Archiv der Kategorie: Teaching Activities

The course on music data analysis (in German) based on the textbook Music Data Analysis: Foundations and Applications will again take place at TU Dortmund, Department of Statistics in September 2017 (see also the course web page from the last … Weiterlesen →

The student project group “The Reactive Jukebox” (supervised by D. Jannach and I. Vatolkin) will start in summer term 2017. The goal of the project is to develop an application for music recommendation with an interactive interface to listener requests. … Weiterlesen →

In September 2016, the interdisciplinary course on music data analysis based on the textbook “Music Data Analysis: Foundations and Applications” took place at the Faculty of Statistics, TU Dortmund. The course contained lectures, exercises, and an a written examination. The … Weiterlesen →

In winter term 2016/2017, two proseminars will take place at Chair of Algorithm Engineering, TU Dortmund: “Actual challenges in music data analysis” The topics for student talks and works should represent various MIR research areas and will be selected from … Weiterlesen →

In winter term 2015/2016, a proseminar “Actual challenges in music data analysis” (website in German) will take place at Chair of Algorithm Engineering, TU Dortmund. The topics for student talks and works should represent various MIR research areas and are … Weiterlesen →

As a part of Digital Entertainment Technologies student project, various mobile music games will be developed for Android platform using Unity in small groups of 3-5 students. Different features from actual MIR research (audio signal characteristics, high-level semantic descriptors, playlist … Weiterlesen →

The student project group “Music recommender systems – automatic generation of playlists for music discovery” (supervised by I. Vatolkin, G. Bonnin, and D. Jannach) will start in winter term 2013/2014. Further details (in German) are available in the project group … Weiterlesen →

Master thesis Lena Brüder – Music classification using Constant-Q based Features is available (supervised by Prof. Dr. Martin and Dr. Wolfgang Theimer). One of the main outcomes of the study was the recognition of music personal categories using only a … Weiterlesen →