Open for the Climate

Deep Learning is one of the most prominent techniques in AI, with the potential to solve complex problems across various domains. This course provides a fundamental introduction to Deep Learning and its applications, with a focus on sustainable solutions. Topics Basics of Deep Learning Common algorithms and methods Applications across various industry sectors You will learn Understand the principles behind Deep LearningImplement basic Deep Learning algorithmsExplore applications for sustainable solutions Who is the course for?This course is designed for data scientists, engineers, and AI practitioners who want to learn the basics of Deep Learning and its applications in solving real-world problems. It is also ideal for professionals looking to implement AI solutions with a focus on sustainability. LanguageThe course is conducted in English. Additional informationThe course includes 15 hours of study and is offered for a fee.  

6G technology represents the next step in wireless communication and has the potential to revolutionize automation through faster and more reliable connectivity. This course explores the potential of 6G in automation processes and how the technology can contribute to sustainable development. Course content • Introduction to 6G technology• Applications in industrial automation• Benefits and challenges of 6G What you will learn • Understand the fundamentals of 6G technology• Analyze and implement 6G solutions in automation• Identify sustainable applications of 6G Who is the course for?The course is designed for engineers, researchers, and professionals in automation and telecommunications who want to explore and implement future 6G technologies. LanguageThe course is conducted in English. Additional informationThe course includes 15 hours of study and is offered for a fee.

Batteries are key for electrifying transportation. They store the energy which is used to power the electric vehicles. This technology shift from internal combustion engines offers several advantages: reduced CO2 emissions, increased efficiency, lower operating costs, less noise. While electric vehicles have made significant advancement during the last decade, challenges remain regarding performance, ageing, safety, cost and sustainability. Moreover, the battery integration to the grid provides a new technology area where large gains can be made in terms of balancing power and use of back-up storage. R&D work in these fields are taking large steps forward at present, both in academia and in industry. This course provides an introductory overview of batteries and their applications in electrification. Participants will gain a fundamental understanding of battery chemistry, performance metrics, and various types of batteries commonly used in today's technologies. The course will also explore the role of batteries in the transition to a sustainable energy future, including their applications in electric vehicles, renewable energy storage, and their role in grid stabilization. Course period Autumn 2025, week 40-47. Topics Module I: Energy storage Fundamentals of electrochemical energy storage, including batteries, supercapacitors, and fuel cells.  Battery chemistry, materials, cell and pack design, battery aging and safety.  Next-generation battery technologies and fuel cell systems, including hydrogen production and storage.  Module II: Vehicle-Grid Interaction The Swedish power system. EV charging infrastructure and equipment. Smart charging and V2G. Grid tariffs and balancing services.  Course structure The course is organized in two modules: Energy storage and Vehicle-Grid Interaction. Within each module, digital lectures will be offered, with possibility of interaction between lecturer and students, and among students. The students will respond to short quizzes to evaluate their understanding of the lectures.  You will learn By the end of this course, students will be able to: Explain the basic principles of battery operation and chemistry.  Understand the role of batteries in the electrification of transportation and energy systems. Analyze the challenges and opportunities associated with battery technology development. Understand potential risks and gains with battery interaction with the grid.    Who is the course for?  This course is primarily designed for  industry professionals who target to be involved in the development, manufacturing, or deployment of battery technologies, electric vehicles and power systems. The course is suitable for people with a background from science and technology education, and seeking to specialize in energy storage and electric vehicles. It also targets researchers working in the field of electromobility. Finally, policymakers and regulators interested in understanding the technical and economic aspects of energy storage and electric vehicle integration are also invited to participate. 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. 

Batteries are a key component of future energy systems and electrification, but their production must become more sustainable. Manufacturing processes need to be optimized to minimize environmental impact while maintaining performance and safety. This course provides an introduction to battery production, covering everything from material selection to manufacturing techniques. Course content Materials and components for battery manufacturing Production processes and quality control Sustainability aspects in battery production What you will learn Understand the fundamental steps in battery manufacturing Identify sustainability challenges and propose improvements Analyze processes to ensure high quality and performance Who is the course for? The course is designed for professionals in the battery industry, materials researchers, and engineers working with production and sustainability issues. It is also suitable for those interested in learning the basics of battery manufacturing for future applications. Language The course is conducted in English. Additional information The course includes 60 hours of study and is offered for a fee.

