The role of clinical psychologists is evolving with the rise of AI. This course explores how AI is shaping clinical practice, including its current and future applications, ethical challenges, and the evolving role of clinicians in this digital age. We will delve into AI’s potential in assessments, therapy, decision support, and more. Course Period 6 weeks, with 6 modules, each consisting of lectures, tasks, and supporting readings. Key Topics Introduction to AI in clinical practice AI's role in assessments, decision support, and therapy Risks, biases, and ethical considerations The future of mental health clinicians with AI Case studies from AI HealthTech Course Structure The course is divided into six modules: Introduction to AI in clinical practice AI ethics and safety History of AI in clinical psychology AI in assessments AI for mental health precision and therapy The future of clinicians and AI Each module includes lectures (videos/interviews), quizzes, and readings. What You'll Learn How AI is currently applied in clinical settings, the ethical and safety implications of AI in mental health, understanding AI’s potential in assessments, therapy, and decision-making and the evolving role of mental health clinicians in an AI-driven world. Who is this course for? This course is designed for psychology students, medical students (psychiatry), and practicing clinicians, including psychologists, psychiatrists, GPs, and nurses interested in the intersection of AI and mental health.

Juliet is a high-level programming language designed for motion programming and automation. Inspired by Julia, it simplifies robot programming while offering powerful tools for controlling movement in various industrial applications. This course provides practical training in Juliet for professionals in automation, robotics, and related fields. Course Period Self-paced, with online testing after each module. Key Topics Introduction to Juliet programming language Writing motion programs with event-based control Practical coding exercises and theory-based questions Integrating Juliet with automation systems Course Structure The course is divided into two parts, learn the Juliet language basics and apply Juliet to create motion programs for automation, focusing on event-driven control. Both parts are followed by mandatory online tests. What You'll Learn How to use Juliet for motion programming, writing code for automation and control systems, understanding event-based programming in industrial contexts and using Juliet to bridge the gap between user intent and physical reality. Who is this course for? This course is aimed at professionals working in automation, manufacturing, construction, energy, and robotics. Prior experience with at least one programming language is required. Perfect for those needing to modernize skills for flexible production environments and secure IT systems.

Learn the essentials of relational databases and SQL in this hands-on course. Explore how databases store and manage data, and gain the skills to query and manipulate data using SQL. Ideal for those looking to understand how databases work and interact with data. Course Period 4 Weeks, flexible schedule. Learn at your own pace with bite-sized lessons and interactive activities. Key Topics Introduction to relational databases Understanding tables and relationships SQL queries for retrieving, storing, and updating data Using SQL with Python Course Structure This is a flexible, self-paced course with practical exercises to help you master SQL. You’ll learn through easy-to-follow lessons and hands-on practice. What You'll Learn How relational databases store and manage data, the basics of SQL: writing queries, inserting, updating, and deleting data and how to integrate SQL queries with your Python programs, Who is this course for? Perfect for anyone wanting to learn about databases and SQL. No prior database knowledge needed, but basic Python skills are required for some exercises.

Discover how climate change is reshaping public health. This course explores the growing connections between a changing climate and health challenges like disease, mental well-being, and societal resilience. Course Period 4 Weeks, flexible schedule. Learn at your own pace with bite-sized lessons and interactive activities. Topics Covered The science behind climate change The rise of infectious diseases in a warming world Impacts on non-communicable diseases, including mental health and cardiovascular issues Adaptation strategies for individuals, communities, and nations Sweden’s unique challenges and policies in focus Course Structure Four modules packed with engaging video lectures, quizzes to test your knowledge, case studies and actionable solutions for a changing climate and curated readings for deeper insights. You will learn Understand the science of climate change and its health impacts, explore how rising temperatures affect diseases and mental health, learn practical solutions for tackling climate-related health issues and focus on Swedish contexts while considering global perspectives. Who is the course for? This course is perfect for healthcare professionals, policy experts, and anyone interested in the intersection of climate and health. No previous experience required—just a curiosity to make a difference.

Understand the global shift to renewable energy. This course dives into the challenges, innovations, and opportunities of transitioning to a sustainable energy future. Course Period 4 Weeks, flexible schedule. Learn at your own pace with bite-sized lessons and interactive activities. Topics Covered Drivers of energy transitions (economic, environmental, and technological factors) Global energy production and consumption trends Renewable energy technologies and storage solutions Smart grids, energy communities, and energy justice Innovations, emerging trends, and policy frameworks Course Structure Short video lessons with expert insights, interactive quizzes and assignments, curated readings and materials for deeper learning and case-based discussions with peers. What You Will Learn Explore the shift from fossil fuels to renewable energy sources, understand energy systems, storage, and smart technologies, analyse challenges and opportunities in energy justice and policy and build skills to lead sustainable energy initiatives. Who is the Course For? Designed for professionals, decision-makers, and students eager to tackle energy and sustainability challenges. Whether you're shaping policies or advancing your career in energy transitions, this course offers practical tools to make an impact.

