The purpose of the platform is to contribute to the continued development of industry's skills development through courses specifically aimed at industry professionals, and by making the course offerings from universities easier to find. The platform is developed as a part of a project with the following partners Linnaeus University, Mälardalen University, University West, Örebro University, Teknikföretagen and Swedsoft. The project is funded by Vinnova.
Learn the fundamentals of electromobility in this flexible, teacher-led online course designed for engineers and professionals who want to build a solid understanding of electromobility. Learning Electromobility is a live, teacher-led online course developed by the Swedish Electromobility Centre in collaboration with five leading Swedish universities. Designed for engineers and professionals in the transport and energy sectors, the course supports lifelong learning by offering in-depth knowledge of the technologies and systems that underpin the transition to electric mobility. Spanning ten weeks and divided into five specialised modules, the course covers both personal electric vehicles and electric trucks, ensuring a broad and practical understanding of the entire electromobility ecosystem. You can choose which modules to attend, allowing for a tailored learning experience based on your interests and professional needs. Each module includes preparatory materials, three interactive teaching sessions, and assignments that reinforce learning through real-world applications. When you have completed a module, you will receive a certificate indicating your achievments. The course is administered by Linköping University, which provides the learning platform used in the course. Content The course is divided into five modules, each focusing on a specific aspect of electromobility. Below is a brief overview of the modules: Module 1: EV Energy Management and ControlUnderstand how energy is consumed and managed in electric vehicles. Learn modeling, simulation, and control strategies like Equivalent Consumption Minimization Strategy and dynamic programming. Module 2: Electric Drives and ChargingExplore electric motors, power electronics, and charging systems. Includes design studies and simulation tools for powertrains and infrastructure. Module 3: EV Energy StorageDive into batteries and fuel cells, from electrochemistry to integration and safety. Covers Li-ion, Na-ion, and next-gen storage technologies. Module 4: EV SustainabilityExamine the environmental and societal impacts of EVs. Topics include life cycle analysis, battery recycling, how logistics systems need to be adapted, and how adjusted business models can be made to fit with electrification. Module 5: EV Charging Infrastructure and Grid InteractionLearn about the Swedish power system, smart charging, V2G, and how EVs interact with the grid. Includes economic and regulatory perspectives. Course structure Choose from 5 independent modules, 2 weeks each. There are 3 live sessions per module, 120 minutes each. Each module will have the following timeslots for the session: Monday and Thursday module week 1, Wednesday module week 2. Each session will be between 13:00-15:00, except the very first session that will be between 13:00-16:00, since it includes an introduction to the course. You will learn General learning outcomes for the course: Explain the key technologies and principles underlying electric vehicles, including energy storage, electric drives, and vehicle energy management. Analyze the technical, economic, and environmental impacts of electric vehicle systems across their lifecycle, including integration with the power grid. Evaluate solutions for sustainable electromobility by applying systems thinking to vehicle design, energy usage, charging infrastructure, and societal adaptation. Who is this course for? This course is designed for professionals in the engineering and technology sectors. This course is developed jointly by Chalmers University of Technology, KTH, Linköping University, Lund university and Uppsala University.
