265-0101-00L  Data Science

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


265-0101-00 VData Science
Block course

25.11.23 08:00 – 10:00 CAB G 11 (Exam)
36s hrs
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

Catalogue data

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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersB. Gärtner
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without re-enrolling for the course unit.
Additional information on mode of examinationTwo 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.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupMAS ETH in Applied Technology (247000)
CAS ETH in Applied Information Technology (265000)

Offered in

CAS in Applied Information TechnologyModuleOInformation
MAS in Applied TechnologyMajor in Applied Information TechnologyOInformation