Mälardalen University

This course explores the integration of artificial intelligence (AI) in decision support systems specifically tailored for the energy and production sectors. Students will learn how AI technologies, such as machine learning, optimization, and data analytics, are transforming traditional operational strategies, enhancing decision-making processes, and driving efficiency in energy and production operations. The curriculum will cover foundational concepts of AI and decision support systems, along with practical applications such as predictive maintenance, demand forecasting, process optimization, and real-time decision support. Through hands-on projects, case studies, and industry-relevant examples, participants will gain insights into designing and implementing AI-driven solutions that improve operational performance, reduce costs, and support sustainability goals. By the end of this course, students will be equipped with the skills to develop and apply AI-driven decision support systems to solve complex challenges in energy and production environments. This course is ideal for professionals and students interested in leveraging AI for operational excellence in the energy and production industries.

This course is designed for engineers, scientists, operators, and managers interested in utilizing AI-based methods for condition monitoring and prognostics in industrial systems and high-value assets. Participants will learn to identify common failure causes and predict Remaining Useful Life (RUL) using historical data, involving tasks such as data processing, feature selection, model development, and uncertainty quantification. Led by experienced professionals from industry and academia, the course covers the basics of prognostics and introduces various AI methods, including deep learning. It represents state-of-the-art AI-driven prognostic techniques, advanced signal processing, and feature engineering methods.

Hur kan grön omställning göras så att resultatet är socialt önskvärt, miljömässigt -, samhälleligt - och ekonomiskt hållbart, samt etiskt acceptabelt? Själva uttrycket grön omställning leder lätt till ett snävt fokus på teknik och miljö. Det glöms att hållbar omställning syftar till att säkra framtida generationers möjligheter att leva sina liv inte bara i en god miljö, utan också i rättvisa och inkluderande samhällen och under hållbara ekonomiska förutsättningar. I den här kursen utforskar vi begreppet ansvarsfullhet och experimenterar praktiskt utifrån tankesätt och metoder som kommer ifrån EUs Responsible Research and Innovation (RRI) och innovationsforskningens Responsible Innovation (RI). Innehåll Ansvarsfull innovation och grön omställning EUs ansvarsfull forskning och innovation (RRI),  ingående delar och verktygslåda Hållbar utveckling och grön omställning Ansvarsfullhet och aktörer, intressenter samt användare Missions, framtider och grön omställning Du kommer få kunskap om Efter kursen kan du kartlägga området där den gröna omställningen skall ske, identifiera de intressenter som bör involveras den ansvarsfulla grön omställningsprocessen. Du kommer också att kunna identifiera arbetssätt som behöver förändras och kunna delta i utvecklandet av nya arbetssätt. Vem vänder sig kursen till? Den här kursen angår oss alla, oavsett yrkesroll och även som privatpersoner. Du bör vara nyfiken på samhällsutveckling mot hållbara samhällen i alla tre dimensioner. Du behöver inte ha några speciella förkunskaper förutom att du behöver vara beredd på att läsa engelska texter. Några som denna kurs kan vara särskilt lämpad för är strateger vid kommuner och regioner, utvecklare av teknik, organisationer eller samhällen, samt personer med ett samhällsengagemang som vill vara med och påverka utvecklingen.  Kursupplägg Kursen lanseras i maj och är en öppen kurs som kan genomföras online när som helst och inte kräver några förkunskaper. Kursen bygger på förinspelade filmer och poddar som vägleder och inspirerar inom varje kursområde. Dessa är kopplade till uppgifter och övningar du genomför och dokumenterar för ditt eget lärande. Språk Svenska

This course provides an understanding of automating software testing using program analysis with the goal of intelligently and algorithmically creating tests. The course covers search-based test generation, combinatorial and random testing while highlighting the challenges associated with the use of automatic test generation. You will learn: Understand algorithmic test generation techniques and their use in developer testing and continuous integration. Understand how to automatically generate test cases with assertions. Have a working knowledge and experience in static and dynamic generation of tests. Have an overview knowledge in search-based testing and the use of machine learning for test generation.

In this course, we will go through different commands and techniques to create advanced shapes. You will also learn how to analyze the appearance of surfaces and shapes, and you will learn how to use top-down modeling to create models. You will also learn how to create products from sheet metal and products made from standard profiles. The software used is SolidWorks. This course is given in Swedish.

The main goal of this course is to teach you basic knowledge and skills in argumentation.You will be engaged in co-constructing evidence-based justifications as well as in analyzing existing justifications in search of argumentation fallacies. Individual work as well as group-based work will allow you to practice. You will analyze climate-related articles (published in scientific literature but also in the news) and will extract the implicit underlying arguments and provide their analysis.Ultimately, this course will help you to develop basic argumentative skills needed to critically join the debate in society on climate goals. Who is the course for?CLIMATE GOALS, ARGUMENTATION, EVIDENCE is aimed at anyone who is interested in moving the first steps into the argumentation domain with the purpose of joining the debate on climate goals.An engineer (but also a politician) is expected to have founded arguments before taking any (climate-related) action. A citizen is expected to have founded arguments before engaging and sustaining any climate-related political agenda. How is the course structured?The course is a 4-week course. Each week mainly focuses on a single Intended Learning Outcome.

