Zur Modulseite PDF generieren

#40304 / #10

Seit WiSe 2020/21

English

Networked Embedded Systems

6

Dressler, Falko

Benotet

Mündliche Prüfung

English

Zugehörigkeit


Fakultät IV

Institut für Telekommunikationssysteme

34331200 FG Telekommunikationsnetze

Keine Angabe

Kontakt


FT 5

Dressler, Falko

lehre@tkn.tu-berlin.de

Lernergebnisse

The learning objective is to understand the fundamental concepts of networded embedded systems. Students understand these concepts and are able to apply this knowledge.

Lehrinhalte

The objective of this course is gain insights into the operation and programming of embedded systems. A strong focus is on wireless sensor networks. We study the fundamentals of such sensor networks. In the scope of the exercises, we discuss selected topics in more detail. * Design and architecture of embedded systems: Architecture of embedded systems, programming paradigms * Sensor networks: Principles and applications * Wireless communications: Concepts of modulation and encoding on the physical layer * Wireless access: Typical medium access protocols for low-power sensor nodes * Routing: Ad hoc routing and data centric communication * Clustering: Clustering algorithms, guaranteed connectivity * Localization: Ranging techniques, localization algorithms

Modulbestandteile

Compulsory area

Die folgenden Veranstaltungen sind für das Modul obligatorisch:

LehrveranstaltungenArtNummerTurnusSpracheSWS ISIS VVZ
Networked Embedded SystemsVL0432 L 314WiSeen2
Networked Embedded Systems LabPR0432 L 344WiSeen2

Arbeitsaufwand und Leistungspunkte

Networked Embedded Systems (VL):

AufwandbeschreibungMultiplikatorStundenGesamt
Presence15.03.0h45.0h
Preparation and follow-up1.030.0h30.0h
Exam Preparation1.015.0h15.0h
90.0h(~3 LP)

Networked Embedded Systems Lab (PR):

AufwandbeschreibungMultiplikatorStundenGesamt
Presence15.02.0h30.0h
Preparation and follow-up1.040.0h40.0h
Exam Preparation1.020.0h20.0h
90.0h(~3 LP)
Der Aufwand des Moduls summiert sich zu 180.0 Stunden. Damit umfasst das Modul 6 Leistungspunkte.

Beschreibung der Lehr- und Lernformen

VL: classical lecture. PR: programming assignments.

Voraussetzungen für die Teilnahme / Prüfung

Wünschenswerte Voraussetzungen für die Teilnahme an den Lehrveranstaltungen:

BSc module „Kommunikationsnetze” or similar knowledge is required. Knowledge of architecture and programming of embedded systems is of benefit.

Verpflichtende Voraussetzungen für die Modulprüfungsanmeldung:

Voraussetzung
Leistungsnachweis »[TKN] Homework Network Embedded Systems «

Abschluss des Moduls

Benotung

Benotet

Prüfungsform

Oral exam

Sprache(n)

English

Dauer/Umfang

30 Minutes

Prüfungsbeschreibung (Abschluss des Moduls)

In total 100 Portfolio points can be obtained. The final module grade will be given according to the §47 (2) AllgStuPO, using grade scheme (Notenschlüssel) 2 of Faculty IV. The individual grades will be obtained as specified in the table below. Further details: VL: Final lecture written test: The students take part in a < 90 min final test that checks the overall level of acquired knowledge from the Ad Hoc and Sensor Networks lecture. PR: Lab assignments: Organized in small groups (3-4 persons), the students are asked to jointly absolve a set of lab assignments that involve in-class programming assignments using state of the art sensor network hardware and software, and homework tasks (some of them individually, some of them as a group). Evaluated is the correctness of the provided answers, the correctness and the quality of the code for the programming assignments. Each lab is assessed with a three-level scale: not-satisfactory, satisfactory and excellent. PR: Final lab project: After the completion of the individual lab assignments, the lab groups are asked to design, develop and demonstrate a relatively simple but complete sensor networks application that involves data acquisition, processing and communication. Evaluated is the final "project presentation" (quality of the content and coverage, presentation organization and style, capability to answer follow-up questions), and the "project demo" (general functionality, achievement of design goals, effective use of HW and SW, team work, code quality, documentation, effective use of version control tools). PR: Final lab review: The students take part in a final review that checks the overall level of acquired knowledge from the Sensor Networks Lab. Evaluated is the familiarity with the Lab HW and SW and the familiarity with the the solutions of the individual Lab assignments. Students are asked to self-evaluate the relative contribution of each team member as part of the team, which is considered in the formation of the final individual marks.

Dauer des Moduls

Für Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt:
1 Semester.

Dieses Modul kann in folgenden Semestern begonnen werden:
Wintersemester.

Maximale teilnehmende Personen

Die maximale Teilnehmerzahl beträgt 25.

Anmeldeformalitäten

Exam enrolment: Examination Office/QISPOS For more information, visit: http://www.tkn.tu-berlin.de/?106675

Literaturhinweise, Skripte

Skript in Papierform

Verfügbarkeit:  nicht verfügbar

 

Skript in elektronischer Form

Verfügbarkeit:  verfügbar
Zusätzliche Informationen:

 

Literatur

Empfohlene Literatur
Falko Dressler, Self-Organization in Sensor and Actor Networks, Chichester, United Kingdom, John Wiley & Sons, 2007
Holger Karl and Andreas Willig, Protocols and Architectures for Wireless Sensor Networks, Wiley, Chichester, 2005

Zugeordnete Studiengänge


Diese Modulversion wird in folgenden Studiengängen verwendet:

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Computer Engineering (M. Sc.)170WiSe 2020/21SoSe 2025
Computer Science (Informatik) (M. Sc.)140WiSe 2020/21SoSe 2025
Elektrotechnik (M. Sc.)140WiSe 2020/21SoSe 2025
ICT Innovation (M. Sc.)130WiSe 2020/21SoSe 2025
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)112WiSe 2020/21SoSe 2025
Technomathematik (M. Sc.)110WiSe 2020/21SoSe 2025
Wirtschaftsingenieurwesen (M. Sc.)130WiSe 2020/21SoSe 2025

Studierende anderer Studiengänge können dieses Modul ohne Kapazitätsprüfung belegen.

Sonstiges

Keine Angabe