Nuclear power technology has been a major asset since the mid-70s for decarbonizing electricity generation and for decreasing our reliance on fossil fuel. With more than 400 nuclear reactors currently in operation worldwide (more than 90 being in Western Europe) and more than 50 under construction, nuclear reactors will play a significant role for many years to come. By following this course, you will be able to understand the development of this technology from its early days, how it works, its advantages, disadvantages, limitations, and how it may contribute to climate-change mitigation. This course provides a holistic perspective and increased knowledge in nuclear reactor technology.   Topics Part 1: Nuclear power: an old story...: 3 chapters detailing the underlying principles of nuclear reactors for the purpose of understanding the history of the development of nuclear power: Elementary concepts in nuclear physics. Working principles of nuclear reactors. History of world nuclear power development. Part 2: Nuclear reactor technology: 11 chapters focusing on how a nuclear reactor works, with emphasis on Light Water Reactor (LWR) technology. Both the phenomenological and engineering aspects of nuclear reactors are covered. Electricity production. Reactor generations. Light Water Reactor (LWR) technology. Thermodynamic analysis of LWRs. Neutron cycle. Fuel depletion. Reactor control. Reactor dynamics. Reactor operation. Fundamental principles of reactor safety. Nuclear fuel. Part 3: Nuclear power, saving the world? 5 chapters explaining the aspects of nuclear power to be considered in a climate mitigation perspective, and the advantages/disadvantages/limitations of this technology. Nuclear fuel, waste and resources. Proliferation risks. Risks. Cost of electricity. Conclusions.   Course structure and set-up This is a self-paced course made of video lectures and interactive quizzes, which means that you can start and finish the course whenever you want. The course is free of charge. The resources need to be studied sequentially. You cannot bypass given resources unless all previous learning activities were taken: For the video lectures, this means watching the video recording. For the quizzes, this means correctly answering the quiz questions, for which an unlimited number of attempts is allowed. For a few quizzes slightly more involved, you will be able to access the following resources even if you fail to find the correct answer. After completing the course, you will be issued a course certificate. Completing the course means reaching the end of the course, for which you need to have watched all video lectures and attempted all quizzes (the vast majority of the quizzes also require to have found the correct answer to the quiz questions).   Expected amount of work Completing the entire course takes about 40 hours of work. Level of the course Basic. A BSc in Engineering or similar knowledge is required. As all principles presented in the course are derived from scratch, any participant with an engineering background will be able to comprehend the course.

This course has flexibel start and you may join between November 18 and December 9, 2024 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. You may join the course any time between November 18 and December 9, 2024. With the recommended study pace of 25%, the course would take approximately seven calendar weeks to complete. Higher or lower study pace is possible as long as the course is finished no later than February 22, 2025.

The course High-performance Computer Vision in the Cloud provides participants with the necessary tools and skills to navigate large-scale computing infrastructures, emphasizing scalability and performance optimization. Large computing infrastructures can be the key to driving the industry’s green transition. The course recognizes the instrumental role of large computing infrastructures in facilitating a green industry transition, enabling industrial actors to reduce environmental impact and optimize resource utilization, aiming to minimize energy consumption. The course covers concepts such as enabling technologies (e.g., CUDA), distributed computing, multi-core architectures, hardware versus software acceleration, container solutions(e.g., Docker and Kubernetes), as well as metrics and tools for monitoring performance and memory management, providing participants with a comprehensive skill set to lead environmentally responsible solutions in the digital era.  Scheduled online seminars November 18th 2024, 14:30 – 16:00  December 9th 2024, 14:30 – 16:00  December 20th, 2024, 14:30 – 16:00  January 13th, 2025, 14:00 – 16:00 Presentations of the tasks Entry requirements 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.    

The course on Large Language Models for Industry is designed to cater to the demands of industries amidst the global push for sustainability and green transitions. Large Language Models (LLMs) represent a pivotal technology thatcan revolutionize how industries operate, communicate, and innovate. In this course, participants explore the intricate mechanics and practical applications of LLMs within industry contexts. The course covers the principles and technologies spanning from traditional Natural Language Processing (NLP) to Natural Language Understanding (NLU), enabled through the development of LLMs. Emphasizing industry-specific challenges and opportunities, participants learn to utilize LLMs while considering sustainability concerns. Participants gain valuable insights from adapting LLMs to tackle real-world problems through examples and exercises tailored to industry needs. By the course completion,participants are equipped to leverage LLMs as transformative tools for driving industry innovation and, at the same time, advancing sustainability goals. Scheduled online seminars November 14th 2024, 15:00 - 17:00 December 12th 2024, 15:00 - 17:00 January 9th 2025, 14:00 - 17:00 Entry requirements 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.

