265-0101-00L  Data Science

SemesterHerbstsemester 2023
DozierendeB. Gärtner
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch



Lehrveranstaltungen

NummerTitelUmfangDozierende
265-0101-00 VData Science
Block course

25.11.23 08:00 – 10:00 CAB G 11 (Exam)
36s Std.
29.09.08:15-17:00HG D 7.2 »
30.09.08:15-13:00HG D 7.2 »
13.10.08:15-17:00HG D 7.2 »
14.10.08:15-13:00HG D 7.2 »
10.11.10:15-17:00HG D 7.2 »
25.11.08:15-10:00CAB G 11 »
B. Gärtner

Katalogdaten

KurzbeschreibungIn this module, basic paradigms and techniques in working with data will be discussed, especially towards data security, managing data decentrally, and learning from data.
LernzielParticipants will understand some of the concepts in detail and see the mathematics behind them.
InhaltThe 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.

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte4 KP
PrüfendeB. Gärtner
Formbenotete Semesterleistung
PrüfungsspracheEnglisch
RepetitionRepetition ohne erneute Belegung der Lerneinheit möglich.
Zusatzinformation zum PrüfungsmodusTwo homeworks and a written exam (90 minutes). Each homework as well as the exam are graded. If H1, H2 and E are the homework and exam performances (measured in the percentage of points achieved), the module performance is 0.1*H1 + 0.1*H2 + 0.8*E. This means, each homework contributes 10%, and the exam contributes 80%.

A module performance of 50% or higher is guaranteed to be a passing performance, but depending on the cohort, we may also require less than 50% to pass the module.

Repetition of a failed exam is possible immediately after the CAS (usually before the end of February). Dates are to be negotiated directly with the lecturer(s) in question. If you do not take the repetition exam or fail again, the module and thus the whole CAS are considered as failed.

Lernmaterialien

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

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

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

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