Not available for purchase in India
Enrollment for this course has closed. But you can enroll in a future offering (please select)
Not available for purchase in India
This course proposes a deepened survey of current practices in generative arts and computational creativity with an emphasis on the formal paradigms and algorithms used for generation. In this advanced class, we study how evolutionary computing, neural networks, and procedural generation can produce novel and valuable artifacts. We survey advances in search-based methods and procedural generation. We look at how to formalize aesthetic measures and learn how creative systems can be evaluated.
We illustrate how these algorithms have been used in numerous examples of past and current productions in visual art, new media, music, poetry, literature, design, architecture, games, moving images, and robot-art. Students get to practice these algorithms first hand and develop new generative pieces through assignments and projects in MAX.
Finally, we discuss the societal and ethical implications of the automation of creative tasks, from the fear of artificial intelligence to the algorithmic bias, and from the most technophobic visions to the most technophilic ideals.
Below you will find an overview of the Learning Outcomes you will achieve as you complete this course.
• Ability to describe and apply the algorithms used for generative art and computational creativity such as genetic algorithm and genetic programming, artificial neural networks, enumeration and search, as well as procedural content generation.
• Ability to design, implement, and test generative systems by using MAX at an advanced level.
• Prerequisite: This is the 2nd course in a 2-course program. Students should take "Generative Art and Computational Creativity" before enrolling in this advanced class.
• Skill Level: Students should have intermediate knowledge of Max/MSP in order to complete assignments.
• Equipment: PC or Mac computer with installation privileges
• Software: MAX 7 license
PLEASE NOTE: Taking part in a Kadenze course as a Premium Member does not affirm that you have been enrolled or accepted for enrollment by the institution offering this course. Credit Eligible students should be prepared to provide additional information and consent to Simon Fraser University terms of service at the start of the course.
In order to receive college credit for these program courses, you must successfully complete and pass all 2 courses in this program. If a student signs up for the Generative Art and Computational Creativity program, it is recommended that these courses are taken sequentially.
*Partial credit will not be awarded for completion of only one course.
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