Internet of Things

Utbildningsfakta

Kod: DVAD70

The course covers the Internet of Things, where communication occurs between connected free-standing devices, rather than between humans and machines. The focus of the course<br> is small, resource-saving devices such as sensors for measuring, steering of regulators, and communication between them. The course begins with an introduction to the field and presents current areas of application. The Internet of Things comprises many different technologies, and the course covers a number of building blocks such as architectures, radio interfaces, and communication<br> protocols. When several devices are connected, a large amount of data is produced and must be handled, and the flow of data is treated from collection to the steering of another device based on collected and analysed data. An important aspect of connected systems is integrity and security. It is a challenge, especially for resource-constrained devices, to keep software updated and prevent unauthorised use or wiretapping. For sensors, energy consumption is a significant factor, both in relation to long battery life and in relation to environmental concerns. The course therefore treats the influence of communication interfaces and communication protocols on energy consumption. The course comprises five modules as follows:<br> 1\. Areas of application: Health, smart homes, smart cities, industry 4.0<br> 2\. Infrastructures. Online sensors, gateway connections, mesh networks. Technologies such as NB-IoT, ZigBee, 433MHz, Z-Wave, LoRa, WiFi, Bluetooth, CoAP, MQTT<br> 3\. Data management (collection, storage, processing, analysis, automation, presentation)<br> 4\. Privacy and security (surveillance, behavioural patterns, encryption, firmware updates, attack vectors)<br> 5\. Energy optimisation (10 years of battery life - how can we achieve this? What can influence energy consumption?) The course includes practical/laboratory components. Students purchase and pay for the equipment they need.

Behörighet

Upper secondary level English 6 or B and 30 ECTS credits completed in Computer Science (including Computer Networking 7.5 ECTS credits), or three years of work experience in the IT sector, or equivalent.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Internet of Things

  Karlstad University

  Karlstad

  Startdatum: 18 januari 2027

  Slutdatum: 6 juni 2027

  Studietakt: 25 %