-
DURATION20 WEEKS
-
SUBJECT AREASoftware Engineering
-
COURSE LEVELSecond Cycle
-
CREDITS2.5 HP
-
INSTITUTIONMälardalen University
-
STUDY TYPEDistance
-
START DATE2022-08-29
-
END DATE2023-01-15
COURSE DESCRIPTION
This course makes you acquainted with the concept of systems-of-systems (SoS), which means that independent systems are collaborating. It gives you an understanding why SoS is an important topic in the current digitalisation and provides a theoretical and practical foundation for understanding important characteristics of SoS. It also gives you a deeper knowledge in a number of key concerns that need to be considered when engineering SoS.
Admitted students to this course may join the course any time between August 29 and October 7, 2022. With the recommended study pace of 25%, the course would take approximate seven calendar weeks to complete. Higher or lower study pace is possible as long as the course is finished no later than January 15, 2023.
courses you may also like
This course will teach you how to build convolutional neural networks. You will learn to design intelligent systems using deep learning for classification, annotation, and object recognition.
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.
The rapid development of digital technologies and advances in communications have led to gigantic amounts of data with complex structures called ‘Big data’ being produced every day at exponential growth. The aim of this course is to give the student insights in fundamental concepts of machine learning with big data as well as recent research trends in the domain. The student will learn about problems and industrial challenges through domain-based case studies. Furthermore, the student will learn to use tools to develop systems using machine-learning algorithms in big data.
The aim of this course is to provide participants with the principles behind model-driven development of software systems and the application of such a methodology in practice. Modelling is an effective solution to reduce problem complexity and, as a consequence, to enhance time-to-market and properties of the final product.
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.
To be translated Svensk industri möter nu en av de största utmaningarna sedan den industriella revolutionen. Vad innebär det för dig som ledare eller blivande ledare i industrin? Hur bibehåller du drivkraften hos dina medarbetare?Välkommen till kursen tekniskt ledarskap för framtidens industriprocesser. Den här kursen är särskilt framtagen för dig som har, eller strävar efter att ha en ledande roll i en industriell organisation. Kurser ger dig fördjupad kunskap inom området teknisk ledarskap med hänsyn till både mänskliga faktorn och ekonomin utöver den tekniska baskunskapen, den så kallade fullt integrerade teknikern eller ingenjör. Vi tittar närmare på och diskuterar olika ledaregenskaper och ledarstilar. Vad innebär det att vara en ledare med tekniskt ansvar?Stora förändringar krävs för att svensk industri ska fortsätta vara konkurrenskraftig. Genom studier av praktikfall och arbetsrelaterade fall skapas djupare förståelse för under vilka förutsättningar tekniska ledare arbetar och vilka krav som ställs. Kurskod, anmälningskodVP737A, HS-26353 Ansökan, behörighet och antagningOm du arbetar inom industrin, men saknar akademiska meriter, kan du ansöka om att bli bedömd på så kallad reell kompetens. Läs mer på den här sidan his.se/ansokindustrikurser