265-0101-00L  Data Science

SemesterAutumn Semester 2021
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 techniques in working with data will be discussed, especially towards data security, managing data decentrally, and learning from 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 in particular covers cryptography and digital signatures, networking and distributed algorithms, distributed ledger technology, as well as machine learning (supervised and unsupervised learning). Each topic will be discussed in two different ways: (i) a hands-on and in-depth 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 addresses the challenges and limitations encountered in practical applications.