This course will provide a basic theoretical and practical knowledge in the art of configuring and securing computer networks and create simpler topologies. Together with the "Computer Networks II" distance course (Datakommunikation i nätverk II, distanskurs) you will be covering most, but not all, of the content that are part of a Cisco Certified Network Associate (CCNA) certificate. The certificate is not part of this course.

In this course, you will learn how data analysis in virtual production can improve your organization's results! Data analytics in virtual production uses advanced techniques to collect, analyze and present data to improve production. This system is designed to help companies optimize their production and increase efficiency. By learning how to model, do scenario analysis and evaluate using industrial software, identify bottlenecks, and use AI methods and applications, you will get all the tools necessary to succeed with a full production analysis. 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.

Numerical models are used in every engineering task, from conceptual design to optimization, control, and diagnostics. As the process becomes more complex, data driven models are a powerful tool that allows to quantify relationships between available data and observations, which forms the basis for machine learning. Image recognition, spam filtering, and predictive analytics are some examples of how we can use data driven models. This course provides a simple introduction to fundamental techniques for dimensionality reduction, classification, and regression, which can be applied to all types of engineering problems.

This course teaches you how to build convolutional neural networks (CNN). You will learn how to design intelligent systems using deep learning for classification, annotation, and object recognition. It includes three modules: Image processing: Introduction of industrial imaging through big data and fundamentals of image processing techniques Deep learning with convolutional neural network: Overview of neural network as classifiers, introduction of convolutional neural network and Deep learning architecture. Deep learning tools: Implementation of Deep learning for Image classification and object recognition, e.g. using Keras.

Learn about digital twins and how they can be used in smart production! A digital twin is used to create a virtual model of a real production system. Among other things, it can be used to simulate how the product will be manufactured, how materials flow and how machines move. The course gives you knowledge of industrial digital twins and their application within the framework of smart production. You will gain an insight into the possibilities digital twins offer for improving production systems and processes. You will gain an understanding of when the use of digital twins can be a beneficial solution in the development of production systems. This is a course with 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. You can join the course until the end of October.

Today, many industries face an increased demand for designing dependeble systems witch encounters various challenges, including more complex electronics and software-intensive systems. In the course, we will discuss different types of faults and possible sources of faults (technology, human and environment). Different types of faults are handled with different fault tolerance mechanisms, which are discussed for systems, hardware and software components. The course provides a solid foundation for understanding how to design fail-safe systems. The goal is to provide you with a toolbox of concepts for fail-safe design for both hardware and software so you can understand the rationale for appropriate mitigation strategies. The course is suitable for both engineers and students.

This course is designed for you who wants to learn more about functional safety of battery management systems. The course will also cover other aspects of safety such as fire safety in relation to Rechargeable Energy Storage Systems (RESS) and associated battery management systems. In the course you will be able to develop skills in principles of battery management systems, functional Safety as well as of other aspects of safety such as fire safety, hazard identification, hazard analysis and risk assessment in relation to battery management systems. The course also provides a broader understanding of the multifaceted nature of safety. The course is given with a low study pace. This course is primarily intended for engineers that need to ensure that battery management systems are safe, reliable, and compliant with industry standards. The course is suitable for individuals with backgrounds in for example functional safety, battery systems, automotive or risk assessment.  

In this course, you will be made aware of the state-of-the-art in cybersecurity research and state of practice in industry. Cybersecurity vulnerabilities are a threat to progress in the business sector and society. This is an accelerating threat due to the current rapid digitalisation, which in manufacturing is termed Industry 4.0. Companies are aware of this threat and realise the need to invest in countermeasures, but development is hampered by lack of competence.  

Upptäck framtidens arbetsliv – kurs i utekontorsarbete! Att arbeta utomhus regelbundet förbättrar både hälsa och välmående samtidigt som det bidrar till en grön omställning av arbetslivet. Naturen erbjuder en unik arbetsmiljö som kan stärka kreativitet och produktivitet. Arbetslivet går igenom stora förändringar. Kontorsarbete sker inte längre bara på traditionella arbetsplatser. Med nya digitala lösningar kan vi arbeta var som helst – från hemmet, på tåget eller ute i naturen. Flexibla kontor och delade arbetsytor har blivit allt vanligare, men varför stanna där? Vill du veta hur utekontorsarbete kan skapa hållbara och inspirerande arbetssätt och arbetsmiljöer? Då är det här kursen för dig! Innehåll Arbetsliv i förändring och naturkontaktens betydelse Kontorsarbetets möjliga former och rum – utomhus Utekontoret och det flexibla arbetslivets förutsättningar Outdoor Office Work – Utmaningar och potentialer för en hållbar utveckling Du kommer få kunskap om Hur du kan ta med dig kontorsarbetet utomhus och organisera ditt arbete både enskilt och i grupp. Identifiera fördelarna och utmaningarna med utekontorsarbete för hälsa, kreativitet och välmående. Analysera hur naturen som arbetsmiljö kan bidra till hållbar utveckling och grön omställning i arbetslivet. Implementera praktiska metoder för att integrera utemiljöer i din arbetsdag och skapa flexibla, inspirerande arbetsrutiner. Vem vänder sig kursen till? Kursen är relevant för alla som arbetar på kontor och vill utforska nya sätt att organisera sitt arbete i utemiljöer. Den riktar sig särskilt till chefer och HR-specialister som vill stärka hälsa, kreativitet och produktivitet genom att integrera naturen som en del av arbetsplatsen. Kursen är också anpassad för enskilda medarbetare och arbetsgrupper som söker hållbara och inspirerande arbetsmetoder i utemiljöer. Kursupplägg Kursen lanseras i maj och är en öppen kurs inte kräver några förkunskaper och som kan genomföras online när som helst. Språk Svenska

