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System-av-system

  • Högskolepoäng 2.5 hp
  • Studieort Ortsoberoende
  • $stringTranslations.StartDate 2020-08-31 - 2021-01-17 (deltid 25%)
  • Utbildningsnivå Avancerad nivå
  • Kurskod DVA479
  • Huvudområde Datavetenskap

In contemporary society, almost everything is getting digital and connected. In the Systems-of-Systems Engineering course, you will learn the principles for how to make these digitalised systems collaborate effectively.

About this course

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.

The main parts of the course are:

  • Characteristics of SoS and important sub-classes.
  • Underlying principles from systems theory and systems engineering.
  • Methods and tools for SoS engineering.
  • Architecture of an SoS and how it can be specified.
  • Interoperability between constituent systems, and underlying principles for information representation.
  • Business models and incentives for collaborations between systems.
  • Analysis of trustworthiness of SoS, including risks, safety, and security.
  • Examination mainly consists of written assignments during the course.

Admitted students to this course may join the course any time between August 31 and October 25 2020. 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 17 2021.

Entry requirements

  • 120 credits of which at least 80 credits in engineering.
  • In addition English course A/English course 6 is required.

You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc.

Course title in Swedish

System-av-system

Language

English

Teacher

Professor i datavetenskap

Jakob Axelsson

jakob.axelsson@mdh.se

Kursplan

Du kan läsa i detalj om utbildningen, dess innehåll och litteratur m.m. i kursplanen

Se kursplan

Apply to the course

Systems-of-systems engineering

Go to application

Application information

After submitting your electronic application, the next step is to submit documentation to demonstrate your eligibility for the course you have applied for. In order to document your eligibility, you must provide your high school diploma and university transcript and proof of your English language proficiency.

Entry requirements

To meet the entry requirements for this course you need to have previous academic qualifications (university studies). You will find the specific entry requirements above.

No academic qualifications?

If you do not have the formal academic qualifications needed for a specific course, you can apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc. This is also known as a validation of prior learning.

Recognition of prior learning means the mapping out and assessment of an individual's competence and qualifications, regardless how, where or when they were acquired – in the formal education system or in some other way in Sweden or abroad, just recently or a long time ago.

If you think your knowledge and competences will qualify you for this course, you will need to upload th following with your application:

  • CV with description of your educational and professional background. Your CV must describe your knowledge and competences in relation to the entry requirements.
  • If you refer to work experience, you need to upload an Employers certificate.

If we need more information, we will contact you.

FutureE

The courses are part of the FutureE project where MDH offers online courses in the areas of AI, Environmental and Energy Engineering, Software and Computer Systems Engineering.

For companies that want to collaborate on competence development