Inhalt des Dokuments
Lecture Series "Digital Future" 2020/2021
- © ECDF / TU Berlin
The lecture series "Digital
Future" covers different aspects of the digital transformation
and aims at conveying a basic understanding of the topic. On a weekly
basis, select speakers will present subjects from their research area,
covering different facets of digitalization as well as different
scientific disciplines. As such, the lecture series underlines the
far-reaching significance of the digital transformation.
As in previous years, the lecture series puts an emphasis on a data-driven digital transformation. This year, professors from the Einstein Center Digital Future (ECDF) will staff the program and offer a sneak peek of their research.
The lecture series explicitly addresses all students. It thus contributes to an interdisciplinary education at TU Berlin and beyond. Students will acquire an overview of methods and applications in the area of data-driven digital transformation. This is the first step to become "data literate."
As a lecture series, this module is organized as a sequence of weekly lectures by various lecturers from the ECDF, working for both, TU Berlin and other institutions.
The lecture series takes place on Wednesday, at 4-6 pm. Due to the Corona pandemic, it will be held as an online course, using TU Berlin's Zoom instance. The first meeting is scheduled for 4 November 2020.
The lecture series has a strong interdisciplinary focus and is thus open to all students. It may be especially beneficial to Bachelor students. Note that, while no formal background knowledge is required for participation, technological advances in the digital world constitute the core theme of the lecture series.
You can earn credit points for your studies since this module can be included into your studies of free choice ("freier Wahlbereich"). The course is worth 3 LP. There will be an online assessment ("ePrüfung") at the end of the semester.
In order to join the lecture series, you will need to enroll to the respective ISIS course . If you are unable to join the ISIS course (e.g. guests who don't have an account at TU Berlin), please use this form  to request a guest enrolment key.
|04.11.20||How to become a Data Scientist (in 3 steps)||Timm Teubner||ECDF/TU|
|11.11.20||Make the Magic Box
Transparent: Bias and Transparency in Machine Learning||Helena Mihaljević||ECDF/HTW|
|18.11.20||The Social Construction of Risk in Digital Preservation: A
Qualitative Study of Trustworthy Digital Repository Audit
Counter-Culture||Michelle Christensen/Florian Conradi||ECDF/TU/UdK|
|16.12.20||Computer Supported Cooperative
Work and Social Computing (cancelled)||Christian
|– lecture-free period
|06.01.21||Urban Energy Model based on CityGML||Rita Streblow||ECDF/TU/RWTH|
|13.01.21||Digitalization of Urban
Water Systems||Andrea Cominola||ECDF/TU|
|20.01.21||SimRa: Safety in Bicycle
|03.02.21||Digital Imaging for
Virtual Treatment Planning||Tabea
|17.02.21||Synthetic Data for Cardiovascular Research||Leonid Goubergrits||ECDF/Charité|
Charité: Charité Universitätsmedizin Berlin, ECDF: Einstein-Center Digital Future, FU: Freie Universität Berlin, HTW: Hochschule für Technik und Wirtschaft Berlin, HU: Humboldt-Universität zu Berlin, PTB: Physikalisch-Technische Bundesanstalt, RWTH: Rheinisch-Westfälische Technische Hochschule Aachen, TU: Technische Universität Berlin, UdK: Universität der Künste Berlin