OPERATING SYSTEM SECURITY HARDENING

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 has the objective to provide proficiency in cybersecurity analysis and design in industrial settings, with a special focus on smart factories and Industry 4.0. To that aim, you will learn about advanced cybersecurity concepts, methodologies and tools. You will also be able to apply your knowledge to case-studies of industrial relevance.

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

Explore the different tools and software to design, test, and prototype custom robot parts and robust robot behaviour. In recent years, industries around the world have been getting creative when it comes to incorporating robotics into their workflows. This three-week course offers a fascinating introduction to software and tools currently used in robotics. You’ll build basic knowledge of robotics tools and learn how they can be adapted for different industries. Familiarise yourself with Ubuntu operating system and Gazebo framework Gain hands-on experience using 3D robotics models in simulation Learn from the experts at the cutting edge of control engineering, robotics, and AI This course is designed for anyone interested in using robotic solutions in their role and who wants to learn the basics of robotics frameworks. The course will be given in English.

Kursen syftar till att ge en introduktion till praktisk AI, med fokus på grundläggande maskininlärning. Syftet är att förstå hur man kan skapa AI-system med hjälp av maskininlärning, få inblick i teknikens möjligheter och begränsningar, samt få en överblick över vanliga metoder för maskininlärning. Du kan börja läsa kursen i stort sett när du vill då kursen är en online-kurs med flexibel antagning. Du gör ansökan till den termin du tänker börja läsa kursen. Vill du börja direkt så ansöker du till innevarande termin. Termin väljer du här ovan, så kommer du till rätt ansökningstillfälle.  Kursen är en distanskurs som görs i egen takt och hanteras i sin helhet i en web-baserad kursmiljö. Kursen baseras på självstudier av kursmaterialet och examineras med självrättande tester och inlämningar. Du som har gjort Elements of AI, Part 2: Building AI kan anmäla dig till den här kursen för att få dina resultat validerade. Detta innefattar att göra ett valideringstest med frågor motsvarande de som finns i Elements of AI, Part 2: Building AI för att säkerställa att det verkligen är du som gått igenom kursen. För mer information se denna länk. Kursen handleds över internet. Observera att du vid ansökan till kursen måste kunna styrka att du har grundläggande behörighet. Om dina gymnasiemeriter inte redan finns på dina sidor på antagning.se så behöver du ladda upp gymnasieexamen, eller motsvarande, på antagning.se i samband med din ansökan.Denna kurs kan du också läsa via vår samarbetspartner Nitus lokala lärcentra, som finns på ett flertal platser i Sverige. Läs mer via denna länk.

This course is taught in Swedish. Lean production consists of a set of principles and techniques, which are included in the business's systems and processes. These can be derived into a particular business philosophy and strategy that encompasses the entire organization's operations. The course lays the foundation for continued broader and deeper studies of how operations are run at the new generation of world-leading companies with a Lean business strategy. This starting course covers the following topics: Strategies and principles for Lean production Stable processes and standardized working methods Design of value streams Pulling and pushing production systems Quality philosophy and quality methodology Teamwork, commitment and participation Management system with PDCA methodology Business collaboration along value flows Transformation to a Lean corporate culture Course structure Five two-day meetings consisting of discussion lectures, practical exercises and analyzes of operations in companies that practice Lean methodology. Course literature Jeffrey Liker, The Toyota Way, Liber, 2009 Modig & Åhlström, This is Lean Petersson et al., Lean turns deviations into success, 2009 Target group People within organizations considering and Lean business strategy. See all courses that KTH Leancentrum offers