Applications 2024-12-08
COURSE DESCRIPTION
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
You will learn
Understand the principles behind Deep Learning
Implement basic Deep Learning algorithms
Explore 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.
Language
The course is conducted in English.
Additional information
The course includes 15 hours of study and is offered for a fee.
The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Smart Healthcare with Applications, 4 credits Who is this course for?The course suits you with any Bachelor’s degree (equivalent of 180 Swedish credit points / ECTS credits at an accredited university) who have an interest in applying Artificial Intelligence (specifically Machine Learning) to healthcare. Leadership/management experience in health-related organization/industry OR a Bachelor degree in computer science is advantageous. What will you learn from this course?Healthcare as a sector together with other health-related sources of data (municipalities, home sensors, etc.), is now in a place and can take advantage of what data science, Artificial Intelligence (AI), and machine learning (ML) have to offer. Information-driven care has the potential to build smart solutions based on the collected health data in order to achieve a holistic fact-based picture of healthcare, from an individual to system perspective. This course aims to provide a general introduction to information-driven care, challenges, applications, and opportunities. Students will get introduced to artificial intelligence and machine learning in specific, as well as some use cases of information-driven care, and gain practice on how a real-world evidence project within information-driven care is investigated. What is the format for this course?Instruction type: The lectures, announcements, and assignments of this course will be fully online via a learning management system and presented in English. Each lecture is delivered through a video conference tool with a set of presentation slides displayed online during each class session. Online practical labs (pre-written Python notebooks) are also provided in the lectures.
The aim of this course is that students will learn about the analysis, design, and programming of deep learning algorithms. The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Applied Deep Learning with PyTorch, 5 credits Who is this course for?This course provides the theoretical and practical aspects of deep neural networks. It is intended for students with a background in computer science and engineering. What will you learn from this course?Students will learn about the analysis, design, and programming of deep learning algorithms. The course has two modules: theory and practice. The theoretical content covers basic principles of multi-layer perceptions, spatio-temporal feature extraction with convolutional neural networks (CNNs), and recurrent neural networks (RNNs), classification and regression of big data, and generating novel data samples using generative models. The practical sessions cover the basics of programming with PyTorch. For instance, image classification and semantic segmentation using CNNs, future image frame prediction with RNNs, and image generation with generative adversarial networks. What is the format for this course?Instruction type: Teaching is in English and fully online. It consists of lectures, computer exercises, and project work. In the computer exercises, the student solves small problems using deep learning models. After programming various exercises, the participants will develop an advanced deep learning project. Participants will be encouraged to bring their own data. High-end GPU machines can be provided for the exercises and project.
The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Critical design and practical ethics for AI, 3 credits Who is this course for? Artificial Intelligence (AI) is being increasingly implemented and used in society today. It has already proven to have an impact on the individual, organization and society, and this impact will most likely only increase. Therefore, it is important to understand the ethical issues that may arise from use of AI, as well as to adopt a critical stance to the technology’s impact. The course introduces critical and ethical issues surrounding data and society, to train the student to problematize and reason about artificial intelligence (AI). You are most likely a designer, innovator, or product manager that works with digital services and products. What will you learn from this course? The course deals with different perspectives on AI and its real and potential effect on organizations and society. The course is based on five different perspectives on AI: accountability, surveillance capitalism, power and bias, sustainability, and trust. The course material consists of recent and relevant literature on the impact of, and critical perspectives on AI. Active discussions founded in different ethical perspectives are also an important part of the course. What is the format of this course? This course is primarily self-paced, with a few synchronous meetings. Most activities are based on the student’s having consumed specified material beforehand, such as video lectures, podcasts, articles, and books. Active discussions, both in online forums and during synchronous meetings, are an important part of the course.
Opens in May 2025. The Swedish version of the course, namely ”Varför välja trä vid nästa byggprojekt?” is already open. For more iformation contact course coordinator dimitris.athanassiadis@slu.seCourse 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. Content Forest history: The utilization of forests in Sweden throughout the past years Forestry methods and forest management Forest regeneration Wood properties Forest mensuration Forest tree breeding The forest's carbon balance Business models and market development: Focus on wood high rises Nature 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.
