This is a class for anyone who’s interested in the graphical programming language, MaxMSP. If you took one of our free classes but would like to dive in deeper, or used to be awesome at it but that was years ago and you totally forgot, this is the class for you!
Max – The Next Step
Sat, Apr 30, noon to 6pmThis is a class for anyone who’s interested in the graphical programming language, MaxMSP. If you took one of our free classes but would like to dive in deeper, or used to be awesome at it but that was years ago and you totally forgot, this is the class for you.
Max is a programming language that lets you design programs, test them, and use them all in realtime. It is particularly good for artists, as it makes very easy to work with music, images, and movies. Beyond that, Max easily lets you communicate with a variety of sensors, including cameras, microphones, Wii controllers, microprocessors like the Arduino, and the brand new Microsoft Kinect. Max programmers range from dancers who use it to track the motion of their bodies on stage and generate live animations; musicians who sculpt sound using their iPhones; video artists interested in exploring the intersection of code and visual art; kinetic sculptors who make sculptures that come to life only when you pass them by; algorithmic artists; hacktivists; the list goes on and on.
Join the ranks — let your imagination break you out of boxed-in-software. This class will provide every student with a collection of Harvestworks-designed Max programs to make sure you can get up and running quickly.
Space is limited.
Adam Rokhsar is a multimedia artist with degrees in psychology from Cornell University and the University of Pennsylvania. He is a member of the Music Information Retrieval Laboratory, the head coordinator of the Music Technology student interest groups. While earning a Master’s degree in Music Technology from New York University, Adam designs sound for interactive installations, teaches computer music and video programming, and is working on a Master’s thesis on machine learning algorithms. His sound design work can currently be seen in the United States Holocaust Memorial Museum and the Chicago Museum of Science and Industry, and his video work was displayed in the Jakopic Gallery as part of multimedia project Senza Televisione.