265-0101-00L  Data Science

SemesterAutumn Semester 2020
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
Friday, October 2 and 16: 08:15 - 17:00
Saturday, October, 3, 17 and 31: 08:15 - 12:30
36s hrs
02.10.08:15-17:00HG D 7.2 »
03.10.08:15-13:00HG D 7.2 »
16.10.08:15-17:00HG D 7.2 »
17.10.08:15-13:00HG D 7.2 »
B. Gärtner

Catalogue data

AbstractIn 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.
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 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.

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 examinationWritten 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.

Learning materials

Main linkMoodle
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