INTERNET OF THINGS PLATFORMS FOR MANUFACTURING INDUSTRY

This course provides a fundamental knowledge of IoT, targeting physical devices, communication and computation infrastructure. The course gives theoretical knowledge as well as hands-on experiences to build an IoT application.

In this course, you will gain insight in components and technologies included in the Industrial Internet of Things (IIoT). Designed specifically for manufacturing sector professionals, the course provides knowledge about the infrastructure, the technologies and requirements needed to generate, transport and manage data in the Industrial Internet of Things (IIoT) system which is one of the main building blocks towards digitalization and smart factories. It includes project work, laboratory exercises and assignments where the student gets knowledge of different applications of IIoT in the manufacturing industry.

The manufacturing industry collects increasingly large volumes of big data, that is, data at high speed, generated from a wide range of sources in different formats and quality levels. But what is data without insight? This course will help you master the fundamental concepts of big data, cloud computing and smart decision-making for industrial analytics. Designed specifically for manufacturing sector professionals, this Master’s course provides knowledge and insights in handling and processing data, using machine learning and data analytics in the cloud environment. You will learn machine learning-based solutions for industrial applications, such as smart decision-making and predictive maintenance, using state of the art cloud platform tools.

The mobile and connected world of today generates a large amount of data that needs to be managed, analysed, and linked. This is often done on the cloud. The development, deployment, and management of this is called Cloud Computing. The purpose of this course is to offer a wide background about designing, developing, deploying, testing, and monitoring a cloud solution, specifically with a focus on big data problems.

Maybe you want to connect monitoring to a truck, or why not build a connected pump control? Do you want to measure temperatures, pressures or vibrations? Do you want knowledge about how to connect one of your existing products? Then this course is for you. Do you work as an engineer in the industry and want to learn how to develop an idea with IoT? Do you work as a developer at an IT company and want to learn more about the hardware and the entire infrastructure within IoT? The course is primarily aimed at those who are professionals in the engineering profession, but you do not need to be either a programmer or an electronics engineer to take advantage of the course. The content is adapted so that you can work with your specific ideas. The course is focused on providing both theoretical and practical knowledge in the field of Internet of Things. You will gain knowledge of the area's applications and definitions, and you will learn how to build an IoT device, all the way from hardware to visualization. You will have the opportunity to practically work with hardware, sensors, as well as infrastructure and security. We will work with, among other things, WiFi, BLE, LoRaWAN, SigFox, NB-IoT / LTE-M1, as well as insight into how data is transported throughout from the device to the database and then to the application. The course will be held mostly at a distance with a couple of scheduled workshops (13/9, 6/10, 27/10) either on site or online. All lectures will be available online. The course will be delivered in a flexible way to facilitate the combination of coursework with your ongoing professional commitments. You will need to buy IoT hardware before the start of the course, the cost can be different depending on the type of project, guide value is approx: SEK 1,000. The total scope of the course is normally about 80 hours.Language of instruction: EnglishThe course is free of charge

I dagens samhälle där digitaliseringen utvecklas med stormsteg i form av big data, cloud computing och internet of things, ökar också fokuset på cybersäkerhet. Den största problematiken för cybersäkerhet är den ständiga och framför allt snabba utvecklingen av nya enheter som skall kunna kommunicera med varandra från vart som helst när som helst. Med bakgrund i dessa ständiga förändringar har cybersäkerhet ett proaktivt och adaptivt förhållningssätt, genom kontinuerlig övervakning och realtidsbedömningar. Kärnan av cybersäkerhet består av metoder för analys och klassificering av datakommunikation för att kunna identifiera samt motverka attacker i realtid. Kursen utgår från cybersäkerhetsanalytikerns olika roller ur ett industriellt perspektiv. Vidare ingår att kunna analysera olika typer av datakommunikation. Med hjälp av olika typer av monitoreringsverktyg kunna identifiera olika typer av cyberattacker, samt tillämpa olika metoder för att upptäcka samt stoppa pågående cybersäkerhetsattacker.