Utforska teknikerna bakom den gröna omställningen och lär dig om förnybar energi, energiomvandling och kritiska råmaterial för att kunna värdera energiteknologier och deras miljöpåverkan. Det här är för dig som vill förstå tekniker inom den gröna omställningen. Du lär dig om förnybar energi, energiomvandling och de kritiska råmaterial som driver utvecklingen. Efter kursen kan du beskriva och värdera energiteknologier och deras miljöpåverkan. Kursen går igenom olika energiteknologier inom den gröna omställningen, med fokus på tekniker som kopplar till förnybar energi och de processer som rör energiomvandling. Kursen utgår från ett materialperspektiv och syftar till att ge dig en förståelse för tillämpningar som energiomvandling i bränsleceller och batterier, vätgasproduktion genom elektrolys, artificiell fotosyntes, omvandling av solenergi till värme eller elektrisk energi i solfångare och solceller.Kursen ger också en överblick till andra förnybara energisystem såsom vindkraft, biomassa och vattenkraft, och hur dessa kan samverka i ett systemperspektiv i ett hållbart samhälle. Kritiska råmaterial är viktiga för den gröna omställningen, men de kan vara svåra att få tag på eller farliga för människor och miljö vid utvinning eller användning. Kursen tar upp problematiken kring dessa material och belyser sätt att minska beroendet genom alternativ eller effektivare användning. Kursens upplägg Kursen kan läsas både som MOOC-kurs och poänggivande kurs. MOOC-kursen är öppen att söka för alla oavsett bakgrund eller yrkeskategori och kräver inga förkunskaper. MOOC-kursen är en fortbildningskurs och ger inga högskolepoäng. Anmälan till MOOC-kursen görs genom att skicka ett mejl med ditt namn till mooc.fysik@umu.se. För de som är intresserade finns möjlighet att läsa kursen som en poänggivande kurs (3 högskolepoäng) och då gör man en avslutande tentamen. Anmälan till den poänggivande kursen görs genom att klicka på ”Apply here” nedan. Ingen kurslitteratur krävs, men hänvisning till material på webben eller artiklar kan förekomma. Kursen består av 10 föreläsningar (7 är förinspelade och 3 ges ”live”) på vardera 2 x 45 minuter, följt av diskussioner: Introduktion till den gröna samhällsomställningen Energi och energiomvandlingar Vindkraft Solceller och solvärme Batterier Vätgas - elektrolysörer och bränsleceller Det framtida energisystemets utformning Kritiska råvaror PFAS och miljöaspekter kring den gröna omställningen Resursanvändning, återvinning och återbruk Mål med kursen Efter avklarad kurs kan du: Förstå grundläggande begrepp kring den gröna omställningen, såsom land- och havsbaserad vindkraft, solceller, solvärme, vätgas, elektrolysörer, bränsleceller, Li-jon batterier, kritiska råmaterial och PFAS. Förstå grundläggande begrepp inom energi och energiomvandling såsom energi, effekt, energidensitet och verkningsgrad. Översiktligt beskriva processer som rör bränsleceller, batterier, solfångare, solceller och elektrolysörer.Förstå effektiviteten för olika processer vad gäller omvandling från en energiform till en annan, såsom värme till mekanisk energi, solljus till kemisk energi och kemisk energi till elektrisk energi. Beskriva materialspecifika egenskaper som är viktiga för funktionen för tillämpningar inom olika förnybara energisystem. Förklara grundläggande begrepp såsom global uppvärmning, energibalans och miljömässig hållbarhetFörstå grundläggande begrepp såsom kritiska råmaterial och vilka metoder och strategier som finns för att minska samhällets behov av dessa. Målgrupp Kursen riktar sig till dig som vill få en bättre förståelse kring de tekniker som diskuteras flitigt i samband med den gröna omställningen. Kursen passar både studenter på eftergymnasial nivå och yrkesverksamma så som till exempel politiker, journalister, ingenjörer och lärare. Anmälan För anmälan till MOOC-kursen skickar du ett mejl med ditt namn till mooc.fysik@umu.se. Då kommer du att få tillgång till kursmaterialet på lärplattformen Canvas (från och med 10 mars 2025). För anmälan till den poänggivande kursen klickar du på ”Apply here” nedan.
About the courseRenewable hydrogen stands out as a highly promising solution to decarbonize heavy industries and transportation sector, helping to achieve the climate goals of Sweden- reaching net zero emissions by 2045. The terms renewable hydrogen, clean hydrogen or green hydrogen refers to hydrogen produced from renewable energy or raw material. The utilization of renewable hydrogen for industrial applications necessitates the development of the entire value chain, from generation and storage to transport and final applications. Unlocking the potential of hydrogen economy in Sweden involves not only technological advancements and infrastructure development but also a skilled workforce. This course offers an introduction of renewable hydrogen as a pivotal component for industrial applications, focusing on its generation, storage, transport, and utilization within industrial contexts. Participants will gain a comprehensive understanding of the technical, economic, and environmental aspects of renewable hydrogen technologies, such as electrolysis, fuel cell, and hydrogen storage and distribution solutions, preparing them with essential knowledge and foundational insights for advancing the decarbonization of industrial processes through the adoption of hydrogen-based energy solutions. Aim and Learning OutcomesThe goal of this course is to develop a basic understanding of renewable hydrogen as a pivotal component for industrial applications, focusing on its generation, storage, transport, and utilization within industrial contexts.The learning outcomes of the course are to be able to: Explain the fundamental knowledge and theories behind electrolysis and fuel cell technologies. Compare and describe the differences of existing renewable hydrogen generation technologies (PEM, AE, AEM, SOE, etc.), and existing fuel cell technologies (PEMFC, MSFC, SOFC, etc.. Describe the principles of hydrogen storage, including gas phase, liquid phase, and material-based storage and thermal management of storage systems. Identify the challenges of hydrogen transportation and be able to describe relevant solutions. Examples of professional roles that will benefit from this course are energy and chemical engineers, renewable and energy transition specialists, policy makers and energy analysts. This course will also support the decarbonization of hard-to-abate industries, such as metallurgical industry and oil refinery industry, by using renewable hydrogen. This course is given by Mälardalen university in cooperation with Luleå University of Technology. Scheduled online seminars April 22nd, 2025May 19th, 2025 Study effort: 80 hours