ADVANCED RAPID PRODUCTION

In this course, you will be made aware of the state-of-the-art in cybersecurity research and state of practice in industry. Cybersecurity vulnerabilities are a threat to progress in the business sector and society. This is an accelerating threat due to the current rapid digitalisation, which in manufacturing is termed Industry 4.0. Companies are aware of this threat and realise the need to invest in countermeasures, but development is hampered by lack of competence.  

If you want to learn principles, methods, tools and project strategies for efficient execution of projects in order to gain high quality competence in industrial project management, this course is for you. The course is suitable for you who work in product development, or with improvements in production, or in an administrative project. You will develop knowledge and skills about how to enhance your project management capabilities and deliver predetermined project results. During the course you will work with and relate what you learn to project management in your company. The phases found in projects are covered; establish, execute, hand-over to line organisation and close-out of the project. Organisational aspects of project management are in focus such as leadership, agility, quality management, communication and decision-making.

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 the course is to provide proficiency in cybersecurity analysis and design in industrial settings, with a special focus on smart factories and Industry 4.0. To achieve this, you will learn about advanced cybersecurity concepts, methodologies and tools. You will also be able to apply your knowledge to industrial case studies.

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

Discover the basics of computer vision and its role in Industry 4.0.Humans are in the midst of what is referred to as the Fourth Industrial Revolution, or Industry 4.0: the advent of new technologies that will forever change the face of business, and chief among them is computer vision. This three-week course from the Luleå University of Technology will give you a solid introduction to computer vision and help you explore its effects on industry and business. Once you complete the course, you’ll understand the potential applications of computer vision and be empowered to shape its future. This course will guide you through this journey to have a better understanding of the techniques that stand behind this field, and how you can get the benefit of using CV in your current business. The course will cover he concepts of the following fields, image processing, machine learning, deep learning, and use cases of computer Vision in business. Anyone in industry and academia who wants to boost their digital skills and gain confidence in how computer vision practices have evolved and might add a noticeable positive impact to their business and careers. This may include:  Employees, Executives, Directors, Senior Managers, Founders, and Entrepreneurs  Undergraduates and post-graduates  Researchers, teachers from majors related to business This course will be given in English.