Data-driven Software Engineering, 7,5 credits
Start of studies
Spring semester 2027
Form of education
Campus, Day-time, Half-time
Language
English
Period
2027 week 13 until 2027 week 22
Admission to the course requires completed courses in Data Structures and Algorithms, 6 credits, Mathematical Statistics, 6 credits, Software Development, 6 credits and Artificial Intelligence or Data analysis, 6 credits.
People, organizations, and processes generate increasing amounts of digital data, due to the pervasiveness of societal digitalization and the connectivity provided by Internet. On the one hand, these data present challenges concerning complexity, privacy, and security. On the other hand, the data may be used for automation of activities and to make more informed decisions. The aim of this course is to provide students with a theoretical understanding of data science and its benefits and limitations, as well as practical skills in the application of data-driven techniques to address tasks within the different stages of the software development lifecycle (SDLC).
Admission to the course requires completed courses in Data Structures and Algorithms, 6 credits, Mathematical Statistics, 6 credits, Software Development, 6 credits and Artificial Intelligence or Data analysis, 6 credits.
Level
A1N
Course code
PA2572
