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Sensor Networks Seminar

(in German: Sensor Networks Seminar )

Module-ID: FIN-INF-120514
Link: LSF
Responsibility: Prof. Dr.-Ing. Benjamin Noack
Lecturer: Prof. Dr.-Ing. Benjamin Noack
Classes: Seminar Sensor Networks  
Applicability in curriculum: - M.Sc. INF: Informatik
- M.Sc. INF: Schlüssel- und Methodenkompetenzen
- M.Sc. INGINF: Informatik
- M.Sc. INGINF: Schlüssel- und Methodenkompetenzen
- M.Sc. WIF: Informatik
- M.Sc. WIF: Schlüssel- und Methodenkompetenzen
- M.Sc. DKE: Applied Data Science
- M.Sc. DE: Methoden des Digital Engineering
- M.Sc. DE: Methoden der Informatik
- M.Sc. DE: Fachliche Spezialisierung
- M.Sc. VC: Schlüssel- und Methodenkompetenzen

Abbreviation

SN

Credit Points

6

Semester

Winter

Term

ab 1.

Duration

1 Semester

Language

english

Level

Master

Intended learning outcomes:
Students who complete the course ...

  • ​can independently research complex topics
  • write clear scientific articles
  • present informative and understandable scientific talks
  • understand challenges and methods in sensor networks
  • understand how to these challenges are addressed in practical applications of sensor networks

Content:
In this seminar, the participants will learn about

  • challenges and methods used in sensor networks
  • the variety of applications and application-specific sensor network design

Workload:
28h in presence (consultation meetings, presentations) + 156 h self study

Pre-examination requirements: Type of examination: Teaching method / lecture hours per week (SWS):

  • Presentation
  • Discussion
  • Scientific Article
(Referat und Hausarbeit)

Seminar (2 SWS)

Prerequisites according to examination regulations: Recommended prerequisites:

keine

  • Lecture Introduction to Distributed Sensor Data Fusion
  • Learning algorithms
  • Underpinnings of engineering sciences and/or business informatics (some topics only)
  • Principles of scientific writing
Media: Literature:

Literature depends on topic assignment and is given to each student together with the assignment

Comments: