Mälardalen University

This course is designed for engineers, scientists, operators, and managers interested in utilizing AI-based methods for condition monitoring and prognostics in industrial systems and high-value assets. Participants will learn to identify common failure causes and predict Remaining Useful Life (RUL) using historical data, involving tasks such as data processing, feature selection, model development, and uncertainty quantification. Led by experienced professionals from industry and academia, the course covers the basics of prognostics and introduces various AI methods, including deep learning. It represents state-of-the-art AI-driven prognostic techniques, advanced signal processing, and feature engineering methods.

In this course, we will go through different commands and techniques to create advanced shapes. You will also learn how to analyze the appearance of surfaces and shapes, and you will learn how to use top-down modeling to create models. You will also learn how to create products from sheet metal and products made from standard profiles. The software used is SolidWorks. This course is given in Swedish.

The main goal of this course is to teach you basic knowledge and skills in argumentation.You will be engaged in co-constructing evidence-based justifications as well as in analyzing existing justifications in search of argumentation fallacies. Individual work as well as group-based work will allow you to practice. You will analyze climate-related articles (published in scientific literature but also in the news) and will extract the implicit underlying arguments and provide their analysis.Ultimately, this course will help you to develop basic argumentative skills needed to critically join the debate in society on climate goals. Who is the course for?CLIMATE GOALS, ARGUMENTATION, EVIDENCE is aimed at anyone who is interested in moving the first steps into the argumentation domain with the purpose of joining the debate on climate goals.An engineer (but also a politician) is expected to have founded arguments before taking any (climate-related) action. A citizen is expected to have founded arguments before engaging and sustaining any climate-related political agenda. How is the course structured?The course is a 4-week course. Each week mainly focuses on a single Intended Learning Outcome.

This course will provide a detailed theoretical and practical knowledge in the art of configuring and securing computer networks and create network topologies. Together with Computer Networks I, distance course (Datakommunikation i nätverk I, distanskurs) you will be covering most, but not all, of the content that are part of a Cisco Certified Network Associate (CCNA) certificate. The certificate is not part of this course.

In this course, you will learn what creativity is and how it can be stimulated in problem solving and innovation processes. You will work practically with creativity, complemented by lectures and your own reading of research-based literature. You will do exercises aimed at developing your own creativity and you will try out how to enable a group to work creatively. Long-term sustainability for the world and for businesses requires creativity: the ability to innovate, to solve problems, to find opportunities for development and sometimes to radically change. Many creative processes in the workplace take place in groups, for which there are often no tools. This course will give you the opportunity to make a big difference in the real world. This course is given in Swedish.

You will learn how to assess industrial Augmented Reality threats, their potential impact on the facilities and employees, and how to mitigate these threats. The course will also provide opportunities to apply new knowledge in use-cases of industrial relevance.

Numerical models are used in every engineering task, from conceptual design to optimization, control, and diagnostics. As the process becomes more complex, data driven models are a powerful tool that allows to quantify relationships between available data and observations, which forms the basis for machine learning. Image recognition, spam filtering, and predictive analytics are some examples of how we can use data driven models. This course provides a simple introduction to fundamental techniques for dimensionality reduction, classification, and regression, which can be applied to all types of engineering problems.

This course is for anyone who wants to deepen their knowledge about foresight and scenarios. Scenarios are a tool used in innovation for understanding possible futures and to make decision in the present, among other things. A good background for this course can be a course in Trendspotting or Business environmental scanning or other useful experience. The course can be applied to your own business or profession. You will work on developing your own scenarios, understanding the structure and how scenarios can be communicated to others.

Hydrogen is a clean fuel, a versatile energy carrier, and seems to be the answer to the climate change challenge. Why is everyone talking about it, and how is it going to replace traditional fuels? This modularized course provides a comprehensive overview on hydrogen as an energy carrier, with focus on fuel cell as hydrogen conversion technology. Hydrogen production and storage and their role in decarbonization will be covered. Different fuel cell technologies will be analyzed and discussed to present benefits and challenges in the use of hydrogen for power production, urban mobility, aviation, transportation, residential sector and much more. The learners will be able to combine the available modules to create their personalized education based on their needs and get insights on where and when hydrogen can play a role in a carbon-free society.