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. It also aims to provide a broader understanding of the multifaceted nature of safety. The course takes about 80 hours to complete and you can do it at your own pace. There are two scheduled meetings: One after five weeks to resolve any queries and another at the end of the course for the course evaluation. The date and time will be provided within a week of starting of course. Target GroupThis 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. Entry requirements120 university credits of which at least 7.5 credits in software engineering and 7.5 credits in safety-critical systems engineering or 60 university credits in engineering/technology and at least 2 years of full-time professional experience from a relevant area within industry or working life experience regarding application of functional safety standards in the automotive domain or in other domains. The experience could be validated via a recommendation letter of a manager stating the involvement of the student in the development of functional safety artefacts. Proficiency in English is also required, equivalent to English Level 6.

This course has flexibel start and you may join between October 21 and November 17, 2024 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. You may join the course any time between October 21 and November 17, 2024. With the recommended study pace of 25%, the course would take approximately seven calendar weeks to complete. Higher or lower study pace is possible as long as the course is finished no later than January 15, 2025. Scheduled online meetings November 11th 2024 January 15th 2025

The purpose of this course is to introduce security practices within the Software Development Lifecycle (SDLC) at the requirements, design, implementation, verification, and after release stages of software development. This course is the guide to the cybersecurity issues arising throughout the entire development process. We consider the development from the security perspective from the beginning stage until the final release and beyond. The course is adapted to give a solid introduction to non-security-experts mainly and addresses both how professionals (developers, managers, decision-makers) can utilize security to improve (software-based) products/services, and how they are affected by security issues and challenges. Whether you are a software developer in a bank or telecom company, or you are a product manager in a gaming company, this course will be relevant for you.

There is an increasing concern from users regarding the use and leakage of their personal data. Moreover, compliance with privacy regulations is required by the government and privacy should be incorporated by design and by default when developing software-intensive products and services. Hence, privacy has become a top challenge in software development and good privacy measures can improve data security and promote quality.

The course covers different aspects of securing OS and system services to provide the safe environment for running cloud-based services. The following guidelines will be considered during the course as well as pracTical implementation of Windows and Linux platforms hardening using scripts (e.g. PowerShell and Ansible) to provide automation.

This course introduces the concept of secure architecture which implies mitigation of potential confidentiality, integrity, and availability (CIA triad) threats by incorporating security elements such as demilitarized zone (DMZ), Anti-DDoS, load balancing, logging-monitoring-alerting (LMA), and incident response domain as well as by using corresponding security practices at the design stage that include but not limited to analysis of attack surface, threat modeling (STRIDE), and risk assessment (CVSS and OWASP Risk Rating Methodology). The design of secure cloud-based architectures is the primary focus of the course in light of premise-to-cloud migration.

In the era of shift towards green transition, industries face unique challenges and generates numerous opportunities. This course, "Intelligent Asset Management and Industrial AI" is designed to equip professionals with the knowledge and tools necessary to support advanced technologies in achieving environmental sustainability. Industries play a major role in contributing to the global economy that is accompanied with a significant share towards environmental degradation. The growing climatic concerns and degradation of natural resources has urged the need to reduce carbon footprints, minimize waste, and optimize resource utilization such that a green transition is achieved. Intelligent Asset Management and Industrial AI are at the forefront of this transformation offering innovative solutions to enhance operational efficiency, reduce environmental impact and support the industry’s commitment to sustainability. Furthermore, the course can help a professional to optimize the usage of resources, look for energy efficient systems, consider environmental changes, develop sustainable solutions, and integrate advanced technologies towards green transition. This is a problem-based course specific to an industrial sector. The problems can be provided by the course supervisor, or the participants can bring their own problems from their work. Common problems include e.g. asset management by balancing cost against performance, identifying, detecting, predicting, and planning for unexpected outages, disruptions or failures, exploring challenges and opportunities with AI and digitisation, monitoring the condition of industrial assets, and achieving sustainability goals. Target groupThe target group includes individuals working in various industries such as railway, mining, transportation, construction, manufacturing, logistics, energy, and other organizations that are or planning to implement asset management systems. This course can be suitable for professionals ranging from asset managers, maintenance and reliability professionals, operation managers, engineers, project managers, and asset management consultants. Online seminarsDecember 10th at 14.00 to 15.00January 14th at 14.00 to 15.00January 31st at 14.00 to 15.00February 13th at 14.00 to 15.00February 28th at 14.00 to 15.00 Entry requirements Bachelor’s degree of at least 180 ECTS or equivalent, which includes courses of at least 60 ECTS in for example one of the following areas: Maintenance Engineering, Mechanical Engineering, Materials Science, Data Science, Computer Engineering, Civil Engineering, Electrical and Electronics Engineering or equivalent. Or professional experience requirements four to five years of experience in relevant industries.

