XRAG - Robotics Working Group (2,5 CP)

General information

Course Name

Robotics Working Group (2,5 CP)

English Course name

Robotics Working Group (2,5 CP)

Course code

XRAG

Lecturer(s)

M.Sc. Eilers, Hannes (hannes.eilers@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 (SoSe) Interdisciplinary Teaching (SoSe)	B.Eng. - Me (PO 2023) - Mechatronik (PO 2023, V4)	1 2 3 4 5 6 7
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)	M.Sc. - MIE - Information Engineering (PO 2022, V3)	1 2 3 4
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. - E - Elektrotechnik (PO 2017, V3)	1 2 3 4 5 6 7
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. - Wing - Wirtschaftsingenieurwesen - Elektrotechnik (PO 2017, V1)	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 principal construction of robots. Students understand the principal functionality of (semi) autonomous robots. Students are able to program (semi) autonomous robots using visual, imperative, object oriented, or functional progamming languages.

Students are able to program robots in such a way that they are able to interact and perform tasks in simple application scenarios.

Content information

Content

Principal architectures of robots
Actors and sensors
Simulation of robots
Programming of (semi) autonomous robots

Literature

Thrun, S. et al.: Probabilistic Robotics. MIT Press 2005.

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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