Dortmund International Summer School 2021

28.06.2021 – 02.07.2021

Dortmund University of Applied Sciences and Arts welcomes to the international research and teaching exchange at the Dortmund International Summer School from the 28th June till the 2nd July 2021.

The Dortmund IRC  will be followed by the Dortmund International Summer School (28th of June – 2nd of July 2021). Students will work on research topics in the following streams: Automotive SystemsSustainability Sustainability in Project ManagementScaled Agile Framework (SAFe)Software Engineering ProjectComputer and Emerging Networks, and Data Science for Engineers. 

You can sign up for the streams until June 11th via

The respective lecturers will contact the registered participants about the details of the online schedule.

For further questions please send us an email.


Automotive Systems

M. Eng. Carsten Wiecher (FH Dortmund)

  • Master Embedded Systems for Mechatronics (ESM), Information Technology, Electrical Engineering, Computer Science
  • Systems Engineering;
  • Requirements Engineering;
  • Automotive Development Processes

MS Teams; Discord

  • Elective for Master Embedded Systems, Automotive Systems (MOD-E10), practical part of module (50%) 
  • Master InformatikMasterseminar => 50% of the assignments (equals 3 ECTS), in combination with a homework about the workshop topic the module with 5 ECTS can be awarded.
  • Master InformationstechnikProjektarbeit 1 oder 2 => 50% of the assignments (equals 3 ECTS), in combination with a homework the module with 6 ECTS can be awarded (confirmation with Ingo Kunold).

Connected vehicles can be seen as constituent systems within a System of Systems (SoS). In this context, systems are developed independently in different organizations, but can still be integrated to provide a higher-level integrated functionality. This leads to challenges in the specification and validation of system requirements, especially for automotive systems with a focus on safety and security.

During the block week we discuss: 

  • automotive development processes with focus on software engineering 
  • MBSE techniques 
  • scenario-based requirements engineering 
  • scenario-based requirements modeling and validation. 

Sustainability in Project Management

 Jose Ramon Otegi (UPV/EHU Bilbao)

  • Project Management, Digital Transformation, Business & Business Computing, (Industrial) Engineers, Computer Science 

Although the stream is accessible for students from any discipline, at Master level, basic knowledge of Project Management is recommended.

25 (Online version)

MS Teams; WebEX

  • Elective for EuroMPM, Master Embedded Systems and Master Digital Transformation (Part of the Module: Sustainability and Quality in Project Management)
  • Master InformatikMasterseminar => 50% of the assignments (equals 3 ECTS), in combination with a homework about the workshop topic the module with 5 ECTS can be awarded.

Climate change and global warming are some of the problems that will negatively affect the majority of the world’s population in the coming years. Projects are the vehicles to implement some of the necessary changes. Project Managers need to be aware and to feel responsible for taking into account sustainability into the activities of the projects they manage. The Group will work upon a semi-real Digitalization Project and will use the Digital Sustainability Canvas to assess its impact.

Topics covered during the block week: 

  • Business canvas
  • Circular Economy
  • Impact Assessment
  • Green Project Management.

Scaled Agile Framework (SAFe)

Dr. Olha Mikhieieva (FH Dortmund)

  • EuroMPM, Master Digital Transformation, Information Technology, Computer Science
  • Basic knowledge of agile project management and the Scrum Guide (;
  • Basic knowledge in IT software development projects;
  • Experience in programming and testing or managing project teams is a plus; 
  • Full availability during the course period 28.06-3.07 

25 (online)

WebEX (to be updated)

  • Elective for EuroMPM, Master Embedded Systems, Master Digital Transformation

What will be this course about?

  • Foundations of the SAFe framework
  • SAFe terminology
  • Defining Value Streams for a business case
  • Defining Epics for a business case
  • Practicing PI Planning for a business case
  • Practicing Insect&Adapt (Retrospective) for a business case.

Software Engineering Project​

  • Master Digital Transformation, Computer Science, Information Technology or comparable
  • Solid Programming Skills (Java / Kotlin);
  • General understanding of Software Architecture;
  • Use of an IDE such as Eclipse or IntelliJ



  • Elective in Master Digital Transformation: Module Software Engineering Project (MOD-E01)
  • Optional Elective in Master Embedded Systems: Module Software Engineering Project (MOD-E01) (via Ruhr Master School)

During the course, we will learn about the Microservices Architectural style for modern software systems and get a hands-on experience by implementing a corresponding software in small groups in practice.

Topics covered during the block week:

  • Microservice Architecture style
  • Development with the Java Spring Framework (incl. REST-based APIs)
  • (depending on progress) (Micro)Frontend development
  • (depending on progress) Modeling of Microservice Architecture
  • Hackathon experience.

Computer and Emerging Networks

If you are interested in this course please contact directly:

Prof. Dr. Stephan ReckerAnjum Malik (FH Dortmund)

  • Computer Science
  • Good command in Computer Network basics;
  • OSI model; and 
  • Internet protocols
  • Students will receive a certificate for participation

The workshop provides an overview of the architecture, algorithms, and protocols used for developing scalable networks. Students will learn advanced network topics on the technical foundations through which future generation networks can be designed. Subsequently students will dive into the details of Emerging Networks using softwares like GNS3 and Cisco Packet Tracer.

Topics covered during the block week:

  • Switching and Internetworking
  • Switching and Routing
  • EVPN
  • Emerging Networks.

Data Science for Engineers

If you are interested in this course please contact directly:

Dr. Kay Suwelack (FH Dortmund)

  • Bachelor Mechanical Engineering

No prior programming knowledge is required


  • Students will receive a certificate for participation.

In all engineering disciplines, it can be observed that data processing accounts for an increasingly large part of the work. In this context, decisions made by engineers are usually determined on the basis of collected data. However, the amount of data engineers have access to is often limited, especially when it comes to very large amounts of data (Big Data). In this case, data science skills become a valuable addition to the range of competencies of engineers in order to be able to meaningfully examine even very large amounts of data for their meaningfulness and to make better decisions. The Internet of Things (IoT) and the associated digitalization will further accelerate this development in the future. In this course, students will learn how to successfully use the Python programming language to analyze large amounts of data and thus create the essential foundations for the creation of machine learning models.