This course addresses the urgent need to transition metallurgical industries towards sustainable, carbon-free practices. Designed for industrial professionals and researchers, it provides comprehensive understanding of both environmental impacts and cutting-edge technological solutions transforming metal production. The curriculum begins with the context and imperative for sustainable metallurgy within global climate frameworks. You will explore alternative reduction technologies, studying hydrogen-based processes, electrolysis, and innovative techniques while evaluating your technical feasibility and real-world applications. The course examines sustainable energy integration challenges, focusing on renewable sources, storage technologies, and grid strategies essential for industrial implementation. Special attention is given to hydrogen's revolutionary role in metallurgy, covering production methods, applications in metal processing, safety considerations, and infrastructure requirements. Through a culminating entrepreneurial project, you will develop innovative solutions by forming interdisciplinary teams to address specific challenges, creating business plans and presentations while maintaining reflective learning journals. This transformative educational experience builds both theoretical knowledge and practical skills, enabling you to become an effective change agent driving the decarbonization of metallurgical processes—an essential step toward industry's sustainable future. Course content Mapping Emissions in Metallurgical Systems Low-Carbon & CO₂-Free Metallurgy Technologies Integrating Hydrogen & Renewables into Metallurgical Operations Infrastructure, Supply-Chain Logistics & Plant Retrofitting You will learn to Analyze the environmental impact of traditional metallurgical processes and articulate the strategic importance of CO₂-free alternatives within global climate frameworks Evaluate breakthrough hydrogen-based reduction technologies, electrolysis methods, and other innovative approaches for sustainable metal production Develop strategies for integrating renewable energy sources into metallurgical operations, addressing intermittency and storage challenges Apply comprehensive technical and economic assessment methods to evaluate the feasibility of implementing carbon-neutral solutions in industrial settings Design transformation roadmaps for existing metallurgical facilities transitioning to low-carbon production methods Lead change initiatives within organizations by applying entrepreneurial thinking to overcome technological, economic, and social barriers to sustainable metallurgy Target group The course is designed for professionals at the intersection of metallurgy and sustainability who are driving industrial transformation towards carbon neutrality. It's ideal for Industrial PhD students and researchers exploring sustainable metallurgical processes Process engineers and technical managers in metal production facilities Sustainability and environmental compliance specialists in metallurgical industries R&D professionals developing next-generation metal production technologies Industrial strategists planning long-term decarbonization pathways Technology developers and entrepreneurs working on clean-tech solutions for metals production
Understanding and optimizing battery performance is crucial for advancing electrification, sustainable mobility, and renewable energy systems. This course provides a comprehensive overview of battery performance, ageing processes, and modelling techniques to improve efficiency, reliability, and service life. Participants will explore battery operation from a whole-system perspective, including its integration in electric vehicles (EVs), charging infrastructure, and energy grids. The course covers both physics-based and data-driven modelling approaches at the cell, module, and pack levels, equipping learners with tools to monitor, predict, and optimize battery performance in real-world applications. Through this course, you will gain the ability to assess battery health, model degradation, and evaluate second-life applications from both technical and economic standpoints. Course content Battery fundamentals and degradation mechanisms Battery modelling Battery monitoring and diagnostics Operational strategies for battery systems Techno-economic performance assessment Battery second-life applications You will learn to: Explain the principles of battery operation and degradation mechanisms. Develop battery performance models using both physics-based and data-driven approaches. Apply methods for State of Health (SOH) estimation and Remaining Useful Life (RUL) prediction. Analyze key factors influencing battery lifespan economics in different applications. Evaluate battery second-life potential and identify suitable applications. Target group: Professionals in energy, automotive, R&D, or sustainability roles Engineers and data scientists transitioning into battery technologies Technical specialists working with electrification, battery management systems, or energy storage
Why markets for electricity? How do they function? This introductory course explains how incentives shape outcomes in the electricity market. It brings out the implications for businesses and society of electricity pricing in the shadow of the energy transition. The course aims to provide a comprehensive overview of the electricity market's role in ensuring an efficient electricity supply and addressing key public questions, such as What is the purpose of the electricity market? Why do electricity prices vary by location? How can electricity prices surge despite low production costs? Are there alternative ways to sell electricity? Why is international electricity trading important? The course emphasizes the role of economic incentives in shaping market behavior and addresses critical issues such as market power and its consequences. You will also explore the inefficiencies stemming from unpriced aspects of energy supply and the role of regulation in mitigating these inefficiencies. As the global push toward decarbonization accelerates, the course delves into the challenges posed by large-scale electrification, the implications of climate legislation for energy systems, and the impact of protectionist national policies. The course offers a comprehensive introduction to the electricity market, provides you with analytical tools for independent analysis and brings you to the forefront of current energy policy debate. The course will enable you to Describe the interaction between the electricity system and the electricity market. Explain how the electricity market can increase the efficiency of electricity supply, e.g. with respect to market integration. Show how market power reduces the efficiency of the electricity market. Categorize fundamental market imperfections and describe their solutions. Explain economic and political challenges associated with the green transition. Apply economic tools to analyze the electricity market and examine how changes to the electricity system and regulation affect market outcomes. Target group This course is designed for engineers and managers eager to enhance their understanding of electricity markets within the context of the industrial green energy transition. The purpose is to increase the understanding of the scope of the electricity market and its role in achieving efficient electricity supply. Study effort: 80 hrs
The main goal of the course is to look into Virtual and Augmented Reality and investigate how this technology, together with the recent developments in AI and Robotics, support sustainability and green transition. The course starts with a brief overview of the concept of reality and virtuality and looks into some fundamentals of human perception and action. It explores, for example, how we build mental representations and why we perceive some artificially created experiences as real even when we know that they are fictional. We will also apply the concept of artificial sensory stimulation to other living organisms and look into experiments on virtual reality for other animals and even ants. The course then proceeds to look into the fundamental research in reality-virtuality continuum and an overview of relevant technologies. We will see how modern graphics and rendering technology allows to “hijack” human sensory input and how tracking technologies allow to collect data from human actions. This vital concept and technology part will serve as a foundation to discuss further questions related to application of Virtual and Augmented Reality. Those include ethics of extended reality applications, for example related to neuroplasticity effects of virtual reality or user profiling, or cybersecurity aspect of possible user identification. However, the main focus of the course is on sustainability and green transition. The course looks beyond the potential ability of virtual and augmented reality technologies to reduce the need for physical travel (e.g. through telepresence), and discusses such topics related to Industry 5.0. For example, design and simulation, where modern technology allows to reduce the needs for physical prototyping and helps to optimize product development processes, or industrial process optimization through digital tweens, or immersive training and education, allowing adaptive learning pace for each student. The course includes an invited lecture with industry professionals. Recommended prerequisites: At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English A" from the Swedish Upper Secondary School. Online meetings (estimated dates): -January 15 -Februry 5 -March 19 Study hours: 80 This course is given by Örebro University.
This course explores the role of intelligent sensor systems in driving sustainability and enabling the green transition. Participants will learn the fundamentals of sensor technologies and their integration into intelligent, distributed systems. Emphasis is placed on applications in energy efficiency, environmental monitoring, and sustainable automation. The course covers topics such as basic sensor technologies, embedded systems, distributed computing, low-resource machine learning approaches, and federated learning for privacy-preserving, decentralized model training across sensor nodes. Through a combination of lectures, practical examples, and hands-on project work, participants will gain experience in designing and deploying intelligent sensor systems tailored to real-world sustainability challenges. The students bring their own case study example as the background for a practical project, through which the student is also finally examined. Recommended prerequisites: At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English A" from the Swedish Upper Secondary School. Online meetings (estimated): 14 Oct.: Introduction11 Nov.: Project Idea16 Dec.: Project Presentation Study hours: 80 This course is given by Örebro University.