För att skydda planetens och människors hälsa har Europeiska kommissionen utvecklat ramverket GreenComp. Den här kursen utgår från ramverket för gröna kompetenser, som syftar till att främja hållbarhet genom lärande och kompetensutveckling. Kursen behandlar de fyra huvudområdena i GreenComp: att värdera hållbarhet, att omfamna komplexitet i hållbara utmaningar, att föreställa sig framtida hållbara scenarier samt att agera för hållbarhet. Gröna kompetenser omfattar kunskaper, färdigheter och attityder som gör det möjligt för individer att leva, arbeta och agera på sätt som främjar en hållbar utveckling. Dessa kompetenser är avgörande för att möta dagens miljömässiga och samhälleliga utmaningar, som klimatförändringar och resursbrist, och är en nyckel till att driva den gröna omställningen inom utbildning, arbetsliv och samhällsutveckling. Kursen utspelar sig i en universitetskontext. Innehåll En översikt av GreenComp-ramverkets fyra delar: 1) hållbarhetsvärderingar 2) hållbarhetsutmaningar 3) framtidsvisioner och scenarier 4) agerande för hållbarhet Kursen kontextualiseras i en universitetsmiljö, där ledningens strategiska perspektiv, tjänstepersoners lagstadgade uppdrag, forskares expertis och studenternas utbildningsfokus visar på olika sidor av hållbarhetsfrågan och vad det betyder i olika roller. Kursupplägg Kursens material tar ca en timme att gå igenom. Materialet kan med fördel användas som en start på dialoger i lednings- och arbetsgrupper för att fördjupa sin kompetens om ramverket och om hur nästa steg i ett hållbart agerande kan ta form i den egna organisationen. Kursen består av inspelat material. Det talade språket är både svenska och engelska med engelsk text. Kursen lanseras i maj Du kommer få kunskap om Målet med kursen är att du ska känna till ramverket GreenComp och de delar som ingår i ramverket. Det innebär att du kommer att kunna: utforska värderingar som rör hållbarhet förstå och hantera hållbarhetsutmaningar utgå från framtidsvisioner och scenarier agera hållbart, individuellt och tillsammans med andra Vem vänder sig kursen till? Kursen vänder sig till alla som har ett intresse för hållbarhetsfrågan, de som vill lära sig mer om ramverket GreenComp och för ledningsgrupper och arbetsgrupper på universitet som vill hitta nya vägar framåt i sitt praktiska hållbarhetsarbete.  

Hydrogen is a clean fuel, a versatile energy carrier, and seems to be the answer to the climate change challenge. Why is everyone talking about it, and how is it going to replace traditional fuels? This modularized course provides a comprehensive overview on hydrogen as an energy carrier, with focus on fuel cell as hydrogen conversion technology. Hydrogen production and storage and their role in decarbonization will be covered. Different fuel cell technologies will be analyzed and discussed to present benefits and challenges in the use of hydrogen for power production, urban mobility, aviation, transportation, residential sector and much more. The learners will be able to combine the available modules to create their personalized education based on their needs and get insights on where and when hydrogen can play a role in a carbon-free society.

If you want to learn principles, methods, tools and project strategies for efficient execution of projects in order to gain high quality competence in industrial project management, this course is for you. The course is suitable for you who work in product development, or with improvements in production, or in an administrative project. You will develop knowledge and skills about how to enhance your project management capabilities and deliver predetermined project results. During the course you will work with and relate what you learn to project management in your company. The phases found in projects are covered; establish, execute, hand-over to line organisation and close-out of the project. Organisational aspects of project management are in focus such as leadership, agility, quality management, communication and decision-making.

Would you like to know what Industry 4.0 is about? Then this course is for you! In the course, we look at enabling technologies of Industry 4.0 from a human and industrial perspective. The course covers many topics and you will learn the basic terminology related to Industry 4.0 as well as insight and understanding of the Fourth Industrial Revolution and how it is set to affect industry and individuals.

Do you want to deepen your knowledge in Industrial Internet of Things? In this course, you will gain deeper knowledge and understanding of the Industrial Internet of Things (IIoT), platforms and cloud services used in manufacturing industries. You will learn to understand the use of IoT platforms and how to design and implement simple systems and how to create value by using IoT solutions within industrial systems. The course will provide you with practical and theoretical knowledge in IIoT, platforms and cloud services as well as in-depth knowledge in production, logistics and product development.

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.