Kadenze

Learning Outcomes

Generative Art and Computational Creativity Fundamentals

Define, and explain generative art and computational creativity

Ability to identify, describe, evaluate, critique, and contrast generative artworks and computationally creative systems

Generative Algorithms

• Ability to describe and apply the algorithms used for generative art and computational creativity using the following paradigms: randomness, noise, rule-based systems, agents and Multiagent systems and ecosystems, as well as cellular automata and artificial life.

Programming Generative Systems

• Ability to design, implement, and test generative systems by using MAX at an intermediate to advanced level.

Authenticity of this Certificate of Accomplishment can be verified at: https://www.kadenze.com/certificates/verified/BFPL82SM

To receive a Certificate of Accomplishment, participants must meet all course requirements and be able to demonstrate required knowledge and skill through online assessments. Verified: To ensure academic integrity, the identity of all registered members is verified by Kadenze on an ongoing basis. Please note: Some online courses may draw on material from courses taught on-campus but they are not equivalent to on-campus courses. Participants who are currently enrolled or have completed courses offered by Kadenze or any Kadenze institutional partner are not to be considered registered students of the issuing universities. This statement does not affirm that this participant was enrolled as a student at Simon Fraser University in any way. It does not confer a Simon Fraser University grade, course credit, or degree, and Simon Fraser University has not verified the identity of the participant.

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Learning Outcomes