This course has a Swedish version. Look for a course with the title "Varför välja trä till nästa byggprojekt?" Course DescriptionDifferent types of biomaterials (e.g., wood) are crucial in the challenge of decarbonizing the built environment and reducing the carbon footprint of buildings and infrastructure by replacing materials like steel and cement, which have high carbon dioxide emissions. At the same time, we must not forget that it is important to preserve biodiversity and the social values of our forests. The 13 modules of the course cover many forestry related subjects, including harvesting methods, biodiversity, forest management, logistics, the role of forests in the climate transition, carbon storage, environmental benefits of multi-story buildings with wood, and more. The goal is that participants will gain a shared understanding of Swedish forestry so that they can make well-informed decisions about material choices for their next construction project. Course PeriodThe course will be active for 3 years. ContentForest history: The utilization of forests in Sweden throughout the past yearsForestry methods and forest managementForest regenerationWood propertiesForest mensurationForest tree breedingThe forest's carbon balanceBusiness models and market development: Focus on wood high risesNature conservation and biodiversity in the forest Course StructureThe course is fully digital with pre-recorded lectures. You can participate in the course at your own pace. Modules conclude with quizzes where you can test how much you have learned.You will learn aboutUpon completion of the course, you will have learned more about various forest-related concepts, acquired knowledge of forest utilization in Sweden throughout the past years, increased your understanding of forest management and how different management methods affect biodiversity in the forest, and learned about the forestry cycle—from regeneration to final harvesting, etc. Who is this course for?This course is designed for professionals such as architects, municipal employees working with urban planning and construction, individuals in the construction and civil engineering sector, and those in other related fields. This is an introductory course and will contribute to upskilling of the entire construction sector, thereby increasing the industry's international competitiveness while also providing important prerequisites for the development of future sustainable, beautiful, and inclusive cities. Since the course is open to everyone, we hope that more groups, such as students, doctoral candidates, forest owners, and others with an interest in forestry, will take the course and engage with inspiring lectures where scientific knowledge primarily produced within SLU (Swedish University of Agricultural Sciences) is presented.For more iformation contact course coordinator dimitris.athanassiadis@slu.se
Hydrometallurgy is vital for the green transition and the growing production and need for critical metals. In hydrometallurgy, metals are produced with the help of liquids instead of high temperatures, this approach requires less energy and can be used on complex materials. The course provides knowledge about hydrometallurgical processes used for the extraction and recovery of metals from various primary and secondary raw materials. It focuses on the theory behind unit operations such as leaching, separation, and metal recovery, as well as environmental management of waste products. The content is delivered through online-accessible lectures, interactive seminars, guest lectures, and laboratory exercises. Through quizzes, assignments, and presentations, students are trained to apply theoretical principles and understand the technological environmental challenges in the field. The course is designed to enable studies besides daily work. Study hoursHydrometallurgy is vital for the green transition and the growing production and need for critical metals. In hydrometallurgy, metals are produced with the help of liquids instead of high temperatures, this approach requires less energy and can be used on complex materials. The course provides knowledge about hydrometallurgical processes used for the extraction and recovery of metals from various primary and secondary raw materials. It focuses on the theory behind unit operations such as leaching, separation, and metal recovery, as well as environmental management of waste products. The content is delivered through online-accessible lectures, interactive seminars, guest lectures, and laboratory exercises. Through quizzes, assignments, and presentations, students are trained to apply theoretical principles and understand the technological environmental challenges in the field. The course is designed to enable studies besides daily work. SeminarsSeminar lab: December 10th 2025 at 16:00-18:00 Seminar assignments: January 14th 2026 at 16:00-18:00 Entry reqirements180 credits in science/technology, including a basic course in chemistry of 7.5 credits (e.g. Chemical Principles, K0016K). Good knowledge of English, equivalent to English 6 or equivalent real competence gained through practical experience. Target groupProfessionals in industry, academia or institute, everyone that fulfills the criteria is welcome but the course is created for further education.
