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.


265-0101-00 VData Science
Block course
36s hrs
01.10.08:15-18:00HG D 7.2 »
02.10.08:15-12:00HG D 7.2 »
15.10.08:15-18:00HG D 7.2 »
16.10.08:15-12:00HG D 7.2 »
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 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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 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.

In case of a failing module performance, the exam can be repeated in the form of a 30 minute oral exam, and the result will replace the performance E. If this again results in a failing module performance, the module cannot be passed anymore.

The final exam has been scheduled for November 13, 2021, 8-12, room HG D7.2!

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