Chemical processes play a crucial role in the green transition, from producing sustainable materials to reducing emissions. This course provides a fundamental understanding of chemistry and its application in sustainable solutions. Course Content Basic chemistry for the green transition Sustainable chemical processes Environmental and energy aspects of chemical applications What You Will Learn Understand the basics of chemistry related to the green transition Analyze and optimize chemical processes for sustainability Identify applications that minimize environmental impact Who Is the Course For? The course is designed for chemists, process engineers, and other professionals in the chemical industry who want to understand and apply sustainable chemical processes. Language The course is conducted in English. Additional information The course is offered for a fee.

Digital säkerhet, cybersäkerhet, är en nödvändighet för en fungerande samhällskritisk infrastruktur, såsom elsystem, vattenrening, trafik och sjukvård. Detta blir speciellt tydligt då vi går mot en grön omställning av vårt samhälle, då just samhällskritiska funktioner måste fungera och digitalisering av samhällskritiska funktioner ökar, för att vi ska kunna effektivisera olika verksamheter. Och med det följer att cybersäkra lösningar är ett måste, så att samhället och dess medborgare inte drabbas av digitala intrång. I denna kurs kommer exempel tas upp från olika samhällskritiska funktioner, med fokus på elsystemet. Digitala lösningar kommer att behandlas, samt metoder och modeller för cybersäkra system. Innehåll - Samhällskritiska system- Sveriges och Nordens elsystem- Styrning och övervakning av elsystem- Analys av digitala lösningar för elsystem- Informationssäkerhetsbegrepp: konfidentialitet, riktighet och tillgänglighet; spårbarhet.- Internationell ISO/IEC standardisering- Omvärldsanalys Kursens upplägg Allt sker digital på distans, genom Zoom/motsvarande. Föreläsningar – kommer inte att spelas in – varvas med seminarier där olika frågeställningar behandlas i dialog med deltagarna. Kursen startar tisdag 9 sept på eftermiddag och pågår under sex eftermiddagar, där varje tillfälle är 4*45 min. Du kommer få kunskap om Efter kursen ska du ha fått en ökad förståelse för behovet av säkra digitala lösningar samt en bättre medvetenhet (”awareness”) om digitala sårbarheter. Kursen behandlar metoder och verktyg för att stärka en cybersäker miljö, med fokus på samhällskritiska elinfrastrukturer. Vem vänder sig kursen till? Kursen vänder sig till dig som arbetar inom någon samhällskritisk funktion, såsom elbolag, trafikverk, vattenreningsverk eller sjukvårdssystem. Du ska ha en teknisk bakgrund, med kunskap om ditt område där du är verksam. 

Global digitalization generates vast amounts of data, making data-driven decision-making essential for success in many industries. The ability to transform data into actionable insights can enhance business strategies, operational efficiency, and sustainability efforts. This course provides an introduction to data analysis and decision-making using predictive models and machine learning. Participants will be introduced to methods and tools for analyzing data, building predictive models, and making strategic decisions based on data-driven insights. Course content • Fundamentals of data-driven decision-making• Introduction to machine learning and predictive analysis• Tools and methods for data analysis and modeling What you will learn • Understand the basics of data-driven decision-making and its applications• Analyze data using predictive models and machine learning techniques• Develop strategic decisions based on data analysis Who is the course for? The course is designed for business leaders, managers, researchers, and professionals who want to use data-driven analysis to improve business strategies and drive sustainable development. It is also suitable for technicians and analysts looking to build their skills in data analysis and decision-making. LanguageThe course is conducted in English. Additional informationThe course includes 80 hours of study and is offered for a fee.

Electric drive systems are central to the transition toward sustainable transport and industrial solutions. Efficient design and implementation of drive systems can reduce energy consumption and improve performance. This course covers the fundamentals of designing and optimizing electric drive systems for various applications. Course Content Principles of electric drive systems Design for energy efficiency and performance Applications in industry and electric vehicles What You Will Learn Design electric drive systems for different applications Optimize systems for energy efficiency and sustainability Analyze challenges and opportunities in electric drive systems Who Is the Course For? The course is tailored for engineers and developers in the transport and manufacturing industries, as well as professionals working with the electrification of vehicles and industrial systems. Language The course is conducted in English. Additional information The course includes 65 hours of study and is offered for a fee.

Integrated circuits are central to many of today’s technologies, and their design can significantly impact energy efficiency and sustainability. This course introduces techniques for designing integrated circuits with a focus on environmental aspects. Course content Basic design principles for integrated circuits Energy-efficient solutions for electronics designSustainability in integrated circuit development What you will learn Design integrated circuits with a focus on energy efficiency Implement sustainable solutions in the electronics industry Understand the connection between circuit design and environmental impact Who is the course for? The course is designed for electronics developers, engineers, and technicians working with circuit design who want to focus on sustainability and energy efficiency in their solutions. LanguageThe course is conducted in Swedish and English. Additional informationThe course is offered for a fee.

