INTRODUCTION TO IOT INFRASTRUCTURES

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.

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.

Do you want to learn the basics of Industry 4.0, at your own pace, whenever you want? Then the MOOC (Massive Open Online Course) Introduction to Industry 4.0 is for you. You will learn basic terminology and theory while gaining insight and understanding of the fourth industrial revolution and how it affects us. The MOOC: Introduction to Industry 4.0 is part of MDU's investment in smart production. The course is divided into ten modules, each of which describes different technologies in Industry 4.0. We estimate that it will take about 40 hours to complete the course and it is in English. The MOOC can also give you eligibility to apply for these 3 university courses at Mälardalen University: Internet of things for industrial applications, 5 credits Simulation of production system, 5 credits Big data for industrial applications, 5 credits

FOR WHO: The course is targeting professionals who want to deepen their knowledge of emissions from transportation, e.g. high school teachers, civil servants and politicians in public administration, engineers in the field of transport (car manufacturers, fuel production, logistics, ...) WHAT AND WHY: The purpose of the course is to provide a holistic perspective and increased knowledge in air pollution, to distinguish between climate effects and health effects, but also to provide insight into the tools to bring about social change. The climate is changing at an increasingly rapid pace and all the focus is on reducing CO2 emissions. However, our society relies heavily on energy conversions, e.g. for transport. Although some transport uses renewable (liquid) fuels, the CO2 balance is affected. Even if some transport is electrified, more CO2 emissions arise in the manufacture of, for example, batteries (and many cases of fossil-based electricity production). But transport also creates other emissions, so-called local emissions which mainly affect people and nature. As modern combustion engines emit very little air pollution, the composition changes and so-called wear particles also play a greater role in human health. Air pollution causes about 5 million premature deaths and is, after cancer, the greatest threat to human health. But local emissions also affect the climate. For example, marine transport will contribute with so-called albedo effects due to particle emissions (from internal combustion engines) and risk worsening climate change even more. This course deals with all the different aspects of air pollution from transport. WHEN AND HOW: You choose when and at what pace you want to carry out the steps. All parts of the course are free of charge. The course consists of five modules: 1.     Introduction 2.     The energy system and energy carriers 3.     Energy converters (engines) and reduction of emissions (exhaust gas treatment) 4.     Measurement and monitoring 5.     Health effects, societal aspects Each module contains several lectures and for each lecture and module there is a quiz where you can get confirmation that you have understood the most important things. Going through the entire course takes about 3–5 weeks, depending on how intensively/extensively you read. You can also choose to read parts of the course

The course will give insights in fundamental concepts of machine learning and actionable forecasting using predictive analytics. It will cover the key concepts to extract useful information and knowledge from big data sets for analytical modeling