BDWG - Big Data AG

General information

Course Name

Big Data AG

English Course name

Big Data Working Group

Course code

BDWG

Lecturer(s)

B.Sc. Gerth, Jonas (jonas.gerth@haw-kiel.de)
Prof. Dr. Lüssem, Jens (jens.luessem@haw-kiel.de)

Occurrence frequency

Module occurrence

In der Regel jedes Semester

Language

Englisch

Relations of this course to published module descriptions and their study program assignments

Modules in which this coursee is available for election

Module	Study Subject	Semester
Wahlmodul Interdisziplinäre Lehre 2 (WS) Interdisciplinary Teaching 2 (WS)	M.Sc. - MIE - Information Engineering (PO 2022, V3)	1 2 3 4
Wahlmodul Interdisziplinäre Lehre 2 (WS) Interdisciplinary Teaching 2 (WS)	B.Eng. - Wing - Wirtschaftsingenieurwesen - Elektrotechnik (PO 2017, V1)	1 2 3 4 5 6 7
Wahlmodul Interdisziplinäre Lehre 2 (WS) Interdisciplinary Teaching 2 (WS)	M.Eng. - MET - Elektrische Technologien (PO 2017, V3)	1 2 3
Wahlmodul Interdisziplinäre Lehre 2 (WS) Interdisciplinary Teaching 2 (WS)	B.Eng. - Me (PO 2023) - Mechatronik (PO 2023, V4)	1 2 3 4 5 6 7
Wahlmodul Interdisziplinäre Lehre 2 (WS) Interdisciplinary Teaching 2 (WS)	B.Sc. - INI - Informationstechnologie (PO 2017, V1)	1 2 3 4 5 6
Wahlmodul Interdisziplinäre Lehre 2 (WS) Interdisciplinary Teaching 2 (WS)	B.Eng. - E - Elektrotechnik (PO 2017, V3)	1 2 3 4 5 6 7
Wahlmodul Interdisziplinäre Lehre 2 (WS) Interdisciplinary Teaching 2 (WS)	B.Eng. - Ming - Medieningenieur/-in (PO 2018, V1 + PO 2021, V2)	1 2 3 4 5 6 7
Wahlmodul Interdisziplinäre Lehre (SoSe) Interdisciplinary Teaching (SoSe)	M.Sc. - MIE - Information Engineering (PO 2022, V3)	1 2 3 4
Wahlmodul Interdisziplinäre Lehre (SoSe) Interdisciplinary Teaching (SoSe)	M.Eng. - MET - Elektrische Technologien (PO 2017, V3)	1 2 3
Wahlmodul Interdisziplinäre Lehre (SoSe) Interdisciplinary Teaching (SoSe)	B.Sc. - INI - Informationstechnologie (PO 2017, V1)	1 2 3 4 5 6
Wahlmodul Interdisziplinäre Lehre (SoSe) Interdisciplinary Teaching (SoSe)	B.Eng. - E - Elektrotechnik (PO 2017, V3)	1 2 3 4 5 6 7
Wahlmodul Interdisziplinäre Lehre (SoSe) Interdisciplinary Teaching (SoSe)	B.Eng. - Ming - Medieningenieur/-in (PO 2018, V1 + PO 2021, V2)	1 2 3 4 5 6 7
Wahlmodul Interdisziplinäre Lehre (SoSe) Interdisciplinary Teaching (SoSe)	B.Eng. - Wing - Wirtschaftsingenieurwesen - Elektrotechnik (PO 2017, V1)	1 2 3 4 5 6 7
Wahlmodul Interdisziplinäre Lehre (SoSe) Interdisciplinary Teaching (SoSe)	B.Eng. - Me (PO 2023) - Mechatronik (PO 2023, V4)	1 2 3 4 5 6 7

Qualification outcome

Areas of Competence: Knowledge and Understanding; Use, application and generation of knowledge; Communication and cooperation; Scientific self-understanding / professionalism.

Students know the advantages and limits of Big Data Applications. Students know the steps to set up a Big Data Application.

Students are able to build Big Data Architectures and are able to work with real world scenarios:
- Architecture
- Data Storage
- Data Analysis
- Visualization

Students are able to work in groups. Students are able to discuss with domain experts.

Content information

Content

Contents:
- Big Data Ecosystems
- Big Data Programming Languages: Python, R
- Methods for Data Analysis
- Data Visualization Techniques

Literature

- Kleppmann, M.: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (2017)
- Hadoop References (Online Material)
- Udacity (Nano Degree Course). Big Data Foundation (2018)

Teaching format

Teaching format	SWS
Projekt	2

Examinations

Method of Examination	Duration	Weighting	wird angerechnet gem. § 11 Satz 2 PVO	Graded	Remark
Projektbezogene Arbeiten		100 %

Ungraded Course Assessment

Miscellaneous

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