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Big Data (DLMBBD)

Modulbezeichnung: Big Data

Modulnummer:

DLMBBD

Semester:

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Dauer:

Minimum 1 Semester

Modultyp:

Wahlpflicht

Regulär angeboten im:

WS, SS

Workload: 300 h

ECTS Punkte: 10

Zugangsvoraussetzungen:

None

Unterrichtssprache:

Englisch

Kurse im Modul:

Workload:

Self-study: 200 h
Self-examination: 50 h
Tutorials: 50 h

Kurskoordinatoren/Tutoren::

Please see the current list of tutors on the Learning Management System.

Modulverantwortliche(r):

Prof. Dr. Markus C. Hemmer

Bezüge zu anderen Programmen:

  • Master of Business Administration

Bezüge zu anderen Modulen im Programm:

  • Corporate Finance

Qualifikations- und Lernziele des Moduls:

Data Utilization:
Upon successful completion, students are able

  • to understand how identity, similarity and diversity of data can be utilized in problem-solving approaches.
  • to differentiate between complicated and complex systems of investigation.
  • to identify the variability of a problem under investigation.
  • to differentiate between invariant and dynamic features of an investigated system.
  • to synthesize the gained insights to propose a reliable data analytics solution.

Application Scenarios and Case Studies:
Upon successful completion, students are able

  • to establish an application scenario for data science within a self-organized team.
  • to identify requirements and appropriate technologies for data collection.
  • to evaluate and select applicable technologies for data pre-processing and processing.
  • to assess challenges and risks of the selected approach.
  • to clearly define the outcome and value of the approach.
  • to elaborate a conceptual design document and a presentation for decision-makers.

Lehrinhalt des Moduls:

Data Utilization

  • Pattern Recognition
  • Natural Language Processing
  • Image Recognition
  • Detection and Sensing
  • Problem Solving
  • Decision-making

Application Scenarios and Case Studies:

  • Workflow overview
  • Fields of application
  • Sprint Planning; Sprint
  • Sprint Retrospective
  • Committee Presentation

Lehrmethoden:

See the contributing course outlines

Literatur:

See the contributing course outlines

Anteil der Modulnote an der Gesamtabschlussnote des Programms:

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Prüfungszulassungsvoraussetzung:

Abschlussprüfungen:

See the contributing course outlines

DLMBBD01:
Exam, 90 min. (50 %)
DLMBBD02:
Written Assessment: Case Study (50 %)