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This entry is from Winter semester 2018/19 and might be obsolete. No current equivalent could be found.

CS 687 — Specialization Module Databionics for Time Series
(dt. Datenbionik für Zeitreihen)

Level, degree of commitment Specialization module, depends on importing study program
Forms of teaching and learning,
workload
Lecture (2 SWS), recitation class (2 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements
6 CP
Course requirement(s): Written or oral examination
Examination type: Successful completion of at least 50 percent of the points from the weekly exercises.
Language,
Grading
German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science.
Subject, Origin Computer Science, M.Sc. Computer Science
Duration,
frequency
One semester,
irregular
Person in charge of the module's outline Prof. Dr. Alfred Ultsch

Contents

Based on basic knowledge of the analysis of time series, the knowledge discovery, knowledge representation and knowledge processing for multivariate time series will be dealt with in depth.


Qualification Goals

The students shall

  • acquire in-depth knowledge and skills in the field of transmission of algorithms observed in nature for the treatment of time series,
  • learn to apply the acquired knowledge and skills by means of selected applications,
  • improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.

Prerequisites

Translation is missing. Here is the German original:

Keine. Empfohlen werden die Kompetenzen, die in den Aufbaumodulen (themenabhängig) vermittelt werden.


Recommended Reading

  • Depending on topic



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2018/19. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.