Our 16,000 students read courses and study programmes in Business, Health, Engineering and Education. We conduct research within all areas of education and have internationally outstanding research in future energy and embedded systems. Our close cooperation with the private and public sectors enables us at MDH to help people feel better and the earth to last longer. Mälardalen University is located on both sides of Lake Mälardalen with campuses in Eskilstuna and Västerås.
In this course, you will learn about common air pollutants and how to manage and control air pollution. The course gives you enhanced knowledge about relevant aspects of modern air quality management systems based on regulations and policies related to ambient air quality management in the EU and Sweden.
Are you interested in learning more about the untapped potential of spectral imaging applied to environmental systems? If so, join this course and learn how spectral imaging can be used for control and optimization of environmental technology and come up with novel application ideas that can benefit society.
Statistics is vital in every field and in this course, you will learn the role it can play in the field of sustainable development. You will learn certain statistical tools, how to apply them, and ways of thinking about results that will aid you in your studies and future career.
In contrast to learning how to do manual testing, in this course you will learn how to generate tests automatically in the sense that test creation satisfying a given test goal or given requirement is performed automatically. This course provides an understanding of automating software testing using program analysis with the goal of intelligently and algorithmically creating tests. The course covers search-based test generation, combinatorial and random testing while highlighting the challenges associated with the use of automatic test generation.
The manufacturing industry collects increasingly large volumes of big data, that is, data at high speed, generated from a wide range of sources in different formats and quality levels. But what is data without insight? This course will help you master the fundamental concepts of big data, cloud computing and smart decision-making for industrial analytics. Designed specifically for manufacturing sector professionals, this Master’s course provides knowledge and insights in handling and processing data, using machine learning and data analytics in the cloud environment. You will learn machine learning-based solutions for industrial applications, such as smart decision-making and predictive maintenance, using state of the art cloud platform tools.
Do you want to deepen your knowledge about maintenance and dependability? Then this course is for you. The course focuses on the value of dependability in production systems and how maintenance contributes to the achievement of optimal dependability. A well-designed maintenance programme starts with the design of the production system, from the procurement of new equipment, to system service life.
In this course we will discuss the need for experimental measurements in fluid mechanics and heat transfer, the challenges involved, and how to choose the best method for each application. You will learn about commonly used methods to measure the flow of gases and liquids. You will also learn about methods to measure heat transfer, which is relevant for cooling of high temperature parts in small and large engines for power generation.
The course will give insights in fundamental concepts of machine learning and actionable forecasting using predictive analytics. It will cover the key concepts to extract useful information and knowledge from big data sets for analytical modeling
This course deals with model-based testing, a class of technologies shown to be effective and efficient in assessing the quality and correctness of large software systems. Throughout the course the participants will learn how to design and use model-based testing tools, how to create realistic models and how to use these models to automate the testing process in their organisation.
In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course also presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.