Data-driven Software Engineering, 6 credits
Start of studies
Autumn semester 2029
Form of education
Campus, Day-time, 1/5
Language
English
Period
2029 week 36 until 2030 week 3
Admission to the course requires Bachelor of Science in Engineering or Bachelor of Science in a technical field, or at least 60 credits in technology, computer science, software engineering, or equivalent. At least 25 credits should consist of courses in Computer Science, Software Engineering or equivalent and include courses in programming, 5 credits, algorithms and data structures, 5 credits, databases, 5 credits and a project course or software engineering course, 5 credits. In addition, participation in a Software Architecture course 5 credits.
English 6.
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 Bachelor of Science in Engineering or Bachelor of Science in a technical field, or at least 60 credits in technology, computer science, software engineering, or equivalent. At least 25 credits should consist of courses in Computer Science, Software Engineering or equivalent and include courses in programming, 5 credits, algorithms and data structures, 5 credits, databases, 5 credits and a project course or software engineering course, 5 credits. In addition, participation in a Software Architecture course 5 credits.
English 6.
Level
A1N
Course code
PA2597
