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265-0101-00L 4 Credits NDS , WBZ D-ITET , D-INFK

Data Science

Lecturers & Examiners: Prof. Dr. Bernd Gärtner
VVZ CR n/a

Last Updated: 2026-02-05 16:15:31

Abstract

In this module, basic paradigms and techniques in working with data will be discussed, especially towards data security, managing data decentrally, and learning from data.

Objective

Participants will understand some of the concepts in detail and see the mathematics behind them.

Content

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). 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.

General Information

Language
English
Levels
NDS , WBZ
Frequency
Yearly recurring

Examination

Type
graded semester performance
Two 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.

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 25.11.23 08:00 – 10:00 CAB G 11 (Exam)
  • 29.09 Date 08:15-17:00 (HG D 7.2)
  • 30.09 Date 08:15-13:00 (HG D 7.2)
  • 13.10 Date 08:15-17:00 (HG D 7.2)
  • 14.10 Date 08:15-13:00 (HG D 7.2)
  • 10.11 Date 10:15-17:00 (HG D 7.2)
  • 25.11 Date 08:15-10:00 (CAB G 11)
36 h semesterly

Offered In