Overview
Key facts
The lecture material is illustrated by numerous examples from past and current productions across creative practices such as visual art, music, poetry, literature, performing arts, design, architecture, games, bioart and robotic art. The coursework will have you putting some of these algorithms to practical use in developing new generative pieces using the graphical programming language Max.
Kadenze's Generative Art and Computational Creativity program will provide you with an approachable but comprehensive knowledge of some of the most powerful algorithms out there while addressing relevant philosophical and societal debates associated with the automation of creative tasks.
Programme Structure
Courses include:
- Evolutionary Computing and Genetic Algorithms
- Genetic Programming and Evolutionary Ecosystems
- Artificial Neural Networks and Deep Learning
- Search-based Approaches to Creativity
- Evaluation Methods for Computational Creativity
- Societal and Philosophical Perspectives
Key information
Duration
- Part-time
- 13 days
Start dates & application deadlines
- StartingApply anytime.
Language
Delivered
Campus Location
- Stanford, United States
Disciplines
Visual Arts Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Skill Level : Intermediate
- Equipment: PC or Mac computer with installation privileges
- Software: Max 7
Students should have intermediate knowledge of Max/MSP in order to complete assignments.
Tuition Fees
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International Applies to you
Applies to youNon-residents300 USD / full≈ 300 USD / full - Out-of-State300 USD / full≈ 300 USD / full
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Domestic
Applies to youIn-State300 USD / full≈ 300 USD / full