Business models that efficiently contribute to reduction of material use and waste are key to successful transition towards sustainability. This course has a particular focus on the interplay between business models, product innovation and production processes. Through this course, you will explore the critical relationship between sustainable practices and business strategies, preparing you to contribute meaningfully to the circular economy and sustainable development initiatives. In this course, you will be introduced to systematic working methods for business development in practical contexts, with a specific focus on innovation and creativity. The goal of the course is to provide a deep understanding of the application of various business model practices in different types of development work. The objective is for course participants to enhance their ability to understand and apply business development processes in the manufacturing industry, and gain deeper insights into how these processes relate to organizations' innovation and business strategies in order to achieve circular flows, resilience, and sustainability. The teaching consists of self-study using course literature, films, and other materials through an internet-based course platform, as well as scheduled webinars and written reflections. There are no physical meetings; only digital online seminars are incuded. Study hours 40 hours distributed from week 47, 2024 to week 52, 2024. Webinar 1: November 18Webinar 2: December 3Webinar 3: December 16 The first webinar is November 18, but the course opens on November 11, which means that you by then reach the course material and can start your training. Target GroupThis course is primarily intended for engineers in management or middle management positions within industry, whether they are recent graduates or individuals with extensive experience. The course is suitable for individuals with backgrounds in mechanical engineering, industrial engineering management, or similar educational background. Entry RequirementsTo be eligible for this course, participants must have completed courses equivalent to at least 120 credits, with a minimum of 90 entry Requirement credits in a technical subject area, with at least a passing grade, or equivalent knowledge. Proficiency in English is also required, equivalent to English Level 6. Educational package in circular economyThe course Product/production and business development for circular flows is an introduction of the educational package starting again spring 2024. This course Business development for circular flow together with Product development for circular flows and Production for cirkular flows are free standing independent courses that build on knowledge in the field.

AI systems are increasingly being integrated into various industrial processes, including manufacturing, logistics, and autonomous vehicles. Trustworthy AI ensures that these systems operate reliably, reducing the risk of accidents or costly errors.  Trustworthy AI helps companies comply with ethical standards and legal regulations. It ensures that AI systems do not discriminate against certain groups, violate privacy rights, or engage in other unethical behaviors. Trustworthy AI System course can support in the development of more advanced AI technologies, fostering research collaboration, and attracting talent. 

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.

Learn more about climate change’s impact on society and how you can lead a wide range of transition processes and practically work with climate transitions within different areas. Ongoing and future climate impacts on different parts of society, the attempts to try to build sustainability within planetary boundaries and interconnected international crises’ have created a unique situation concerning the issues’ urgency, complexity and uncertainty. Within this shifting landscape knowledgeable, creative and brave leaders and citizens are necessary to being able to fundamentally change how businesses, regions, municipalities and different organizations work and achieve results. This online course introduces climate science, climate change’s impact on society, different perspectives on the causes and possible solutions to the climate dilemma, climate justice and international agreements, carbon budgets and different climate scenarios, leadership within different contexts on different levels, key areas for successful transitions and different good examples of climate transitions, the individual’s and the collective’s possibilities and responsibilities, and concrete first steps towards transitions work within your work and local context. The Uppsala University learning platform Studium course run will start January 15, 2024 Duration: 5 weeks Weekly study time: 4 hours

