Software development 2

level of course unit

Master's course

Learning outcomes of course unit

The following skills are developed in the course:

- Students are familiar with advanced concepts of software development (e.g. pipelines, testing, etc.) which are frequently applied in the field of data science.
- Students are familiar with the application of the concepts developed in frequently-used software development environments in the field of data analysis (e.g. in Python, MATLAB or R).
- Students can design advanced applications to automate basic functionalities.
- Students can implement designed applications independently.

prerequisites and co-requisites

1st semester: Students will have previous knowledge in the field of information technologies to the extent of 6 ECTS and therefore know the concept of the relational database and can read simple SQL queries. / 1st semester: Stu-dents will have previous knowledge in the field of information technologies to the extent of 6 ECTS and therefore know simple programming concepts (e.g. variables, branches, loops) as well as typical programming approaches (e.g. functional programming). / 2nd semester: SDDE.A1 module examination (Software Development 1)

course contents

The following content is discussed in the course:

- Architecture models for data-driven software development and systems
- Integration models and paradigms for implementing complex, process-oriented software ecosystems for analytical and data-driven systems
- Application of proven design patterns for data-driven applications
- Design and implementation of efficient and scalable software systems for data-driven applications
- Testing of software applications (e.g. unit tests, integration tests, etc.)