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Smart Sensing

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WiSe 2021/22 - SoSe 2025

English

Smart Sensing

6

Cominola, Andrea

Benotet

Portfolioprüfung

English

Zugehörigkeit


Fakultät V

Institut für Strömungsmechanik und Technische Akustik

35311100 FG Fluidsystemdynamik-Strömungstechnik der Maschinen und Anlagen

Physikalische Ingenieurwissenschaft

Kontakt


FSD

Fischer, Markus

andrea.cominola@tu-berlin.de

http://www.ide3a.net, https://www.swn.tu-berlin.de

Lernergebnisse

After taking this course, students will be able to outline and discuss the latest advances on digital measurement techniques in the broad field of critical urban infrastructure. These include water flow/pressure metering, IoT (Internet of Things) sensors for water and energy applications, simulation of virtual sensors and sensor networks architectures, and processing of sensor data. The technical content on new digital technologies will be coupled with content on the relevance of smart sensing techniques for better monitoring and resilience of interconnected critical urban infrastructure (e.g., water networks, electricity grid, sensor networks). The students will learn what the current research challenges in the field of digital metering are, in different scientific settings. Students will also be able to apply qualitative and quantitative techniques of systematically analysing, summarizing and presenting scientific data and articles. They will then be able to approach the practical implementation of solutions to currently relevant problems in the field of digitalisation of critical urban infrastructure in the “Smart City Hackathon”.

Lehrinhalte

The course content is divided into three thematic clusters: 1) Urban Context and associated opportunities and challenges 2) Conceptual and practical tools of innovation 3) Scientific communication and methodology Across these three areas, the block course “Smart Sensing” deals with the area of sensors, data gathering and processing in different urban critical infrastructure sectors. Moreover, it will give fundamental knowledge about data harvesting and processing (e.g., with new digital sensors and IoT technologies). In this course, the digitalization of urban critical infrastructure will be analysed, with a particular focus on its sensor components and applications. Assessment will include a presentation, the creation of a wiki page and an online quiz. The course will be given in English.

Modulbestandteile

Compulsory area

Die folgenden Veranstaltungen sind für das Modul obligatorisch:

LehrveranstaltungenArtNummerTurnusSpracheSWS ISIS VVZ
Smart SensingIV3531 L 10967WiSeen4
ISIS-Kurssuche nach Veranstaltungen des Moduls

Arbeitsaufwand und Leistungspunkte

Smart Sensing (IV):

AufwandbeschreibungMultiplikatorStundenGesamt
Attendance7.08.0h56.0h
Pre- / Post Processing2.040.0h80.0h
Team Project Assignment1.044.0h44.0h
180.0h(~6 LP)
Der Aufwand des Moduls summiert sich zu 180.0 Stunden. Damit umfasst das Modul 6 Leistungspunkte.

Beschreibung der Lehr- und Lernformen

The course is taught in lectures, workshops and through group assignments or team project work. These will be held in both synchronous and asynchronous digital formats. This course, together with the “Smart Cities” course is leading up to the “Smart City Hackathon” and takes a problem- and project-based learning approach where groups of students work on real-life urban challenges in partnership with external organisations (city stakeholders). Group assignments are organised as a research, design and/or development project, undertaken by student teams mentored jointly by academic staff and external organisation representatives (field mentors). The courses are going to be fully virtual, while the hackathon will take place in presence as long as pandemic circumstances permit. Further instructions will be communicated to registered students on how to get access to the online lectures and hackathon materials for the school. The course will be conducted in two two-day intensive teaching sessions plus a digital pre- and post-processing part which includes team activities.

Voraussetzungen für die Teilnahme / Prüfung

Wünschenswerte Voraussetzungen für die Teilnahme an den Lehrveranstaltungen:

Preferred competences (not compulsory): basic concepts of mathematical modelling or statistics, basic programming knowledge with Matlab or Python, and basic knowledge of one among water/energy/sensor networks fundamentals and modelling. Please note that students can only enrol in EITHER the ‘Smart Sensing’ OR ‘Smart Cities’ module but will receive access to content of both courses. Participants of both modules will be required to participate in the ‘Smart Cities Hackathon’ to be awarded the course ECTS.

Verpflichtende Voraussetzungen für die Modulprüfungsanmeldung:

Dieses Modul hat keine Prüfungsvoraussetzungen.

Abschluss des Moduls

Benotung

Benotet

Prüfungsform

Portfolio examination

Art der Portfolioprüfung

100 Punkte insgesamt

Sprache(n)

English

Prüfungselemente

NamePunkteKategorieDauer/Umfang
Presentation (Hackathon Solution)35mündlichKeine Angabe
Quiz15schriftlichKeine Angabe
Wiki Page (Hackathon Solution)50schriftlichKeine Angabe

Notenschlüssel

Notenschlüssel »Notenschlüssel 1: Fak IV (1)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt86.0pt82.0pt78.0pt74.0pt70.0pt66.0pt62.0pt58.0pt54.0pt50.0pt

Prüfungsbeschreibung (Abschluss des Moduls)

Assessment includes: - a final oral exam, including the presentation of the solutions developed by student teams to the hackathon challenge and a Q&A session; - a Wiki page on the developed solution - a quiz on the preparation material and material covered during the course

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 40.

Anmeldeformalitäten

Students have to register via the ide3a project website: www.ide3a.net; the exam registration will take place via Prüfungsamt at TU Berlin.

Literaturhinweise, Skripte

Skript in Papierform

Verfügbarkeit:  nicht verfügbar

 

Skript in elektronischer Form

Verfügbarkeit:  nicht verfügbar

 

Literatur

Empfohlene Literatur
Keine empfohlene Literatur angegeben

Zugeordnete Studiengänge


Diese Modulversion wird in folgenden Studiengängen verwendet:

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Computational Engineering Science (Informationstechnik im Maschinenwesen) (M. Sc.)19SoSe 2022SoSe 2025
Maschinenbau (M. Sc.)110SoSe 2022SoSe 2025
Patentingenieurwesen (M. Sc.)17SoSe 2022SoSe 2025
Physikalische Ingenieurwissenschaft (M. Sc.)216WiSe 2021/22SoSe 2025
Planung und Betrieb im Verkehrswesen (M. Sc.)19SoSe 2022SoSe 2025

Sonstiges

Keine Angabe