Universität Wien

160019 UE Methods of Technical Measurement in Research on Music (2023S)

5.00 ECTS (2.00 SWS), SPL 16 - Musikwissenschaft und Sprachwissenschaft
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 14.03. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 21.03. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 28.03. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 18.04. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 25.04. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 02.05. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 09.05. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 16.05. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 23.05. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 06.06. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 13.06. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 20.06. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
  • Tuesday 27.06. 15:00 - 16:30 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01

Information

Aims, contents and method of the course

The technical possibilities for musicological research and teaching have increased rapidly in recent years. Especially with the implementation of the MediaLab at our faculty, our department received an additional and breathtaking innovation boost.
The aim of the seminar is to get to know the different devices, methods and possibilities of Systematic Musicology and to use them for your own (master) projects and ideas. In addition to the devices available at the Institute and the MediaLab (among others to choose from: EEG headbands, biodata loggers, audiometers, voice analysis, 3D/360° cameras, 3D scanners, high-speed camera, acoustic camera, eye tracking, motion capture, microphones, etc.), the main focus here is on learning a simple web-based scripting language (P5), which can be used to quickly program interactive audio/video and/or machine learning applications. An introduction to data collection using LimeSurvey and SoSci-Survey as well as the department's own tools (motion tracking, capturing facial expressions and emotions, capturing audio features), their statistical analysis using JASP and their web-based visualization using Plotly.js will provide you with inspiring tools and starting points for planning and implementing your master project.

Assessment and permitted materials

Short presentations, project presentation, small programming exercises in Plotly.JS and/or P5, study or project (group work 1-3 persons). Regular presence (especially at your own presentation) is required. More than three absences will result in exclusion from the course.

Minimum requirements and assessment criteria

Bachelor's degree, participants should have a basic understanding of empirical work as well as creative curiosity, as well as a sense of experimentation and an affinity for technology (nerds and geeks are welcome).

Examination topics

Reading list

Association in the course directory

MA (2008): M02, M03, M05, M09
MA (2022): S.2, E.SYS, H.SYS

Last modified: Fr 17.02.2023 17:48