Discover how nature-based solutions (NBS) can revolutionise urban development. This course focuses on climate action, biodiversity, and well-being, equipping you with practical tools to drive change in cities. Course period 4 Weeks, flexible schedule. Learn at your own pace with bite-sized lessons and interactive activities. Topics Covered NBS for climate adaptation and mitigation Urban biodiversity and social co-benefits Governance and innovation in urban planning Case studies from Swedish municipalities and EU projects Course Structure A practical, credit-bearing online course blending expert-led video lectures and discussions, case-based assignments and real-world examples and optional on-site session for hands-on learning. What You Will Learn Apply NBS to urban challenges like climate adaptation and social resilience, design urban solutions that benefit ecosystems and communities and translate cutting-edge research into actionable strategies. Who is the Course For? Urban planners, sustainability practitioners, and students passionate about climate and urban transformation. Open to professionals and undergraduates looking to create meaningful change.

Explore how synchrotron science transforms industries. Learn cutting-edge analytical techniques to boost innovation in manufacturing, materials science, energy, and healthcare. Perfect for professionals eager to leverage MaxIV’s capabilities. Course Period 4 weeks, fully flexible. Study at your own pace with engaging video lessons and real-world case studies. Topics Covered X-ray absorption and photoelectron spectroscopy (XAS, XPS) Wide- and small-angle X-ray scattering (WAXS, SAXS) Advanced imaging techniques for industrial applications Practical uses in materials analysis, energy solutions, and healthcare innovation Course Structure A dynamic online course with short, expert-led lectures, hands-on virtual labs simulating experiments, practical examples from MaxIV beamlines, interactive discussions and optional advanced modules. What You Will Learn Master core synchrotron techniques like XAS, XPS, and SAXS, apply analytical methods to real-world industrial challenges, prepare and interpret materials data for innovation and navigate cutting-edge imaging and spectroscopy tools at MaxIV. Who is the Course For? Engineers, researchers, and professionals in manufacturing, R&D, and energy. Perfect for anyone with a technical background who wants to apply synchrotron science to industrial innovation.

Learn essential data analysis skills to tackle challenges in public health, environmental studies, and sustainability. Perfect for professionals and students transitioning from spreadsheets to script-based workflows. Course period 4 Weeks, flexible schedule. Learn at your own pace with bite-sized lessons and interactive activities. Topics Covered Data wrangling and cleaning Data visualisation with Python Using real-world datasets in public health and climate studies Reproducible and shareable data analysis workflows What You Will Learn Perform exploratory data analysis and create meaningful visualisations, use Python libraries to clean, organise, and process datasets, transition from spreadsheet-based to script-based data analysis workflows and document and present your work using computational notebooks. Who is the Course For? This course is designed for domain specialists, professionals, and academics who want to gain foundational data analysis skills. Ideal for those working in public health, environmental science, or sustainability-related fields, with no prior programming experience needed.

Learn the fundamentals of computational programming to handle engineering calculations, simulations, and data visualization. Perfect for professionals who want to use Python to solve real-world problems. Course period 4 weeks, flexible schedule. Learn at your own pace with hands-on exercises, engaging tutorials and real-life examples. Content Technical calculations with Python Data input and processing Simulations with NumPy Visualization with graphs You will learn Using Python 3 and libraries for efficient data analysis and simulations, applying NumPy to solve practical problems, effectively visualizing data with graphs, and integrating data from external files into your workflows. Who is the course for? This course is suitable for professionals in manufacturing, construction, urban planning and similar fields who have a basic knowledge of Python and want to deepen their skills in computational programming. Beginners can read the course in parallel with an introductory course in Python.

