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IDE3A Winter School Smart Cities

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WiSe 2021/22 - WiSe 2022/23

English

IDE3A Winter School Smart Cities

6

Rabe, Jochen

Benotet

Portfolioprüfung

English

Zugehörigkeit


Fakultät VI

Institut für Stadt- und Regionalplanung (ISR)

Keine Angabe

Stadt- und Regionalplanung

Kontakt


Keine Angabe

Hegyi, Dóra

rabe@tu-berlin.de

http://www.ide3a.net

Lernergebnisse

After taking this course, students will be able to outline and discuss the latest advances in digitalisation and urban innovation at the city scale, including open data, distributed IT systems and how they relate to governance and relevant stakeholders. Students will be able to distinguish and explain the relevance of digital sensors and data-driven algorithms, as key components of interconnected critical urban infrastructures (e.g., water networks, energy grid, general sensor networks). Students will learn what the current research challenges in developing smart cities and empowering smart citizens are, and how they relate to sustainable, smart and inclusive urban development. 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 Cities” deals with the application of open data, digital metering, sensors and IoT technologies, asset management and blue-green infrastructures. Moreover, its main goal is to explore the topic from different perspectives, and thus equip students with a multidisciplinary approach and set of skills. In this course, the digitalization of urban critical infrastructure will be analysed, with a particular focus on the urban scale. This course extends, at a larger scale, the content learned during the "Smart Sensing" course. Assessment will include a presentation, the creation of a wiki page and an online quiz. The course will be given in English.

Modulbestandteile

Arbeitsaufwand und Leistungspunkte

Lehrveranstaltungsunabhängiger Aufwand:

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 Sensing” 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
Group 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: - 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:
Winter- und Sommersemester.

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
Dieses Modul findet in keinem Studiengang Verwendung.

Sonstiges

Keine Angabe