Spring 2018 - IAT 380 D100

Special Topics in Interactive Arts and Technology (Arts) (3)


Class Number: 4823

Delivery Method: Distance Education


  • Course Times + Location:

    Location: TBA

  • Prerequisites:

    48 units.



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.


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


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.


  • Quizz 30%
  • MAX assignments 60%
  • In class tests 10%


This is a self-paced class offered ONLINE only through the new MOOC for Art and technology KADENZE (https://www.kadenze.com).
Details: https://www.kadenze.com/courses/generative-art-and-computational-creativity/info

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html