Ansicht nach Raum H 3001

Computational Communication Research (Seminar)

Hinweis: Dieser Kurs ist nur für Studierende der Medienwissenschaft und Audiokommunikation geöffnet.

Das Ausfüllen der Einschreibungsbefragung ist zwingend erforderlich um an dem Kurs teilzunehmen (Deadline: 12/10/2025, 15:00 Uhr).

Zeit:                                   Di, 16:00-18:00

Ort:                                    H3001

Dozent:                             Dr. Felix Gaisbauer (Weizenbaum-Institut, Berlin)

Modulzuordnung:

Medien- und Kulturanalyse (MA-MED 5) / (MA-SK 13)

Musikinformatik und Medienkunst I (MSc-AKT 9a) / (MA-SK 19a)

Musikinformatik und Medienkunst II (MSc-AKT 9b) / (MA-SK 19b)

Kursbeschreibung:

Does my news consumption become less diverse because I consume news mostly via social media? Is online communication becoming increasingly fast-paced? Are the comment sections I encounter online truly representative of what the average person thinks? Questions like these are addressed by the emerging research field of Computational Communication Science.

Digitization has facilitated human communication to an unprecedented extent. Societies constantly produce, and are confronted with, an increasing amount of information. This alters and extends the research domain of communication science (and the social sciences in general) to new areas such as social media communication, algorithmic mediaton, or networked publics and digital subcultures, to name a few. At the same time, digitization introduces new methodological possibilities and ethical challenges to the discipline. Increased computing power has enabled researchers to study social phenomena in new scale, resolution, and form.

This course will give a holistic introduction to Computational Communication Research. As described above, the digital turn introduces both new research topics and new research methods. Students will learn about new research questions that arise in the digitized world, as well as about new approaches possible with digital methods: Studies of large amounts of digital trace data, automated text analysis, machine learning, and network methods. In parallel, students will get hands-on experience with basic computational methods, introduced gently and practiced mainly during class to ensure inclusivity and accessibility for everyone.

No previous knowledge in programming is needed! Just your willingness to engage with course materials in a playful way (and a laptop). Programming in the course will be self-contained. The programming language that will be used in the course is Python. (The only additional requirement is basic knowledge in statistics.)

Assessment components: a 15-Minute presentation of a scientific study and its methodology (3LP), or carrying out a small research project, documented in a final paper (6LP).

Die Vorlesung gibt einen Überblick über Music Information Retrieval und Machine Learning Verfahren für Studierende der Audiokommunikation und -technologie M.Sc.

Ludwig van Beethoven schuf mit seinen Werken im heroischen Stil und seinem Spätwerk nicht nur zwei neue Stile in der Musik – mit ihm veränderten sich überhaupt Begriff, Ideen und Institutionen der Musik, des Künstlers, ja der Kunst. Ohne Beethoven gäbe es wahrscheinlich keine permanente Verpflichtung zur Innovation, kein musikalisches Ideenkunstwerk, kein Leiden des Künstlers, kein Verstehen und Nicht-Verstehen der Musik, keine musikalische Analyse, keine musikalische Interpretation, kein öffentlich subventioniertes Konzertwesen. Die Lehrveranstaltung, die in Absprache mit den Studierenden teils als Vorlesung, teils als Seminar abgehalten wird, wendet sich den genannten Themen im Wechsel mit exemplarischen Werkbetrachtungen zu.

Das Seminar leistet eine Einführung in die univariate und multivariate Deskriptiv- und Inferenzstatistik, die Grundlagen stichprobenbasierter Schätzungen und Hypothesentests, sowie einfache Verfahren der tabellarischen und grafischen Datenanalyse. In der Lehrveranstaltung wird die kostenlose, plattformübergreifende Open Source Software „Jamovi“ eingesetzt. Ergänzend zu den Kursinhalten wird das ebenfalls kostenlose Lehrbuch „learning statistics with jamovi“ empfohlen, erhältlich zum Download unter: https://www.learnstatswithjamovi.com/

Das Seminar wird als Hybridveranstaltung angeboten und kann statt in Präsenz auch per Zoom besucht werden.

Die Übungs- und Hausaufgaben beziehen sich überwiegend auf die parallel von Prof. Weinzierl im selben Modul angebotene Lehrveranstaltung "Einführung in das wissenschaftliche Arbeiten", deren Besuch darum ebenfalls empfohlen wird.

For detailed information, please subscribe to the course on isis.tu-berlin (link given above)

Berlin has long been the epicenter of the global techno music scene. Emerging from the city's vibrant underground culture in the late 1980s, the Berlin Techno movement gained international recognition for its raw, hypnotic sound and innovative approach to electronic music and dance cultures. In 2024, UNESCO officially inscribed Berlin Techno on its list of intangible cultural heritage. Unfortunately, much of the historical material related to this culture exists only in analog form, scattered across archives and private collections. Additionally, many historically significant clubs have already closed or are set to close, and important figures are passing away. This situation has motivated the seminar organizers to initiate the digital Berlin Techno Archive, an online platform aimed at providing a comprehensive digital resource on Berlin Techno history for researchers and the interested public. Since this culture is inherently tied to venues with distinct looks and sounds, the archive will also include VR reconstructions of the most important venues.

While the organizers are securing funding and industry partners for this large endeavor, the seminar aims to push forward the project and integrate motivated students. In the kick-off seminar, we will focus on two important clubs: the now-closed E-Werk and Wilde Renate, which is set to close by the end of 2025. Participants from TU and UdK, with diverse academic backgrounds, will work in collaborative teams to preserve the unique histories, aesthetics, and sounds of these two venues through hands-on historiography techniques. The seminar's expected outcomes include audiovisual hypertext narratives and VR reconstructions, which are planned to be showcased in a public exhibition alongside selected material artifacts. At the same time, the digitized artifacts, narrative histories, and VR-reconstructed venues produced will form the foundation of the future Berlin Techno Archive.

The seminar offers participants the opportunity to enhance their practical skills in digital archaeology, history, and archival work, as well as current audiovisual VR reconstruction techniques for historic venues, while gaining a deeper understanding of the historical and cultural roots of Berlin's club and techno culture. The seminar will be held in English.