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Lehrveranstaltungen WiSe 2021/2022

Zertifikatsstudium Grundlagen Digitaler Medien in pädagogischen Kontexten

Veranstaltungen anzeigen: alle | in englischer Sprache | für ältere Erwachsene | mit Nachhaltigkeitszielen

Digitale Medien in Lernumgebungen

VAKTitel der VeranstaltungDozentIn
03-06-M-304Topics in Media Informatics: Algorithmic Thinking (with Processing) (in englischer Sprache)


wöchentlich Di 14:00 - 18:00 MZH 1100

Für Informatik-Studierende: Modulbereich "Spezielle Themen der Digitalen Medien", Profil: DMI.

Frieder Nake
03-IBGA-FI-RDLRobot Design Lab (in englischer Sprache)


wöchentlich Mi 10:00 - 12:00 Online Fragerunde und Übung
wöchentlich Do 10:00 - 12:00 Übung Präsenz
wöchentlich Do 14:00 - 16:00 Übung Präsenz

Die Vorlesung findet online asynchron statt.
Die Präsenz-Übungen am Donnerstag finden im Raum RH1 A1.03 des DFKI statt.

Frank Kirchner
Dr. rer. nat. Teena Hassan
M. Sc. Mihaela Popescu
03-IMAA-ITMDS (03-MB-802.02)IT-Management und Data Science (in englischer Sprache)
IT Management and Data Science


Mo 01.11.21 16:00 - 18:00
Mo 15.11.21 16:00 - 18:00
Mo 29.11.21 16:00 - 18:00
Mo 13.12.21 16:00 - 19:00
Mo 10.01.22 16:00 - 18:00
Mo 14.02.22 16:00 - 19:00

Profil: SQ, DMI
Schwerpunkt: IMA-SQ, IMA-AI, DMI

Prof. Dr. Andreas Breiter
03-M-GS-6Data Science in Natural Sciences using R (in englischer Sprache)
a course on R programming and data science methods with practicals and projects


wöchentlich Mi 14:00 - 16:00 Externer Ort: MZH 0240 for Lecture and Work on Computers (2 SWS) Work on Computers in MZH-0240

The course provides an introductory level of programming skills in R.
Students are welcome to present own ideas, data and projects. I expect a project report or a method talk with demo on own data. Practicals in "R" will work also on synthetic data to illustrate methods features, limitations and differences.

Prof. Dr. Stephan Frickenhaus
08-M27-2-CBA-1Data Analysis and Visualisation (in englischer Sprache)
Datenanalyse und Visualisierung


wöchentlich Do 08:00 - 10:00 GW2 B2760 (CIP-FB 8) (2 SWS)

The course "Data Analysis and Visualization" aims to accompany beginners in data science on their very first steps towards using a programming language as valuable tool in scientific data analysis. The course will work with the programming language "Python" (version 3.7, 64-bit) and the open source web application "Jupyter Notebook" (part of Anaconda application). At the end of the course the students should be able to:

  • work with the web application "Jupyter Notebook", using the programming language "Python"
  • find, import, clean, manipulate and process data, using Python
  • do basic statistics and analysis on data sets
  • work with time series in data sets
  • visualize and present data in scientific manner

M. Sc Melissa Mengert
08-M27-2-CBA-2Geographical Information Systems (GIS) (in englischer Sprache)
Geographische Informationssysteme (GIS)


wöchentlich Mo 12:00 - 14:00 GW2 B2760 (CIP-FB 8) (2 SWS)
Marco Möller
09-71-A.3-1Communication, Religion and Ethics in Digital Society (in englischer Sprache)


wöchentlich Do 14:00 - 16:00 GW1 B2130 (2 SWS)

Do 25.11.21 12:00 - 14:00 GW1 B2130

Dr. Dr. Lisa Kienzl
10-76-3-WD1-03Key Topics in Linguistics: The language of computer‐mediated communication (in englischer Sprache)


wöchentlich Di 10:15 - 11:45 GW2 A3390 (CIP-Labor FB 10)

Sa 29.01.22 14:00 - 18:00 Zoom

In this course we will explore different genres of computer-mediated communication, including social networking sites, (micro-)blogs, online comments and online reviews. We will investigate concepts such as identity construction, intertextuality, anonymity and privacy, multimodality, and multilingual practices, to name a few.
Students will work on small assignments throughout the semester (portfolio) to get hands-on experience with researching digital discourse and social practices online.

Dr. Ramona Kreis
10-M80-1-OrMo-02Media Aesthetics, Media Genres and Media History (ZOOM only) (in englischer Sprache)


wöchentlich Do 12:15 - 13:45 Online

This course welcomes students who wish to complete the following modules:
M.A. E-SC: OrMO (Orientierungsmodul 1. Semester)
M.A. E-SC SpecMo (Spezialisierungsmodul 3. Semester);
M.A. TnL Vertiefungsmodul und Profilmodul Literatur
Zertifikatsstudium Grundlagen Digitaler Medien in pädagogischen Kontexten > Digitale Medien in Lernumgebungen

We are thoroughly surrounded by media on a daily basis, living, so to speak, in a “mediatized” society (Voigts-Virchow, 2005: 5), where the majority of information and knowledge is not perceived through a first-hand experience, i.e. somatically, but information that came to us via a medium, in other words, symbolically (Ott and Mack, 2010: 1). According to a number of critical textbooks in Media studies in English, a course on media aesthetics can supply the basis for media literacy by examining the meaning of visual images for use in film and electronic media.

Delineating from a quintessential understanding of media aesthetics as a study in sensory perception, as a study in value, and a study in the stylistic and formal properties of artistic products, the course will maintain a more philosophically minded orientation in the first half of the course by providing students with an extensive overview of the field of old, new and hybrid forms of media (print, painting, and photography, broadcast, radio play, TV, film, hypertext, simulation systems, videogames and digital art). The sessions on film analysis (narratological and dramatic composition) will however incorporate some aspects of applied media aesthetics by exploring major aesthetic image elements including light, colour and sound in greater detail.

We will meet in weekly online ZOOM seminar sessions, but students will also have access to weekly study units. Since some of the participants are required to submit a research-based term paper, we will use parts of our seminar discussions to the development of topics, the formulation of a thesis statement, as well as considerations about the methodological approaches of writing such a paper. A reader with selected secondary text materials will be made available for download on Stud. IP. You will need access to Stud.IP and a laptop or tablet with sound and audio capabilities. You may wish to check the sections "Information" and "Schedule" further details such as requirements, weekly schedule, select bibliography and modes of assessment.

Requirements and Assessment
• Interest in the topic discussed and ideally a regular attendance and informed participation in class discussion (not part of your formal assessment);
• in-depth knowledge of the selected reading material,
• homework assignments,
• Portfolio presentation or research-based term paper.
The requirements as formulated above may vary depending on your module choices and your overall degree program.

Dr. Jana Nittel