Edge computing enables faster and more energy-efficient data processing directly at the source. In robotics, this can lead to improved performance and sustainability. This course introduces the concept of edge computing and its applications in robotics. Course content • Fundamentals of edge computing• Applications of edge computing in robotics• Energy-efficient solutions for data processing What you will learn • Understand the principles of edge computing• Implement edge computing in robotic systems• Optimize data processing for energy efficiency Who is the course for?The course is designed for engineers, developers, and technicians working with robotics, IoT, and data processing who want to implement energy-efficient solutions in their projects. LanguageThe course is conducted in English. Additional informationThe course includes 15 hours of study and is offered for a fee.

Kursen Ekonomiska beräkningar och analyser av cirkulära affärsmodeller är din möjlighet att fördjupa dig i de ekonomiska verktyg och metoder som driver den cirkulära ekonomin framåt. Kursperiod Kursen ges under vårens andra läsperiod och är helt nätbaserad för maximal flexibilitet. Kursens innehåll Kursen ger dig insikter i hur företag kan skapa värde genom att implementera cirkulära affärsmodeller, med fokus på långsiktigt hållbara lösningar och optimering av resurser. Du lär dig använda relevanta verktyg för att göra ekonomiska analyser, från ett kund- och leverantörsperspektiv, och får kunskap om centrala principer som livscykelperspektiv, avskrivningsmodeller och restvärdeshantering. Kursens upplägg Kursen ges under vårens andra läsperiod och är helt nätbaserad för maximal flexibilitet. Föreläsningarna hålls live online, men spelas även in, så att du kan välja om du vill delta i realtid eller ta del av materialet vid en tidpunkt som passar dig bäst. Genom interaktiva online seminarier får du möjlighet att diskutera verkliga case och ekonomiska utmaningar inom cirkulära affärsmodeller. Du kommer få kunskap om Genom denna kurs får du inte bara teoretisk kunskap, utan även praktisk erfarenhet av att analysera och jämföra cirkulära och linjära affärsmodeller – en kompetens som blir alltmer efterfrågad i både näringslivet och den offentliga sektorn. Vem vänder sig kursen till Den är särskilt lämplig för dig som redan har en bakgrund inom ekonomi och vill fördjupa dina kunskaper i mer cirkulära och hållbara affärsstrategier. När du ansöker till kursen måste du visa att du har grundläggande behörighet. Om dina gymnasiebetyg inte redan finns på antagning.se, behöver du ladda upp din gymnasieexamen eller motsvarande där när du ansöker. På kursens sida på liu.se kan du se vilka behörighetskrav som gäller för kursen.

Är du intresserad av hur modern teknik kan användas för att effektivisera energianvändning? På denna distanskurs lär du dig designa och bygga enklare system för att övervaka och styra en energianläggning, vilket effektiviserar energianvändningen. Perfekt för fastighetsägare, fastighetstekniker, fastighetsskötare och ingenjörer som vill bidra till en hållbar framtid. Kursen behandlar hur modern teknik kan användas för att effektivisera energianvändning i fastigheter och därigenom bidra till ett minskat behov av energi. Detta ligger i linje med en mer hållbar samhällsbyggnad och ger en ökad grad av självförsörjning av den energi vi behöver i samhället. Kursens upplägg Kursen ges som distansutbildning där undervisningen sker via obligatoriska laborationer, föreläsningar samt frågestunder via videokonferenssystem och inspelade filmer. Du förutsätts arbeta relativt självständigt med laborationer och egna projekt. Under kursens gång behöver du ha tillgång till egen Raspberry Pi med tillhörande nödvändig utrustning såsom skärm, mus, tangentbord och strömförsörjning. Kursen är under utveckling, planeras att ges hösten 2025 Kursens pågår under 2 månader Ges på distans med 50% studietakt, vilket motsvarar ca tre veckors studier på helfart Kursen ges i samarbete med industriföretag. Mål med kursen Efter kursen ska du kunna designa och bygga ett enklare system för att monitorera och eventuellt styra en energianläggning i en fastighet. Du ska även kunna koppla samman systemet med ett smarta hem-system för visualisering av data. Målgrupp Den här kursen är för dig som är fastighetsägare eller arbetar inom fastighetsbranschen som fastighetstekniker, fastighetsskötare eller ingenjör.