Do you want to deepen your understanding of hydrogen gas behavior in various scenarios—and at the same time strengthen your role in the green transition? This course provides knowledge of both controlled and uncontrolled reactions in hydrogen systems, with a focus on safety, efficiency, and practical application. The course content is: · Unignited releasesExpanded and under-expanded jets · Ignition of hydrogen mixturesPiloted and spontaneous ignition · Deflagrations and detonationsVented and non-vented deflagrationsVented and non-vented detonationsDDT, deflagration to detonation transition · Jet flamesFroude-based correlationsBlow-off phenomenonJet flame characteristics Study hours40 hours distributed over 5 weeks SeminarsNovember, 14th at 11:00-12:30November, 28th at 11:00-12:30December, 12th at 11:00-12:30 Dates and times can be discussed online among participants once the course starts. It is ok to eat lunch during the seminars. Target groupThis course is aimed at professionals working in or entering fields related to safety of hydrogen handling and hydrogen infrastructure. Specifically, it is relevant for engineers and technical professionals in all fields where hydrogen is used. Entry requirementsBachelor's degree of at least 180 ECTS, or equivalent, which includes courses of at least 60 ECTS in engineering and/or natural sciences. Alternatively other courses and practical experience. The latter can be validated through an interview or written test. ExaminationIn order to pass the course the student must:- Attend the three compulsory online meetings.- Write an essay which is reviewed by other students and approved by the teacher.- Pass four compulsory quizzes. Education providerLuleå University of TechnologyTeacher: Michael Först
As an energy carrier, hydrogen plays a crucial role in decarbonization and the future of a low-carbon society, where hydrogen production is one of the most important steps in the hydrogen chain. Hydrogen itself can be produced from different processes, and different colors were used to identify the environmental impact, where green hydrogen has been identified as the best in the future. However, the green hydrogen covers only about 1% of the world's production, even with increasing interest. Therefore, learning more about the green hydrogen production will be essential to reach the goal. In the course of hydrogen production, different technologies will be briefly discussed, and the green hydrogen production via water electrolysis or biomass gasification will be the focus, where the principle, component, process, together with sector coupling, will be discussed, and the state-of-the-art and the potential will be covered. To combine with specific implementation and special interests, one seminar, together with a report, will be arranged. It is expected that after this course, basic knowledge of hydrogen production technologies as well as their state-of-the-art and challenges will be clarified; Specific knowledge on the green hydrogen product from principle to the process will be provided, and the students can propose their ideas on how to promote green hydrogen production. Course StartSeptember, 22nd 2025 Seminars- September, 22nd 2025 at 13:00- Week 41, date and time to be decided- October 24th, 2025 at 13:00 Study hours40 hours over 4 weeks time Target GroupThis course is aimed at professionals working in or entering fields related to energy, sustainability, and environmental technologies and is especially beneficial for those with an interest in green hydrogen production and its practical implementation within the broader context of a low-carbon society. Specifically, it is relevant for: Engineers and technical professionals in the energy sector who want to deepen their understanding of hydrogen technologies. Researchers and scientists focused on renewable energy, decarbonization, or green technologies. Policy makers and energy consultants involved in shaping or advising on energy transition strategies. Project managers and business developers working in the development or implementation of hydrogen-based projects. Graduate students and academic professionals pursuing advanced studies or research in energy systems, chemical engineering, or environmental science. Entry RequirementsMOOC Hydrogen for sustainable solutions. Other courses or practical experience. This can be validated through and interview or written test. Please note that the number of participants for this course is limited, so we encourage you to apply as soon as possible! Education providerLuleå University of TechnologyTeacher: Xiaoyan Ji
The course is taught in English Quality control and defect detection are crucial in most industrial production processes. With modern technologies in Artificial Intelligence (AI), these processes can be automated and enhanced through image-based quality inspections, known as vision systems. This course provides you with a clear understanding of how neural networks work and how they can be used to create effective AI systems for quality control in industry. In the course, you will learn how neural networks function, particularly for image processing, and how different types of networks can be used for various image-based tasks. The course also addresses challenges that may arise with data when training neural networks. Through practical exercises, you will develop a simple AI-based quality control system using appropriate software tools. Who is the course for?This course is aimed at professionals working in the industrial sector who want to learn more about how AI and neural networks can be used to improve quality control. It is particularly useful for engineers, technical experts, and IT specialists working with automation and production efficiency. After completing the course, you will be able to: Describe and explain how neural networks operate for image-based tasks, Discuss different types of networks and how they can be applied to various image-based tasks, Understand data-related challenges that may occur when training neural networks, Implement AI systems for quality control using standard software tools. Course formatThe course is designed to be combined with professional work, meaning: The course is delivered online with pre-recorded lectures, It is a short course (3 ECTS credits) with a study pace of 20% (approximately 8 hours per week over 10 weeks). The instruction is primarily conducted in English. Entry RequirementsIf you do not meet the formal entry requirements, you may have your eligibility assessed based on prior learning, including skills and knowledge acquired through work experience, other studies, and more. Read more at his.se/sokwiser. Developed within WISERThe course is developed within the WISER project. We offer tailored courses for digital transformation aimed at professionals. The project is co-financed by the Knowledge Foundation (KK-stiftelsen) within the framework of Expertkompetens. For more information, visit: his.se/wiser.
