GRUNDERNA I KRYPTOGRAFI

Den här kursen ger dig som ingenjör eller beslutsfattare de nödvändiga verktygen för att framgångsrikt balansera ekonomiska och miljömässiga mål i arbetet med grön omställning. Du får kunskaper och färdigheter om matematiska och beslutsteoretiska metoder i arbetet med grön omställning. Kursen ges på distans och inkluderar föreläsningar och projektarbete. På kursen går vi igenom metoder inom optimering och industriell ekonomi med tillämpning på hållbar utveckling. Vi tar också upp metoder för scenariogenerering, flermålsoptimering (multi-objective optimization), scenariobaserad optimering, optimering under risk och osäkerhet. Du får även kunskap om metoder för att koppla resultat från optimeringsmodeller till ekonomiska faktorer för beräkning av skuggpriser och för att analysera effekter av skatter, utsläppsrätter, regleringar samt åtgärder mot en mer cirkulär ekonomi. Kursens upplägg Kursen ges på distans, med 25% studietakt. Förkunskapskrav: Ingenjörsutbildning eller motsvarande samt att du har grundläggande kunskaper i optimeringsmetoder. Startdatum: Planerad start vårterminen 2026. Kursen inleds med ett mindre antal föreläsningar som beskriver olika metoder samt ett projektarbete där några av de metoder som lärs ut i kursen tillämpas på verkliga problemområden. Examination sker genom ett projektarbete där du får tillämpa någon eller några av de metoder som du lärt dig på kursen, på ett verkligt problem kopplat till ditt yrkesområde. Mål med kursen Kursen ger dig kunskaper och färdigheter om matematiska och beslutsteoretiska metoder för att stödja företag och organisationer i arbetet med grön omställning. Målgrupp Den här kursen riktar sig till dig som är yrkesverksam ingenjör eller liknande, och som arbetar med eller har ett intresse för miljö och hållbarhetsfrågor.   Mer information om kursstart och anmälan publiceras inom kort.

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.

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

Batteries and battery technology are vital for achieving sustainable transportation and climate-neutral goals. As concerns over retired batteries are growing and companies in the battery or electric vehicle ecosystem need appropriate business strategies and framework to work with.This course aims to help participants with a deep understanding of battery circularity within the context of circular business models. You will gain the knowledge and skills necessary to design and implement circular business models and strategies in the battery and electric vehicle industry, considering both individual company specific and ecosystem-wide perspectives. You will also gain the ability to navigate the complexities of transitioning towards circularity and green transition in the industry.The course includes a project work to develop a digitally enabled circular business model based on real-world problems. Course content Battery second life and circularity Barriers and enablers of battery circularity Circular business models Ecosystem management Pathways for circular transformation Design principles for battery circularity Role of advanced digital technologies Learning outcomes After completing the course, you will be able to: Describe the concept of battery circularity and its importance in achieving sustainability goals. Examine and explain the characteristics and differences of different types of circular business models and required collaboration forms in the battery- and electric vehicle- industry. Analyze key factors that are influencing design and implement circular business models based on specific individual company and its ecosystem contexts. Analyze key stakeholders and develop ecosystem management strategies for designing and implementing circular business models. Explain the role of digitalization, design, and policies to design and implement circular business models. Plan and design a digitally enabled circular business model that is suitable for a given battery circularity problem. Examples of professional roles that will benefit from this course are sustainability managers, battery technology engineers, business development managers, circular developers, product developers, environmental engineers, material engineers, supply chain engineers or managers, battery specialists, circular economy specialists, etc. This course is given by Mälardalen university in cooperation with Luleå University of Technology Study effort: 80 hrs

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 The course will start in the autumn 2025. Dates will be published in August.

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.