devices

Sensor modules, nodes and systems

3. Connectivity and networks

Wireless technologies for the IoT

Edge connectivity and protocols

Wireless sensor networks

4. Analytics and applications

Signal processing, real-time and local analytics

Databases, cloud analytics and applications

5. IoT lab exercises

Local processing on the sensor nodes

Connecting devices at the edge and to the cloud

Setting up wireless mesh networks

Processing and analysing data offline and in the cloud

The course is held in person and will take place at UCL Department of Electronic and Electrical Engineering, Roberts Building, Torrington Place, London, WC1E 7JE, United Kingdom.

Cost: £1,500