The course is taught in English Modern Artificial Intelligence (AI) is based on the idea that models can be constructed through training using data. Different design choices regarding both the type of model and the training procedure can be crucial for the final result. This course covers the fundamentals of modeling from the perspective of various uncertainties that may arise. The course is based on a theory that often serves as a foundation for uncertainty modeling within the fields of artificial intelligence, machine learning, and data science. The goal in these fields is often to extract knowledge and use models for decision-making or prediction. The course addresses key concepts and tools for probabilistic modeling, as well as programming techniques to efficiently handle data and build models. Specifically, so-called probabilistic programming will play a central role as a modeling tool throughout the course. Who is the course for?The course is aimed at professionals in industry who want a deeper understanding of uncertainties that can arise during modeling in the AI field. After completing the course, you will be able to: demonstrate the use of tools for programming with data, show understanding of fundamental concepts related to uncertainty and probabilistic modeling within AI/data analysis, demonstrate the use of tools for probabilistic modeling, analyze, assess, and show understanding of training results in terms of uncertainty, and analyze a model’s performance by exploring uncertainty using visualization. Course formatThe course is designed to be combined with work, meaning: The course is delivered online with pre-recorded lectures,It is a short course (3 ECTS credits) with a study pace of 20% (approximately 8 hours per week over 10 weeks).The language of instruction can, depending on the course occasion, be either Swedish or English. If the course is taught in Swedish, some parts may still be conducted in English. Entry RequirementsIf you do not meet the formal entry requirements, you may have your eligibility assessed based on prior learning, knowledge and competencies you have acquired in other ways, such as work experience or other studies. Read more at his.se/sokwiser. Developed within WISERThis course has been developed as part of the WISER project. We offer tailored courses for digital transformation aimed at professionals. The project is co-financed by the Knowledge Foundation (KK-stiftelsen) within the framework of Expertkompetens. For more information, visit: his.se/wiser.
Undervisningen ges på svenska. Viss undervisning på engelska kan förekomma. Att etablera en datadriven kultur i en grupp eller i ett team är inte lätt. En datadriven kultur innebär att gruppens medlemmar ofta använder olika typer av verktyg för att analysera data och diskuterar sina insikter, innan de fattar beslut. I den här kursen får du lära dig hur mognadsgraden av datadriven kultur kan etableras och mätas i en befintlig grupp. Lär dig förstå vad datadriven kultur är och hur mognadsgraden kan analyserasKursen består av två delar: en mognadsanalys och en åtgärdsplan. Först kommer du att få genomföra en mognadsanalys av datadriven kultur i en befintlig grupp i din egen verksamhet. Mognadsanalysen är baserad på tidigare forskning inom Analytics och grupputveckling (ex Wheelans modell). Utifrån genomförd mognadsanalys kommer du att få ta fram en åtgärdsplan som är förankrad i aktuell forskningslitteratur. Vem är kursen för? Kursen riktar sig till dig som är yrkesverksam och intresserad av att lära dig mer om hur en datadriven kultur kan etableras och analyseras i en grupp eller ett team. Efter avslutad kurs kan du: genomföra en mognadsanalys av datadriven kultur i en grupp, och ta fram en åtgärdsplan som är förankrad i aktuell forskningslitteratur för hur en grupp skapar förutsättningar för en ökad mognadsgrad. Kursformat Kursen är i sin utbildningsform och omfattning tänkt att kombineras med arbete. Det innebär bland annat att: Kursen ges online och genomförs genom självstudier samt enstaka frivilliga schemalagda tillfällen där du får möjlighet att träffa övriga kursdeltagare och kursens lärare. (Dessa träffar sker på distans via Zoom) Det är en kort kurs (3 Högskolepoäng) med en studietakt på 10 %. Undervisningen bedrivs främst på svenska, moment på engelska kan förekomma. Behörighet Om du inte uppfyller de formella behörighetskraven kan du få din behörighet bedömd på reell kompetens, kunskap och kompetens som du har fått på annat sätt, såsom arbetslivserfarenhet, övriga studier med mera. Läs mer under his.se/sokwiser. Utvecklad inom WISER Kursen är utvecklad inom projektet WISER. Vi erbjuder skräddarsydda kurser för digital transformation och riktar sig till dig som är yrkesverksam. Projektet samfinansieras av KK-stiftelsen inom ramen för Expertkompetens. För mer information besök: his.se/wiser.
