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 2020/21 - SoSe 2021.

Module / Version:
#61466 / #1

Validity:
WiSe 2020/21 - SoSe 2021

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

During this course, the students will acquire knowledge about the latest advances on digitalisation at the level of cities, the so called "smart cities". Topics will include applications of open data, digital metering, sensors and IoT technologies, asset management and green-blue infrastructures. The technical content on digital sensors, data management and modelling will be coupled with content introducing the ‘bigger picture’, explaining urban ecosystems and interconnected critical urban infrastructure (e.g., water networks, electricity grid, sensor networks), with theory, methods, and applications. The students will learn about the state-of-the-art developments and challenges related to smart cities both in the fields of research and practice. They will approach the practical implementation of solutions to currently relevant problems in the field of digitalisation of critical urban infrastructure. They will learn how to concisely pitch a project idea and proposed solutions to complex technical and social challenges.

Content

The block course “Smart Cities” deals with the area of digitalisation at the urban scale and the network of connected urban critical infrastructures. Moreover, its main goal is to explore the topic from different perspectives, thus equip students with a multidisciplinary approach and set of skills. In this course, the phenomenon of 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 learnt during the course "Smart Sensing" and “Smart Buildings”. During the "hackathon" activity, the students will be actively fostered to develop own solutions to relevant problems related to the course content. Assessment includes a final presentation of the solution developed in teams to the hackathon challenges. The lectures will be given in English.

Module Components

Workload and Credit Points

Course-independent workload:

Workload description	Multiplier	Hours	Total
Attendance	15.0	4.0h	60.0h
Pre/post processing	15.0	8.0h	120.0h
			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 lectures will be mainly in a frontal presentations format and held virtually via Zoom. Slides will be made available to students. The project (hackathon) includes presentation sessions to guide the student through the solution development process and give them feedback. A short (max 7 pages) final report will be delivered at the end of the course as a deliverable of small hackathons with teams of participating students. The course is going to be fully virtual and everything is going to be managed online. 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 as a five-days (3 +2) intensive teaching week plus a digital post-processing part with included 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. Previous attendance of the course "Smart Sensing and Smart Buildings" is encouraged.

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 pro Element

Language

English

Test elements

Name	Weight	Categorie	Duration/Extent
Group Assignement - project report	1	written	No information
Group Presentation - hackathon solution	1	oral	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: - a final oral exam, including the presentation of the solutions developed by student teams to the hackathon challenge and a Q&A session; - and a short project report (approx. 7 pages).

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 30.

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