265-0101-00L  Data Science

SemesterHerbstsemester 2019
DozierendeB. Gärtner
Periodizitätjährlich wiederkehrende Veranstaltung
KommentarOnly for CAS in Applied Information Technology and MAS in Applied Technology.


265-0101-00 GData Science
Block course
Friday, 08:15 - 17:30
Saturday, 08:15 - 12:30
24s Std.
20.09.08:15-18:00HG E 33.3 »
21.09.08:15-13:00HG E 33.3 »
04.10.08:15-18:00HG E 23 »
05.10.08:15-13:00HG E 23 »
B. Gärtner


KurzbeschreibungIn 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.
LernzielParticipants 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.
InhaltParticipants 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.


Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte3 KP
PrüfendeB. Gärtner
Formbenotete Semesterleistung
RepetitionRepetition ohne erneute Belegung der Lerneinheit möglich.
Zusatzinformation zum PrüfungsmodusWritten exam, 90 minutes

During the course, we will hand out homeworks.
Solutions will be graded, and the grades will account for 20% of the final grade. Homeworks can be discussed with colleagues, but we expect an independent writeup. Homeworks that are not being submitted will receive a grade of 1.


Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.


Keine Informationen zu Gruppen vorhanden.


VorrangDie Belegung der Lerneinheit ist nur durch die primäre Zielgruppe möglich
Primäre ZielgruppeMAS ETH in Applied Technology (247000)
CAS ETH in Applied Information Technology (265000)

Angeboten in

CAS in Applied Information TechnologyModuleOInformation
MAS in Applied TechnologyVertiefung Applied Information TechnologyOInformation