Climate transition is one of the greatest challenges humanity has ever faced. This course explores a range of key topics and practical tools for mitigating climate change in a sustainable way. It emphasizes the importance of solutions that do not lead to higher energy consumption or increased extraction of natural resources from the Earth. The course begins by introducing the basic components of the Earth system and how they behave across continents and oceans, with a focus on historical climate changes. Climate change is then examined within a broader context, alongside other planetary boundaries—many of which have already been crossed and have direct or indirect impacts on the climate. The course also covers the fundamentals of climate change and explores methods used to study the evolution of greenhouse gases. Various strategies for removing and storing atmospheric carbon dioxide are discussed, along with the challenges and limitations of each approach. A key focus is placed on circular economy practices, such as remanufacturing old products and producing energy and biofertilizers, which are presented as effective technologies for directly mitigating climate change. Finally, the course addresses the crucial role of climate communication and politics in raising public awareness and driving collective action to tackle this global issue. Content Planetary components and behavior Changes in the continents and in the oceans Planetary Boundaries Climate Change fundamentals Monitoring green house gases Carbon dioxide removal Circular economy and biogas solutions Climate communication and politics Course Structure The course is fully digital with pre-recorded lectures. You can participate in the course at your own pace. You will learn By the end of the course, you will have gained a deeper understanding of key concepts related to climate change and learned how to approach its mitigation in a sustainable way. You will explore various technologies and strategies, along with their real-world limitations and challenges. In addition, you’ll learn about the vital role that climate communication and politics play in shaping public awareness and driving the behavioral and policy changes needed to address this global issue. Who is this course for? This course is designed for anyone interested in climate change and the transition toward a more sustainable future. As an introductory course, it provides essential knowledge to help participants understand the basics of climate change and explore practical tools for mitigating its impacts. The focus is on applying sustainable practices, technologies, and behaviors that reduce environmental harm—especially by avoiding increased energy consumption and the extraction of new natural resources. Open to all, the course welcomes a diverse audience from various backgrounds. Whether you're a student, professional, or simply a concerned citizen, you’ll find value in the engaging lectures, which feature scientific insights primarily developed at Linköping University.
Improve work environments using RAMP (Risk management Assessment tool for Manual handling Proactively)! In this course, you practice using all four modules in the RAMP tool to manage musculoskeletal (MSD) risks. You become skilled in managing the whole risk management process and get to work with authentic cases from the business community. MSDs are one of the most common reasons for absence from work today. It leads to reduced productivity and quality losses at companies, as well as increased medical costs. This course is part three of a RAMP program. The other courses are Assessment of Work-Related Injury Risks using RAMP I and Risk Management of Work-Related Injuries using RAMP II.
Improve work environments using RAMP (Risk management Assessment tool for Manual handling Proactively)! In this course, you learn to use all four modules in the RAMP tool to manage musculoskeletal (MSD) risks. This includes, for example, how to present results from risk assessments and how to create action plans for improvement. MSDs are one of the most common reasons for absence from work today. It leads to reduced productivity and quality losses at companies, as well as increased medical costs. This course is part two of a RAMP program. The other courses are Assessment of Work-Related Injury Risks using RAMP I and Proficiency in using RAMP for Risk Management of Work-Related Injuries.
