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.

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)

Course code: DVAE22