Moses - IDE3A Winter School Smart Cities

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WiSe 2021/22 - WiSe 2022/23.

Module / Version:
#61466 / #2

Validity:
WiSe 2021/22 - WiSe 2022/23

Default display language:
English

Module title:
IDE3A Winter School Smart Cities

Credits:
6

Responsible person:
Rabe, Jochen

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät VI

Institute:
Institut für Stadt- und Regionalplanung (ISR)

Area of expertise:
No information

Prüfungsausschuss:
Stadt- und Regionalplanung

Kontakt

Office:
No information

Contact person:
Hegyi, Dóra

E-mail address:
rabe@tu-berlin.de

Website:

http://www.ide3a.net

Learning Outcomes

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”.

Content

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.

Module Components

Workload and Credit Points

Course-independent workload:

Workload description	Multiplier	Hours	Total
Attendance	7.0	8.0h	56.0h
Pre- / Post Processing	2.0	40.0h	80.0h
Team Project Assignment	1.0	44.0h	44.0h
			180.0h(~6 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

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.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

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.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
Group Presentation (Hackathon Solution)	35	oral	No information
Quiz	15	written	No information
Wiki Page (Hackathon Solution)	50	written	No information

Grading scale

Notenschlüssel »Notenschlüssel 1: Fak IV (1)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	86.0pt	82.0pt	78.0pt	74.0pt	70.0pt	66.0pt	62.0pt	58.0pt	54.0pt	50.0pt

Test description (Module completion)

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

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 40.

Registration Procedures

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

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous

No information

IDE3A Winter School Smart Cities