Mälardalen University

The information and communication technology (ICT) sector is responsible for approx. 1.8-2.8% of the global greenhouse gas (GHG) emissions in 2020, and software is both part of the problems and the solutions. Traditional software engineering principles and techniques do not consider the climate, environment, and sustainability aspects in building and using software for any purpose. We, software engineers, developers, researchers, climate scientists, and various other related stakeholders, need to think about how we can reduce the carbon footprint due to building and using software-intensive systems. Green and sustainable software engineering is an emerging concept that can help reduce the carbon footprint related to software. In this introductory course, we will introduce the concept of green and sustainable software engineering and the engineering process to build green and sustainable software. Topics Sustainable and green computing Sustainable and green software engineering Process Energy efficient computing Sustainability issues in Scientific computing You will learnBy the end of the course, you will be able to: analyze the green and sustainability issues in traditional software engineering, identify and incorporate key elements to be included in the software engineering process to make the software green and sustainable, and use techniques to make your software code energy efficient. Who is the course for?This course is designed for those who are software developers, managers and software related policy makers, or have knowledge about software development, and want to consider the green and sustainability aspects in their everyday life. Also, this course will be useful for computational scientists who build green software and want to know more about these aspects in software engineering. However, this is an introductory course, and it will show a path for life-long learning to build more in-depth knowledge in each concept introduced in this course.

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

Learn how to use the Internet of Things (IoT) to develop smart products and services. The Internet of Things (IoT) is a collective term for the technologies that enable devices with embedded electronics and internet connectivity such as appliances, machines, and vehicles to be controlled or exchange data over a network. In this course, you will gain basic knowledge of the various components that make up Industrial Internet of Things (IIoT) systems, including sensor technologies, smart tags, data communication, and cyber security. You will learn What requirements are imposed on data communication Understand computer communication technologies and their possibilities, limitations and expected role in the development of IIoT Understand appropriate measures against common security issues

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.

Kursen ger dig verktyg både i att identifiera vilken typ av beteendeförändring som ger stor effekt på hållbarhetsarbetet och denna beteendeförändring på effektivast sätt kan uppnås. Klimatpsykologin ger kunskap om de mänskliga reaktionerna till klimatkrisen och arbetssätt för att få med sig fler, skapa engagemang och hållbar förändring. Efter kursen kommer du att kunna gå från ord till handling och från pappersprodukter till verklig förändring. Innehåll •   Inlärningspsykologi •   Prioritera beteenden och strategier  •   Förändring i organisationer:  •   Samskapande, samarbete och involvering •   Implementering Du kommer få kunskap om Kursen ger dig verktyg både i att identifiera vilken typ av beteendeförändring som ger stor effekt på hållbarhetsarbetet och hur denna beteendeförändring på effektivast sätt kan uppnås. Efter kursen kommer du kunna arbeta målinriktat i ditt hållbarhetsarbete, identifiera nyckelbeteenden för förändring, analysera och prioritera beteenden som blir centrala för ökad påverkanskraft. Du kommer kunna använda kunskap om klimatpsykologi för att välja rätt projekt och göra rätt saker. Vem vänder sig kursen till? Kursen riktar sig till dig som jobbar med hållbarhet på olika sätt i din yrkesutövning och som vill vässa din förmåga att få bättre genomslag för hållbarhetsarbetet. Du kan till exempel vara hållbarhetschef, hållbarhetssamordnare, processledare, klimatstrateg eller miljöpedagog, men kursen lämpar sig för alla som vill eller ska driva organisationens miljö- och/ eller klimatarbete. Kursupplägg Kursen är en öppen kurs som ges online med förinspelat material och den kan genomföras i egen takt. Kursen lanseras i mars-april. Språk Svenska  

The rapid development of digital technologies and advances in communications have led to gigantic amounts of data with complex structures called ‘Big data’ being produced every day at exponential growth. The aim of this course is to give the student insights in fundamental concepts of machine learning with big data as well as recent research trends in the domain. The student will learn about problems and industrial challenges through domain-based case studies. Furthermore, the student will learn to use tools to develop systems using machine-learning algorithms in big data.

The aim of the course is to provide proficiency in cybersecurity analysis and design in industrial settings, with a special focus on smart factories and Industry 4.0. To achieve this, you will learn about advanced cybersecurity concepts, methodologies and tools. You will also be able to apply your knowledge to industrial case studies.

The aim of this course is to provide participants with the principles behind model-driven development of software systems and the application of such a methodology in practice. Modelling is an effective solution to reduce problem complexity and, as a consequence, to enhance time-to-market and properties of the final product.

Learn how to improve industrial processes with modelling methods! Modeling is used to create a virtual representation of a real product. With the help of the model, you can study how the product works, test different options and evaluate the product before it is produced in reality. In this course, you gain knowledge on how to design and implement simulation models in the work of analyzing and improving production systems. You will learn how to plan and perform improvement studies, as well as apply the modeling process within the manufacturing industry. This is a course with a flexible start: The course is given with flexible start and study pace, but we recommend a study pace of 20%, which means that the course takes about 8 calendar weeks.