265-0101-00L  Data Science

SemesterAutumn Semester 2023
LecturersB. Gärtner
Periodicityyearly recurring course
Language of instructionEnglish

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 will understand some of the concepts in detail and see the mathematics behind them.
ContentThe module in particular covers cryptography and digital signatures,
networking and distributed algorithms, distributed ledger technology,
as well as machine learning (supervised and unsupervised
learning). For each topic, there will be 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.