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265-0101-00L 3 Credits NDS , WBZ D-ITET , D-INFK
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Data Science

Lecturers & Examiners: Prof. Dr. Bernd Gärtner
Only for CAS in Applied Information Technology and MAS in Applied Technology.
VVZ CR n/a

Last Updated: 2026-02-05 15:35:55

Abstract

In 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.

Objective

Participants 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.

Content

Participants 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.

Resources

Learning Materials (Links)

General Information

Language
English
Levels
NDS , WBZ
Frequency
Yearly recurring

Examination

Type
graded semester performance
Written exam, 90 minutesDuring 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.

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture Data Science
Block course Friday, October 2 and 16: 08:15 - 17:00 Saturday, October, 3, 17 and 31: 08:15 - 12:30
  • 02.10 Date 08:15-17:00 (HG D 7.2)
  • 03.10 Date 08:15-13:00 (HG D 7.2)
  • 16.10 Date 08:15-17:00 (HG D 7.2)
  • 17.10 Date 08:15-13:00 (HG D 7.2)
36 h semesterly

Offered In