Den här kursen ger en inblick i batteriernas värld. Vi använder alla batterier varje dag, men vet du verkligen hur ett batteri fungerar, vad som finns i det, vad det är användbart för och hur forskare försöker förbättra dem för framtiden? I den här introduktionskursen kommer vi att berätta allt från batterigrunderna, till utvecklingen av litiumjonbatteriet, deras tillämpningar och krav, vilka typer av material som används för att bygga batterier, till vad som händer med ett batteri när det är slut. och hur batterier utvecklas för framtiden. Som deltagare i denna kurs har du helst någon form av teknisk bakgrund, troligen läst naturvetenskap på högskola eller till och med på högre utbildning, eller har erfarenhet av ett tekniskt yrke. Förhoppningen är att du efter kursen ska bli mycket mer medveten om batterivärlden, kraven, applikationerna och komponenterna i ett batteri, samt ett bredare perspektiv på hur denna viktiga teknik kommer att utvecklas under det kommande decenniet. Observera att videoinspelningarna i denna kurs är på engelska men är textade på svenska.

A thriving global society relies on the stability of the Earth and its resilience across oceans, forests, waterways, biodiversity, the atmosphere and more. So how do we shape sustainability at a global scale? The boundaries set by the planet’s natural resources, the resilience of those resources, and the human activities that impact sustainability all come into play. In this massive open online course, see the rapidly evolving trends in global environmental change and the responses aimed at slowing or eliminating these changes. Get an overview of what is seen by some scientists as our current geological epoch – the Anthropocene, or an age of global change driven most significantly by humans. Learn how unsustainable patterns of production, consumption and population growth have challenge planetary resilience, all in support of human activity – and how our societies can develop in a just and safe way within the planet’s boundaries. This course is for: * Anyone new to the concept of sustainable development who wants to understand the interplay between human actions and what the planet can support.* Graduate students and advanced undergraduate students interested in the key concepts and practices of sustainability, environmental science, responsible consumption and related topics* Sustainable development practitioners – as well as private-sector actors, such as those who work in corporate sustainability and responsibility – who want a concise overview of the latest developments in the field

With concerns about climate and global environmental changes, extreme events, and increases in social, economic, and political shocks, the concept of resilience is proving popular across a range of sectors as a way to understand and respond to our surprise-riddled world. This concept is now presented in a course led by the Stockholm Resilience Centre and the Centre for Complex Systems in Transitions and includes the latest research and practice on resilience. Resilience thinking includes the ability to persist in the face of challenges, adapt to new realities, or transform to fundamentally new paths for development. Resilience thinking is more than a theory, more than a set of tools. It is a way of seeing the world, offering a new perspective of how change in the world happens. Resilience thinking provides a new approach for building understanding and taking action in a complex world that is deeply interconnected and ever-changing. A world where controlled, planned approaches, existing knowledge and current solutions are not enough to effectively respond to the challenges in a highly dynamic and uncertain future. Addressing poverty, injustice, and inequality, and advancing human well-being remains a major ambition and challenge for the 21st century, and it now needs to consider that development will happen in a context radically different from the past. This course includes case studies and examples from practitioners who are working with resilience concepts in diverse contexts around the world. It is supported by strong scientific evidence and committed to being a platform to bring together and spark collaboration between individuals and organizations from around the world who are driven to transform development. This course is for: Development practitioners, policymakers and managers within development agencies around the world, as well as those working in the field with an interest in resilience thinking as it relates to development policy and practice.Students who are interested in the intersection of resilience, sustainability and development, and with a general interest in both local and global sustainability challengesAnyone with an interest in development, resilience thinking, and sustainability

