LEAN PRODUCTION - KTH LEANCENTRUM

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 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.

I den här kursen får du en ökad förståelse för vad digitalisering och digital transformation innebär. Du lär dig mer om varför digitalisering kan vara ett bra sätt att utveckla en verksamhet samt hur du kan arbeta systematiskt med den förändringsprocess som digitalisering innebär. Detta kan hjälpa dig att förbättra effektiviteten och innovationsförmågan i din organisation samt bidrar till att utveckla din kompetens. Vad innebär digitalisering och digital transformation och hur kan företag och organisationer arbeta med digitalisering? Det är frågor som du kommer lära dig mer om här. Kursens tar utgångspunkt i digitalisering som tillämpning av digital teknik i företag och organisationer och behandlar samspelet mellan tillämpning av digital teknik och organisationsförändring. Kursen består av följande moduler: Introduction to digitalisation and digital transformation sätter fokus på digitalisering och digital transformation och hur digitalisering kan användas för effektivisering och innovation. Business development through digitalisation introducerar olika modeller för digitalisering och digital transformation där deltagarna ges möjlighet att praktisera några av dessa i sin verksamhet, till exempel modeller för kartläggning av digital mognad och verksamhets- och förändringsanalys. Data driven organizations and data use berör data som resurs vid utvecklingsarbete, till exempel verksamhets-, produkt-, tjänsteutveckling). Deltagarna introduceras i hur data kan utgöra resurs för olika användningsområden, i olika kontext och vilka nyttor och värden som kan förväntas och realiseras med hjälp av data. Leadership and organization in the age of digital transformation fokuserar på ledning och organisering av digital transformation och hur agila arbetssätt, perspektiv och värderingar kan stötta den pågående förändringsprocess som digitalisering medför.  Diskussionsinnehållet i kursen tas delvis fram av och samskapas av deltagarna själva genom att de tillämpar teorier, begrepp och modeller på egna erfarenheter. Kursen förutsätter självständigt arbete, kontinuerlig textinläsning samt aktivt och reflekterande deltagande i undervisningen. Kursen vänder sig till dig som är yrkesverksam och som vill utveckla din kompetens inom digitalisering och digital transformation, förändringsledning och hur digitalisering kan användas för effektivisering och innovation i företag och organisationer. Den passar exempelvis dig som är chef, projekt- eller processledare eller som arbetar med affärs- och verksamhetsutveckling samt IT-frågor.  Kursen är på avancerad nivå och ger 5 högskolepoäng. Den riktar sig till dig som är yrkesverksam och ges på deltid så att studier och arbete kan kombineras. Undervisningen sker på svenska och engelska och genomförs på distans via Canvas som är Karlstads universitets lärplattform. Kursen är kostnadsfri. Antal platser är begränsat. Läs mer och anmäl ditt intresse till nästa kursomgång hösten 2024: https://www.kau.se/ctf/ise/digitalisering-och-digital-transformation

Do you want to learn the basics of Industry 4.0, at your own pace, whenever you want? Then the MOOC (Massive Open Online Course) Introduction to Industry 4.0 is for you. You will learn basic terminology and theory while gaining insight and understanding of the fourth industrial revolution and how it affects us. The MOOC: Introduction to Industry 4.0 is part of MDU's investment in smart production. The course is divided into ten modules, each of which describes different technologies in Industry 4.0. We estimate that it will take about 40 hours to complete the course and it is in English. The MOOC can also give you eligibility to apply for these 3 university courses at Mälardalen University: Internet of things for industrial applications, 5 credits Simulation of production system, 5 credits Big data for industrial applications, 5 credits

This course looks at where important materials in products we use every day come from and how these materials can be used more efficiently, longer, and in closed loops. This is the aim of the Circular Economy, but it doesn’t happen on its own. It is the result of choices and strategies by suppliers, designers, businesses, policymakers and all of us as consumers. In addition to providing many cases of managing materials for sustainability, the course also teaches skills and tools for analyzing circular business models and promotes development of your own ideas to become more involved in the transition to a Circular Economy. You will learn from expert researchers and practitioners from around Europe as they explain core elements and challenges in the transition to a circular economy over the course of 5 modules: Module 1: Materials. This module explores where materials come from, and builds a rationale for why society needs more circularity. Module 2: Circular Business Models. In this module circular business models are explored in-depth and a range of ways for business to create economic and social value are discussed. Module 3: Circular Design, Innovation and Assessment. This module presents topics like functional materials and eco-design as well as methods to assess environmental impacts. Module 4: Policies and Networks. This module explores the role of governments and networks and how policies and sharing best practices can enable the circular economy. Module 5: Circular Societies. This module examines new norms, forms of engagement, social systems, and institutions, needed by the circular economy and how we, as individuals, can help society become more circular.

In this course, participants are introduced to key notions and concepts evolving in sustainability science that are relevant to all, independent to one's work or field of interest. After having completed the course, participants will have a better understanding of the vocabulary used today and should demonstrate the ability to reflect critically to integrate different perspectives of environmental, social, and economic sustainability to their specific area of interest or research. Throughout the course, links are made to the Agenda 2030 for Sustainable Development, as our current global road map towards sustainability, and how new approaches and solutions are emerging to describe, understand and address key sustainability challenges. Put simply, the overall aim is to give participants the knowledge and confidence needed to present and discuss ideas with others by applying methods, concepts and the vocabulary exemplified in the course with a more holistic view on the sustainability agenda across topics and disciplines. The course is designed as 5 modules: The first module presents essential concepts within sustainability science, and methods used to describe, frame, and communicate aspects of sustainability. We look at key questions such as what we mean with strong or weak sustainability, resilience, tipping points and the notion of planetary boundaries. We also look at some techniques used of envisioning alternative futures and transitions pathways. The second module is all about systems thinking and how systemic approaches are applied today to achieve long-term sustainability goals. Your will see what we mean with systems thinking and how systems thinking, and design is applied in practice to find new solutions. The third module touches upon drivers for a sustainable future, namely links to economy and business with an introduction to notions of a circular economy, and also policy and regulatory frameworks. We introduce the basics of transformative policy frames and how they are designed and applied through several real-case examples. The fourth module discusses the links between innovation and sustainability, highlighting approaches for technological, social, institutional, and financial innovations. Some examples (or cases) aim to show how different actors across society balance in practice the need for innovative approaches for social, environmental, and economic sustainability. The fifth and last module provides general insights on how we work with models to create various scenarios that help us identify solutions and pathways for a more sustainable world. Three main dimensions are addressed namely climate and climate change, nature and biodiversity, and the importance of data and geodata science to support spatial planning and sustainable land use.