Improve work environments using RAMP (Risk management Assessment tool for Manual handling Proactively)! In this course, you will get an overview of the entire RAMP tool and learn to identify and assess musculoskeletal disorder (MSD) risks using the RAMP tool’s first module, RAMP I. MSDs are one of the most common reasons for absence from work today. It leads to reduced productivity and quality losses at companies, as well as increased medical costs. This course is part one of a RAMP program. The other courses are Risk Management of Work-Related Injuries using RAMP II and Proficiency in using RAMP for Risk Management of Work-Related Injuries.
This course is taught in Swedish. Get started with measuring and running a systematic sustainability program! This course is mainly aimed at small and medium-sized enterprises. Using concrete tools such as the Green Performance Map (GPM) and Quality Function Deployment (QFD), you will be supported in identifying relevant sustainability goals and translating them into metrics. The course shows how to integrate sustainability work into daily improvement work, how to create anchoring in the organization, and how psychological security, leadership and culture are key factors for long-term change. You will also gain insight into how metrics affect motivation, behavior and management - and how to balance between controlling and leading metrics.
Climate adaptation is the process of adjusting to current or expected climate impacts to reduce harm and, where possible, capitalize on potential benefits. This course provides an introduction to the core concepts, strategies, and challenges associated with climate adaptation and risk management, such as: Climate change impacts and fundamental concepts like risk and vulnerability Key principles and strategies of climate adaptation Tools used by scientists and practitioners to assess climate risk and monitor solutions Global adaptation challenges, including financing and transboundary cooperation
Om kursen Klimatförändringarna är inte bara en miljöfråga – de är en av vår tids största utmaningar för folkhälsan. Hälso- och sjukvårdssektorn arbetar för att förebygga ohälsa och ge en god vård, men bidrar samtidigt till stora klimatpåverkande utsläpp som hotar människors hälsa på sikt. I denna kurs får du kunskap om klimatets påverkan på hälsa, policyprocesser och konkreta strategier för att integrera klimatarbete i vårdsektorn – en nödvändig kompetens i arbetet för framtidens hälsa. Kursen riktar sig till vårdpersonal, hälsoplanerare, folkhälsostrateger och beslutsfattare som vill förstå hur klimatförändringar påverkar folkhälsan och hur vården kan bidra till en hållbar utveckling. Kursens upplägg Kursen ges på distans och genomförs online under två kursveckor. Undervisningen bygger främst på föreläsningar och grupparbeten med inslag av självstudier. Deltagarna får möjlighet att diskutera, analysera och problematisera klimatförändringarnas hälsopåverkan samt strategier och policyprocesser för hållbar omställning inom hälso- och sjukvården. Mål med kursen Efter genomgången kurs ska deltagarna ha: Kunskap om klimatförändringarnas påverkan på hälsa, från global till lokal nivå. Förståelse för de hälsovinster som klimatomställning kan medföra. Insikt i hälso- och sjukvårdens roll, ansvar och möjligheter att bidra till klimatarbetet. Kunskap om policyprocesser från global till nationell nivå och hur de stödjer hälso- och sjukvårdens klimatomställningsarbete. Förmåga att analysera och problematisera samverkan mellan olika aktörer samt kommunikationens roll i förändringsprocesser. Målgrupp Kursen riktar sig till verksamma inom hälso- och sjukvården som vill fördjupa sin kunskap om klimat och hälsa, inklusive: Vårdpersonal Hälsoplanerare Folkhälsostrateger Politiker och beslutsfattare inom hälsoområdet Kursen ger en plattform för yrkesverksamma att utbyta erfarenheter och utveckla strategier för att integrera klimathänsyn i hälsosektorns verksamhet. Anmälan För frågor om anmälan kontakta maria.nilsson@umu.se