Quality in Data driven Systems

The aim of the course is to cover quality aspects of modern data-driven systems from a software perspective. The course provides a comprehensive introduction to software engineering quality, especially the aspects that can be applied to data-driven systems. The course begins with data collection, system design for specific aspects of quality, architecture for data quality control flow, and real-time data verification. Quality control is discussed in the framework of life cycles of data-driven systems and from a software perspective, including data collection, system architecture, data verification, and data storage. Problems in data-driven systems used for production, such as online real-time data verification and implementation of data quality flows, are covered, as are deployment problems for data-driven systems.

Progressive specialisation: A1F (has second‐cycle course/s as entry requirements)

Education level: Master's level

Admission requirements

Software architectures of distributed applications (5 ECTS credits), plus upper secondary level English 6, or equivalent

Selection:

Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.

Course code: DVAE22

This course is included in the following programme

Master of Science in Computer Engineering (studied during year 5)
Master in Computer Science (studied during year 2)