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The aim of the course is for the student to gain an understanding of established practices and current research related to software engineering, as well as the influence and use of data science in software engineering.

The course conveys perspectives on software development techniques and joint project work, as well as current advances in software development. Some techniques and methods that are addressed are:

- Data-driven innovation and data-driven decision making in research and development of artifacts
- A-B testing, data collection techniques
- Scrum and Kanban Software development framework that implements Agile and Lean methods
- Distributed software development
- Test-driven development
- DevOps/DataOps/MLOps principles and practice
- Challenges to achieving high-performance groups for software development

Data-driven innovation and ML workflow lifecycle: how collected user data can be introduced to the software development cycle, during the design, implementation, evaluation and maintenance phases.

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Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).