Computer science applied to music

A.Y. 2019/2020
Overall hours
Learning objectives
The course objective is to introduce students to music applications of computer science, both considering written music and audio signals at different representation levels.
Expected learning outcomes
It is expected that students learn basic abilities for coding and processing of music information at various repesentation levels, considering both written music and audio signals.
Course syllabus and organization

Single session

Lesson period
Second semester
Course syllabus
Formal description of music information. Representation levels. Multilayer description and interaction. Special languages (DARMS, MUSIC V, SMDL, NIFF).
Audio information: linear codes; differential codes; lossless and lossy (MP3 & AAC) codes; audio & music features' recognition within audio signals.
Timbre programming: sampling, mathematical and physical models.
Performing information: the MIDI standard.
Symbolic information: optical music recognition (OMR); music archives; music information querying and retrieval by contents; music electronic publishing; analysis and pattern recognition of scores; generative models.
Structural information: processing and synthesis of symbolic information; Musical Petri Nets.
Multilayer information: MPEG4 SASL/SAOL, MPEG7, MPEG21, IEEE MX.
Technologies for Digital Rights Management.

Experimental activities in a specially equipped laboratory about:
- digital audio signal processing (MatLab);
- feature extraction;
- kNN classification;
- timbre programming;
- MIDI sequencing;
- digital score processing (MuseScore);
- analysis/processing/synthesis multilayer models;
- technologies for Digital Rights Managenent.
Prerequisites for admission
Elements of audio digital signal processing, and computer programming.
Teaching methods
The theoretical part of the course is carried out through lectures, enriched by multimedia and web examples. The experimental part of the course alternates lectures and practical training for individuals or small groups.
Teaching Resources
Teaching materials can be downloaded from:
An Ariel site of the course is under development.
Assessment methods and Criteria
The examination consists in two tests: a written test, and an individual project test; both them are required.
The written test consists in about ten theoretical open questions .
The project test consists in the development of individual projects concerning methods, techniques, and software tools learned in the frame of experimental training activities of the course.
Each of the two tests gives an evaluation expressed in thirtieths. The average of the two gives the global evaluation obtained.
Prima parte
INF/01 - INFORMATICS - University credits: 9
Lessons: 72 hours
Professor: Haus Goffredo
Seconda parte
INF/01 - INFORMATICS - University credits: 3
Lessons: 24 hours
Terza parte
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours