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IDE3A Winter School Smart Cities

6

English

#61466 / #1

WS 2020/21 - SoSe 2021

Fakultät VI

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Institut für Stadt- und Regionalplanung

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Rabe, Jochen

Hegyi, Dóra

rabe@tu-berlin.de

POS-Nummer PORD-Nummer Modultitel
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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:

No information

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 points per 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

1.01.31.72.02.32.73.03.33.74.0
86.082.078.074.070.066.062.058.054.050.0

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

This module can be completed in one semester.

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 reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  unavailable

Literature

Recommended literature
No recommended literature given.

Assigned Degree Programs

This moduleversion is used in the following modulelists:

Miscellaneous

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