The spring semester 2021 will certainly take place online until Easter. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers.

265-0101-00L  Data Science

SemesterAutumn Semester 2020
LecturersB. Gärtner
Periodicityyearly recurring course
Language of instructionEnglish
CommentOnly for CAS in Applied Information Technology and MAS in Applied Technology.


AbstractIn this module, basic paradigms and current challenges in working with data will be discussed, especially data security and the handling of large amounts of data.
ObjectiveParticipants learn about some important computer science concepts necessary for data science. They understand some of these concepts in detail and see the mathematics behind them.
ContentParticipants will get an introduction to key computer science concepts underlying current and upcoming technology. The module covers cryptography, distributed ledger technology, machine learning and artificial intelligence, as well as algorithms for big data. Each concept will be discussed in two different ways: (i) a hands-on introduction that allows participants to gain a technical understanding of key ideas. This is supported by simple and concrete examples as well as programming assignments; (ii) a context part that explains the challenges and limitations encountered in practical applications.