Vill du få kunskap om hållbar utveckling och vara delaktig att göra en verklig förändring för en mer hållbar framtid? Då är denna kurs för dig! OM KURSENI den här kursen sätter vi fokus på hållbar utveckling och hållbarhetsutmaningar i dagens samhälle. Du får kunskap och förståelse för begreppet hållbar utveckling och hur det kan tillämpas i olika verksamheter. Du får insikt i de miljö- och resursproblem som mänskligheten står inför och  tekniska och politiska styrmedel som kan användas för att lösa dem samt en inblick i de psykologiska faktorer som hindrar eller möjliggör transformation mot en hållbar riktning.  Du lär dig att: Kritiskt reflektera över begreppet hållbar utveckling och skilja mellan normativa värderingar och vetenskapliga fakta och definitioner.Identifiera tekniska möjligheter och begränsningar för att lösa olika problem med tekniska lösningar.Redogöra för politiska styrmedel inom miljöområdet.Förstå förmågor inom Inner Development Goals som är avgörande för att nå en transformation i en hållbar riktning.MÅLGRUPPFör dig som är yrkesverksam och vill få mer kunskap kring hållbar utveckling. Företagsledare eller entreprenörer som vill integrera hållbarhetsperspektiv i din verksamhet och sträva efter en mer hållbar affärsmodell, anställda som vill förstå och bidra till hållbarhetsarbetet i sin organisation, miljö- och hållbarhetsrådgivare och konsulter som vill utveckla sin kompetens och förmåga att stödja olika organisationer i hållbarhetsfrågor, offentliga tjänstemän och beslutsfattare som behöver förstå de politiska styrmedel som finns tillgängliga för att hantera miljö- och resursfrågor och främja hållbar utveckling, samt samhällsengagerade personer som vill ha en ökad förståelse för hållbarhetsfrågor och bidra till en mer hållbar utveckling. GENOMFÖRANDEDu kommer att delta aktivt i digitala diskussioner och samarbeta med andra kursdeltagare för att ta fram nya insikter och tillämpa kursens teorier på egna erfarenheter. Kursen förutsätter självständigt arbete, kontinuerlig textinläsning och aktivt deltagande i undervisningen. Kursen examineras genom teoretiska och praktiska uppgifter som diskuteras och presenteras genom skriftliga och muntliga, individuella och gruppvisa uppgifter som diskuteras och presenteras på obligatoriska seminarier. Kursen är på avancerad nivå och ger 5 högskolepoäng. Undervisningen genomförs på distans via Canvas som är Karlstads universitets lärplattform och genom zoomträffar.  FÖRELÄSARE Fredrik Wikström, professor miljö- och energisystem, och Helén Williams, docent miljö- och energisystem, båda verksamma vid Centrum för tjänsteforskning (CTF) och ämnet miljö- och energisystem vid Karlstads universitet. BEHÖRIGHETSKRAV90 hp varav lägst 30 hp på G2F-nivå eller högre inom samhälls-, beteende- eller naturvetenskap samt minst 2 års arbetslivserfarenhet inom för kursen relevant yrkesverksamhet. Gymnasiets engelska 6. Motsvarandebedömning kan göras. Läs mer och anmäl ditt intresse via kursens webbplats: https://www.kau.se/ctf/ise/transformation-hallbar-utveckling

The Internet of Things (IoT) is a networking paradigm which enables different devices (from thermostats to autonomous vehicles) to collect valuable information and exchange it with other devices using different communications protocols over the Internet. This technology allows to analyse and correlate heterogeneous sources of information, extract valuable insights, and enable better decision processes. Although the IoT has the potential to revolutionise a variety of industries, such as healthcare, agriculture, transportation, and manufacturing, IoT devices also introduce new cybersecurity risks and challenges. In this course, the students will obtain an in-depth understanding of the Internet of Things (IoT) and the associated cybersecurity challenges. The course covers the fundamentals of IoT and its applications, the communication protocols used in IoT systems, the cybersecurity threats to IoT, and the countermeasures that can be deployed. The course is split in four main modules, described as follows: Understand and illustrate the basic concepts of the IoT paradigm and its applications Discern benefits and drawback of the most common IoT communication protocols Identify the cybersecurity threats associated with IoT systems Know and select the appropriate cybersecurity countermeasures Course Plan Module 1: Introduction to IoT Definition and characteristics of IoT IoT architecture and components Applications of IoT Module 2: Communication Protocols for IoT Overview of communication protocols used in IoT MQTT, CoAP, and HTTP protocols Advantages and disadvantages of each protocol Module 3: Security Threats to IoT Overview of cybersecurity threats associated with IoT Understanding the risks associated with IoT Malware, DDoS, and phishing attacks Specific vulnerabilities in IoT devices and networks Module 4: Securing IoT Devices and Networks Overview of security measures for IoT systems Network segmentation, access control, and encryption Best practices for securing IoT devices and networks Organisation and Examination Study hours: 80 hours distributed over 6 weeks Scehduled online seminars:  February 6th 2025, from 13:15 to 16:00 February 26th 2025, from 13:15 to 16:00 March 12th 2025, from 13:15 to 16:00 Examination, one of the following: Analysis and presentation of relevant manuscripts in the literature Bring your own problem (BYOP) and solution. For example, analyse the cybersecurity of the IoT network of your company and propose improvements The number of participants in the course is limited, so please hurry with your application!