Explore how artificial intelligence can help analyse and interpret sustainability communication across text and visuals. This course provides a practical introduction to using AI tools, making complex data accessible and actionable for a wide audience. Course period 4 Weeks, flexible schedule. Learn at your own pace with bite-sized lessons and interactive activities. Topics Covered Sustainability Communication: Understand the challenges and nuances of sustainability messaging. Low-Code Python Programming: Learn beginner-friendly Python for content analysis, even with no prior coding experience. Text Analysis with AI: Use Natural Language Processing (NLP) to uncover trends, themes, and sentiments in sustainability-related texts. Image Analysis with AI: Apply computer vision techniques to analyse visual content. Ethical Considerations: Navigate the ethical aspects of AI-driven analysis responsibly. Course Structure Format: 5 modules, 10 lessons, all online.Activities: Video lectures, interactive exercises, and hands-on labs using Jupyter or Quarto notebooks.Time Commitment: Around 3 hours per lesson, designed for flexibility and self-paced learning. What You Will Learn By the end of the course, you’ll be able to use AI tools to analyse large-scale text and image data, track public sentiment and identify emerging trends in sustainability communication, understand and address the ethical implications of AI applications. Who is the Course For? No programming or statistics background is required, the course is ideal for: Sustainability Professionals: Enhance your ability to analyse and communicate sustainability strategies. Academics and Researchers: Gain new methodologies for studying sustainability communication. Data Analysts and AI Enthusiasts: Apply your skills to a socially impactful and growing field. Communications officers: Make the complex more understandable. All you need is a computer, an internet connection, and an interest in sustainability and AI.

As AI seamlessly integrates into our everyday lives—powering everything from healthcare management to financial transactions—it’s becoming increasingly important for everyone to grasp the basics of how it works. By understanding both the benefits and potential drawbacks of AI, you will be empowered to engage confidently in key societal conversations around ethics, privacy, and the broader use of AI.  Course period 4 Weeks, flexible schedule. Learn at your own pace with bite-sized lessons and interactive activities. Topics AI Basics: History, concepts, and terminology Ethical AI: Bias, privacy, and societal impact Practical Skills: Using AI tools and creating prompts Future of AI: Trends and opportunities Course structure 4 modules packed with short video lessons, quizzes, and real-world case studies. Each module is designed to build your understanding step by step. You will learn The key concepts behind AI and its applications, how to think critically about AI’s role in society and gain hands-on skills to leverage AI tools in your life or career. Who Is the Course For? Anyone interested in the subject of AI, like students exploring AI’s impact on their studies or future careers, professionals in non-technical fields who want to stay competitive, parents, educators, and policymakers looking to understand AI better and lifelong learners eager to demystify AI.

Would you like to know what advanced and rapid production is about? Then this course is for you! In the course, we look at enabling technologies for advanced and rapid production from an industrial perspective. The course covers many topics, and you will learn the basic terminology related to discrete and rapid production, connected factories and automation in assembly. You will get an in-depth knowledge, practical skills and strategic insights relevant to modern production paradigms. The course discusses potential benefits and challenges with different possible techniques. Upon completion of the course, you will have a conceptual understanding of key concepts and technologies and how this can be applied in industry. Upon completion of the course the student shall be able to: Show understanding for rapid discrete production and its basic philosophy, strategies and principles. Analyze, plan and implement an improvement project of a production segment in an industrial activity. Show understanding for the various major technology areas within connected factories. Show understanding for various major technology areas regarding automation in assembly. Analyze and describe different basic principles for development and implementation of automation in assembly. Examples of professional roles that will benefit from this course are manufacturing engineers, production managers and automation engineers. This course is given by Mälardalen university in cooperation with Luleå University of Technology. Start and end dates are preliminary. Study effort: 80 hours

I en värld där hållbarhet har blivit en självklarhet är det de mest innovativa lösningarna som kommer att forma framtiden. Den här kursen utrustar dig med verktyg för innovationsarbete som inte bara driver lönsamma affärer, utan också löser miljöutmaningar. KursperiodKursen är helt digital och anpassad för att du ska kunna kombinera den med heltidsarbete Kursens innehållDu kommer att utforska skärningspunkten mellan miljömässig hållbarhet och innovationsledning – två områden som tillsammans kan driva verklig förändring. Kursen fokuserar på affärsmässiga tillämpningar och ger dig praktiska färdigheter för att utveckla både fysiska och digitala produkter. Kursens uppläggGenom verklighetsbaserade case och dina egna arbetsrelaterade utmaningar kommer du att lära dig modeller och metoder som du kan applicera direkt i ditt dagliga arbete. Du kommer få kunskap omKursen ger dig insikter i hur miljömässig hållbarhet och innovationsledning kan integreras för att skapa hållbara affärslösningar. Du får praktiska färdigheter och verktyg för att utveckla både fysiska och digitala produkter. Vem vänder sig kursen tillDen här kursen är för dig som arbetar med miljöfrågor, innovation eller affärsutveckling och vill fördjupa din förståelse för hur dessa områden kompletterar varandra. Du kommer att samarbeta med andra yrkesverksamma och dra nytta av deras erfarenheter, samt få vägledning av ledande experter inom både forskning och praktiskt innovationsarbete. När du ansöker till kursen måste du visa att du har grundläggande behörighet. Om dina gymnasiebetyg inte redan finns på antagning.se, behöver du ladda upp din gymnasieexamen eller motsvarande där när du ansöker. På kursens sida på liu.se kan du se vilka behörighetskrav som gäller för kursen.

