Generative Art and Computational Creativity

Overview

Ability to identify, describe, evaluate, critique, and contrast generative artworks and computationally creative systems
Ability to implement and test generative art systems by using Max at an intermediate to advanced level
Understanding of and ability to articulate and discuss the societal, ethical, and philosophical issues surrounding computational creativity and generative art practices

Syllabus

Courses under this program:
Course 1: Generative Art and Computational Creativity
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This first course in the two-part program, Generative Art and Computational Creativity, proposes an introduction and overview of the history and practice of generative arts and computational creativity with an emphasis on the formal paradigms and algorithms used for generation. The full program will be taught by Associate Professor from the School of Interactive Arts and Technology at Simon Fraser University and multi-disciplinary researcher, Philippe Pasquier.On the technical side, we will…

Course 2: Advanced Generative Art and Computational Creativity
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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…