Advanced Certificate in Robotic Music Composition: Data-Driven
-- ViewingNowThe Advanced Certificate in Robotic Music Composition: Data-Driven course is a comprehensive program that empowers learners with the skills to create algorithmic and generative music using AI and machine learning technologies. This course is vital in today's music industry, where data-driven music composition is increasingly in demand.
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⢠Advanced Music Theory: an in-depth study of music theory, including harmony, melody, and counterpoint, with a focus on how these concepts can be applied in robotic music composition.
⢠Introduction to Robotic Music Composition: a unit covering the basics of robotic music composition, including the history of the field, the different types of robotic musicians, and the software and hardware required for composition.
⢠Data Analysis for Music Composition: techniques for analyzing data to inform music composition, including data mining, machine learning, and statistical analysis.
⢠Algorithmic Music Composition: the use of algorithms and computational processes to generate music, including the use of programming languages such as Python and Max/MSP.
⢠Machine Listening for Music Composition: the use of machine learning algorithms to analyze and interpret audio data, enabling the creation of music that responds to its environment.
⢠Interface Design for Robotic Musicians: the design of interfaces for controlling robotic musicians, including the use of sensors, actuators, and other input devices.
⢠Sound Synthesis for Robotic Musicians: techniques for generating sound using software and hardware, including the use of physical modeling and digital signal processing.
⢠Collaborative Robotic Music Composition: the development of systems for collaborative music composition involving both human and robotic musicians.
⢠Evaluation and Criticism of Robotic Music: techniques for evaluating and critiquing robotic music compositions, including the use of objective and subjective metrics.
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