The workshops will be given according to the schedule below.
At all other times, Discord (online) will assist you with questions and answers and practical training individually or in small groups. Discord is divided into levels. It is also possible to reserve the time in advance.
|10:00||Very Beginner Course||Concert|
|For those who touch Max for the first time||Max MIDI programming basics||Max Audio Programming (MSP) Basics||Max Visual Programming (Jitter) Basics|
|Random event music using MIDI||Creating a simple synthesizer||Expanded approach to work by event processing||Creating interactive music using sensor devices|
|Max and MSP according to the intermediate level 1||Max and MSP according to the intermediate level 2||Algorithmic composition||Mapping interface and gestures|
|Max's physiological signal muscle tension and signal processing||Interactive machine learning to create neural network regression mappings using Rapidmax objects||Ambisonics and Max via the HOA library||The interface between Max and the FAUST programming environment|
|MaxによるMoog Werkstatt-01のシミュレーション||作品のために制作した電子楽器デバイスの解説||９軸モーションセンサーとMAX||Antescofo―スコアフォローイングとその応用― Shi-Ki-So-ku-Ze-Ku|
|Very Beginner Course||Beginner Course||Intermediate Course||Advanced Course||Evening Sessions|
|8/1||For those who touch Max for the first time||Random event music using MIDI||Pause||Max and MSP according to the intermediate level 1||Max's physiological signal muscle tension and signal processing||MaxによるMoog Werkstatt-01のシミュレーション|
|8/2||Max MIDI programming basics||Creating a simple synthesizer||Max and MSP according to the intermediate level 2||Interactive machine learning to create neural network regression mappings using Rapidmax objects||作品のために制作した電子楽器デバイスの解説|
|8/3||Max Audio Programming (MSP) Basics||Expanded approach to work by event processing||Algorithmic composition||Ambisonics and Max via the HOA library||９軸モーションセンサーとMAX|
|8/4||Max Visual Programming (Jitter) Basics||Creating interactive music using sensor devices||Mapping interface and gestures||The interface between Max and the FAUST programming environment||Antescofo―スコアフォローイングとその応用― Shi-Ki-So-ku-Ze-Ku|
For those who are new to Max, we will explain very basic usage of Max and what you can do with Max.
We will explain in an easy-to-understand manner how sounds can be produced by MIDI and how numerical values can be manipulated.
We will explain in an easy-to-understand manner how sound can be produced by audio (audio processing). You will also learn how to make the simple patches needed for MSP.
In addition to the methods we have done so far, we will explain the basics of how Jitter can handle images.
We will explain Max and MSP according to the intermediate level. We will mainly talk about how to process the input data and how to convert it into sound and images.
Next, I will explain Max and MSP according to the intermediate level. We will mainly talk about how to process the input data and how to convert it into sound and video. In particular, I will explain how to handle the mapping interface.
We will focus on the algorithmic composition. In particular, we would like to introduce the Bach library https://www.bachproject.net)
We will explain how to recognize gestures in relation to the second mapping interface. We mainly introduce Mubu (https://forum.ircam.fr/projects/detail/mubu/).
In this advanced course, Atau Tanaka, David Fierro and Francesco Di Maggio will present their work in the Brain Body Digital Musical Instrument (BBDMI) at the MSH Paris Nord and Université Paris 8. The will present the use of novel sensor interfaces to detect electyromyogram (EMG) muscle tension and signal processing of the physiological signal in Max. They will present the use of Interactive Machine Learning to create neural network regression mapping using the rapidmax object and other externals in Max. They will present the spatial control and composition of sound using Ambisonics via the HOA Library and interfaces between Max and the FAUST programming environment.
Atau Tanaka, David Fierro, Francesco Di Maggio
We will show you how to use interactive machine learning to create neural network regression mappings using Rapidmax objects and other externals of Max.
Introducing the spatial control and composition of sound by Ambisonics and Max via the HOA library.
Introducing spatial control and configuration of sound using the interface between Max and the FAUST programming environment.
In each course, a certificate will be given to those who attended more than three-quarters of the prescribed time.
*Depending on the course, a certificate of completion may not be awarded to those who cannot take the course on the designated date.
Tokyo University of the Arts, Senju Campus Office
TEL: 050-5525-2727 (Weekdays 9: 00-17: 00, closed on weekends and holidays)
*When making inquiries, please contact (1) the name of the applicant, (2) the name of the course you wish to attend, (3) the details of corrections, and (4) the contact information of the applicant.
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