Die Vorlesung findet online asynchron statt.
Die Präsenz-Übungen am Donnerstag finden im Raum RH1 B0.10 des DFKI statt.

Profil: SQ, DMI
Schwerpunkt: IMA-SQ, IMA-AI, IMVA-DMI
Die Veranstaltung beginnt am 25.10.2022

Profil: KIKR, DMI
Schwerpunkt: IMVA-DMI, IMVA-AI

Profil: KIKR, DMI
Schwerpunkt: IMAP-DMI, IMAP-VMC.
English or German.
Over the past two decades, VR has established itself as an important tool in several industries, such as manufacturing (e.g., automotive, airspace, ship building), architecture, and pharmaceutical industries. During the past few years, we have been witnessing the second "wave" of VR, this time in the consumer, in particular, in the entertainment markets.

Some of the topics to be covered (tentatively):
• Introduction, basic notions of VR, several example applications
• VR technologies: displays, tracking, input devices, scene graphs, game engines
• The human visual system and Stereo rendering
• Techniques for real-time rendering
• Fundamental immersive interaction techniques: fundamentals and principles, 3D navigation, user models, 3D selection, redirected walking, system control
• Complex immersive interaction techniques: world-in-miniature, action-at-a-distance, magic lens, etc.
• Particle systems
• Spring-mass systems
• Haptics and force feedback
• Collision detection
• Acoustic rendering
The assignments will be mostly practical ones, based on the cross-platform game engine Unreal. Participants will start developing with "visual programming", and later use C++ to solve the assignments.
You are encouraged to work on assignments in small teams.
https://cgvr.cs.uni-bremen.de/teaching/

Profil: DMI
Schwerpunkt:IMVA- DMI

Die Veranstaltung richtet sich an Studenten der Informatik und Digitalen Medien. In Gruppenarbeit sollen die Studierenden semesterbegleitend ein App-Projekt umsetzen. In der Vorlesung werden alle relevanten Informationen der modernen Softwareentwicklung, mit Fokus auf die mobile App-Entwickung, vermittelt. Dazu gehören Themen wie mobiles Testing, Scrum, UX Design, Evaluation & Nutzertests, Design Patterns und Cross-Plattform-Entwicklung. Das Ziel dabei ist die Vermittlung von praxisrelevantem Wissen aus dem Alltag eines erfolgreichen Unternehmens.

Profil: KIKR
Schwerpunkt:IMVP- AI
Die Vorlesung findet asynchron per Video Lectures statt.

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.

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

Description:

Description: https://www.uni-bremen.de/fileadmin/user_upload/fachbereiche/fb9/zemki/docs/comments/Comments_WiSe22-23/A1_Katzenbach.pdf

Description: https://www.uni-bremen.de/fileadmin/user_upload/fachbereiche/fb9/zemki/docs/comments/Comments_WiSe22-23/A3_RaddeAntweiler_DMS.pdf

This course welcomes students who wish to complete the following modules:
M.A. E-SC: OrMO (Orientierungsmodul 1. Semester)
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, graphic novels 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.