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

Vill du vara en del av framtidens produktutveckling med fokus på mer cirkulära och hållbara lösningar? Kursen Produktutvecklingsmetodik med fokus på cirkulära lösningar ger dig både teoretiska och praktiska verktyg för att utveckla produkter som inte bara är innovativa, utan också mer hållbara och anpassade för en cirkulär ekonomi. KursperiodKursen ges under vårens andra läsperiod och är helt nätbaserad för maximal flexibilitet. Kursens innehållI denna kurs lär du dig grundläggande principer för produktutveckling och hur du kan använda metoder som modularisering, förlängning av produktens livslängd och återtillverkning för att skapa lösningar som är bra för både företag, kunder och miljö. I kursen varvas teori och praktiska övningar. Kursens uppläggKursen är helt nätbaserad för maximal flexibilitet. Föreläsningarna hålls live online och spelas in, så att du kan välja att delta i realtid eller ta del av dem när det passar dig bäst. Även de praktiska övningarna sker online. Du lär dig omEfter kursen kommer du att ha fördjupad kunskap om produktutveckling, med fokus på mer cirkulära och hållbara lösningar, en kompetens som är starkt efterfrågat i industrin. Du blir en nyckelresurs i utvecklingen av framtidens mer cirkulära och hållbara produkter. Vem vänder sig kursen tillKursen är idealisk för dig som vill lära dig mer om produktutveckling med fokus på cirkulära lösningar. När du ansöker till kursen måste du visa att du har grundläggande behörighet. Om dina gymnasiebetyg inte redan finns på antagning.se, behöver du ladda upp din gymnasieexamen eller motsvarande där när du ansöker. På kursens sida på liu.se kan du se vilka behörighetskrav som gäller för kursen.

Vill du vara med och forma framtidens hållbara kommuner? Söker du mer kunskap för att driva ett integrerat hållbarhetsarbete inom den kommunala sektorn? Den här kursen ger dig både teoretiska insikter och praktiska tips för att förstå och implementera hållbarhetsstrategier i den kommunala sektorn. KursperiodKursen ges under en flexibel period där du kan ta del av materialet i din egen takt. Kursens innehållKursen syftar till att bidra med förståelse för hur hållbarhetsarbete kan integreras i kommunala organisationer och processer. Du kommer att lära dig mer om både interna och externa faktorer som påverkar hållbarhetsarbetet, och hur kommunala organisationer kan balansera intern hållbarhetsstyrning med extern styrning genom samverkan med andra aktörer, i syfte att påverka omställningen till ett mer hållbart samhälle. Genom att fokusera på både de interna och externa förutsättningarna för hållbarhetsstyrning, bidrar kursen med perspektiv och kunskap kring kommunens roll för hållbar utveckling utifrån ett mer holistiskt perspektiv. Kursens uppläggKursen ges helt på distans och består av förinspelade föreläsningar som du kan ta del av när det passar dig, resurstillfällen i realtid, seminarier samt skriftliga uppgifter. Seminarierna uppmuntrar till erfarenhetsutbyte mellan kursdeltagarna. Varje seminarium följs av en individuell reflektion. Kursen avslutas med en självständig individuell analys där du kopplar kursens innehåll till din egen kommunala verksamhet. Detta arbete redovisas både skriftligt och muntligt vid kursens avslutning. Du kommer få kunskap omEfter avslutad kurs kommer du att ha utvecklat färdigheter och kunskaper som direkt kan tillämpas i din yrkesroll eller i den organisation du verkar i. Vem vänder sig kursen till?Kursen riktar sig till dig som arbetar i en ledande position, i ett hållbarhetsteam eller är nyfiken på hur kommuner kan bidra till hållbar samhällsutveckling. Ta chansen att utveckla din kompetens för att bidra till ett integrerat hållbarhetsarbete i kommuner! När du ansöker till kursen måste du visa att du har grundläggande behörighet. Om dina gymnasiebetyg inte redan finns på antagning.se, behöver du ladda upp din gymnasieexamen eller motsvarande där när du ansöker. På kursens sida på liu.se kan du se vilka behörighetskrav som gäller för kursen.

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.

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

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.