Week 1 (Aug 13) – Updated!

Course Intro

Room Bookings and COVID-19 Regulations

Course Description and Learning Objectives

Lectures on Generative Art:
– Generative art intro
– Generativity in the arts
– Procedural literacy and algorithmic thinking
– Software tools for generative art
– Hardware tools for generative art
– Systems for surprise, discovery and learning

Guest Talks:
– Vladimir Todorović
– Philippe Kocher

Generative Art Projects

Work Study Bryan Leow (ancient photo…)
TUTORIALS AND TECH CONSULTATIONS

Readings

Assessment and Grading

Lecture

Generative Art Intro

Lecture Slides
Examples in 20 Century Art

DADA
Surrealism
Exquisite Corpse
Marcel Duchamp


John Cage, 4:33, 1952

William Anastasi, Subway Drawings, 1960’s
Nam June Paik, Random Access, 1963
Hans Haacke, Condensation Cube, 1963


Steve Reich, Piano Phase, 1967, etc.

Roman Signer, since 1980’s

WE WILL DISCUSS THESE IN MY LECTURE NEXT WEEK.

New Media Art Examples


Golan Levin & Zachary Lieberman – 2007-2010 – Reface (Portrait Sequencer)


Julian Palacz – 2010 – Algorithmic Search for Love


Branger_Briz – 2017 – Muse AI Supercuts (Software Demo)


Mario Klingemann – 2017 – Face Feedback III


Libby Heaney – 2019 – Euro(re)vision


Christian Mio Loclair – 2019 – Blackberry Winter


Robert Seidel – 2004 – _grau

WE WILL EXAMINE AND DISCUSS WORKS IN THE LECTURES THROUGHOUT THE SEMESTER.

Assignment

Reflect on an example of generative art that you find interesting.

Some of the aspects to touch upon:
– What makes this work interesting or inspiring to you?
– What makes it a generative artwork?
– How does it relate to your own creative practice and interests?

Post your reflections with images, links etc. at the OSS Research category by next class Week 2 (20 Aug).

You will use your OSS post for live presentation next class Week 2 (20 Aug).