Overview

Description

CALENDAR DESCRIPTION:

Specific details of courses to be offered will be published prior to registration each semester. This course can be repeated for credit up to a maximum of three times, if topic studied is different. Variable units: 1,2,3,4,5,6,7,8,9.

COURSE DETAILS:

This course proposes an in-depth 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 class presents the various approaches from AI, machine learning, and A-life that have been used for generating creative content. The presentation is illustrated by numerous examples from past and current productions across creative practices such as visual art, new media, music, poetry, literature, performing arts, design, architecture, games, robot-art, bio-art and net-art.

Students get to practice these and develop new generative pieces through assignments and projects in MAX. Finally, the course addresses relevant philosophical, and societal debates associated with the automation of creative tasks.

This is an online class that is offered through KADENZE.COM (partnering with SFU and SIAT):
Details: https://www.kadenze.com/courses/generative-art-and-computational-creativity/info

COURSE-LEVEL EDUCATIONAL GOALS:

At the end of the course the successful student will be able to:
1.      Define, and explain generative art and computational creativity
2.      Identify, describe, evaluate, critique, and contrast generative artworks and computationally creative systems
3.      Describe, and apply the algorithms used for generative art and computational creativity in the creative domains covered in class
4.      Design, implement, and test generative art systems by using MAX at an intermediate to advanced level.
5.      Articulate and discuss the societal, ethical and philosophical issues surrounding computational creativity and generative art practices.

Grading