Luleå University of Technology

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.

Successful production of sustainable products requires advanced analytical techniques to ensure quality and efficiency. This course provides practical knowledge of methods for analyzing and supporting the production of products for the green transition. Course content Introduction to analytical techniques Quality assurance in production Analysis of sustainability and environmental impact What you will learn Use advanced analytical techniques in production processes Ensure quality and sustainability in production Identify areas for improvement to optimize production Who is the course for? The course is designed for quality managers, production leaders, and engineers working with sustainable production who want to deepen their knowledge of analytical techniques. LanguageThe course is conducted in Swedish and English. Additional informationThe course includes 60 hours of study and is offered for a fee.

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.

The green transition requires support and participation from the entire society to be successful. Citizen dialogue is a crucial part of building understanding, trust, and acceptance for necessary changes. This course explores methods and tools for conducting effective dialogues and engaging citizens in the transition process. Course content Principles of citizen dialogue Methods for engaging diverse target groups Case studies from successful transition projects What you will learn Understand the importance of citizen dialogue in the transition process Plan and conduct dialogues that engage and inform Evaluate the impact of citizen dialogue on the transition process Who is the course for? The course is designed for civil servants, policymakers, and urban planners working with sustainability projects and citizen engagement. It is also relevant for communicators and project managers seeking to improve their ability to lead dialogues related to the green transition. Language The course is offered in Swedish. Additional information The course includes 60 hours of study and is offered for a fee.

Discover the basics of computer vision and its role in Industry 4.0.Humans are in the midst of what is referred to as the Fourth Industrial Revolution, or Industry 4.0: the advent of new technologies that will forever change the face of business, and chief among them is computer vision. This three-week course from the Luleå University of Technology will give you a solid introduction to computer vision and help you explore its effects on industry and business. Once you complete the course, you’ll understand the potential applications of computer vision and be empowered to shape its future. This course will guide you through this journey to have a better understanding of the techniques that stand behind this field, and how you can get the benefit of using CV in your current business. The course will cover he concepts of the following fields, image processing, machine learning, deep learning, and use cases of computer Vision in business. Anyone in industry and academia who wants to boost their digital skills and gain confidence in how computer vision practices have evolved and might add a noticeable positive impact to their business and careers. This may include:  Employees, Executives, Directors, Senior Managers, Founders, and Entrepreneurs  Undergraduates and post-graduates  Researchers, teachers from majors related to business This course will be given in English.

Big data and the algorithms used in data science, together with the corresponding process and its technology tools, have important implications for addressing climate change. From machine learning algorithms to data visualization, data science methods are used to investigate and better understand climate change and its various effects on land, sea, food, etc.Data science is a powerful approach which is capable of helping practitioners, and policy-makers understand the uncertainties and ambiguities inherent in data, to identify interventions, strategies, and solutions that realize the benefits for humanity and the environment, and to evaluate the multiple– and sometimes conflicting–goals of decision-makers. In this MOOC course, we introduce methods pertaining to the growing field of data science and apply them to issues relevant to climate change. Topics Data science Analytics as a process Data-driven decisions Climate change Applications of data science in climate change Course content Understand data science Learn about the sources of big data Understand the basics of climate change, its impacts and sustainable development goals Get to know data-driven decisions and how they are made Highlight some climate change challenges that are directly or indirectly related to data science Apply data science knowledge and skills to make climate change related decisions Learn how others have used data science in association with addressing climate change problems You will learnBy the end of the course, you will be able to: obtain and analyze datasets; make data-driven decisions; identify and address climate change challenges using data science Who is the course for?This course is designed for those who want to improve their analytics and data-driven decision-making skills, with an emphasis on utilizing such skills for addressing climate change challenges. The course will also be useful for practitioners and policy-makers as they can benefit from understanding the uncertainties and ambiguities inherent in data and using it to identify interventions, strategies, and solutions that realize benefits for humanity and the environment.

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.

Starting a business? Learn how to create a business model that ensures your new entrepreneurial venture is successful. Discover and analyse successful business models before developing your own Discover business management tools for building a business model Build essential skills for starting a business This course is designed for anyone who wants to boost their business development skills and learn how to create a successful business model. It will be particularly useful if you are about to start your own business, you’re struggling with your business model, or you need to reinvent your current business model. The course will be given in English.

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.