(under 'Information')
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Week 1
August 11
Introduction to GenArt
Week 2
August 18
Autonomous Systems in Art
Exercise 1 (5%)
Week 3
August 25
Coding in Art
Exercise 2 (5%)
Week 4
September 1
Natural Intelligence in Art
Live Performance in GenArt
Week 5
September 8
AI in Art
Exercise 3 (5%)
Week 6
September 15
Creating Generative Art
Week 7
September 22
Individual Presentations
Presentations (15%)
September 29
Recess Week
Week 8
October 6
Intro to TouchDesigner 1
Week 9
October 13
Intro to TouchDesigner 2
Week 10
October 20
Deepavali (no class)
Week 11
October 27
Working session: Final Project
Final Project (40%)
Week 12
November 3
Working session: Final Project
Week 13
November 10
Final Project Presentations
Exercise 4 (5%)
Exercise 5 (5%)
Week 14
November 17
Submission Deadline (no class)
What does generative mean to you?
What are your interests in generative art?
Survey of everyone's knowledge and skills in softwares or hardwares
Jo Ho (b. 1991, Singapore) is an artist working with emerging technology to explore human perceptions and imaginations of our rapidly advancing computational tools. She often questions the conception that digital assets are immaterial by exploring what she calls ‘digital corporeality’, the bridging of the digital with the corporeal.
Jo works with interactive installations, moving images, projection mapping, digital paintings using data and machine-learned graphics as material, and virtual experiences created with game engines. Recently, she has been incorporating performance in her practice to further extend emerging digital tools into live- and body-based work.
2016
Breakaway into smaller groups.
Write down your thoughts.
Discuss amongst each other:
‣ Which projects were you most drawn to?
‣ What were some similar characteristics?
‣ How were the projects 'generative'?
‣ What disciplines does GenArt span?
‣ What kind of soft/hardware did you see?
Let's share what you found in your discussions.
But first: Let's do a word association exercise. Jo will start first, and whoever has a similar word sounds it out. Don't worry about interrupting each other.
Let's share what you found in your discussions.
‣ Which projects were you most drawn to?
‣ What were some similar characteristics?
‣ How were the projects 'generative'?
‣ What disciplines does GenArt span?
‣ What kind of soft/hardware did you see?
Generative art refers to any art practice where the artist uses a system, such as a set of natural language rules, a computer program, a machine, or other procedural invention, which is set into motion with some degree of autonomy contributing to or resulting in a completed work of art.
An algorithmic way of creating an aesthetic.
A collaboration between an artist and an autonomous system.
An exercise in extracting unpredictable results from perfectly deterministic processes.
A quest for that sweet spot between order and chaos.
A fresh, fun approach to coding
Some questions to think about:
‣ How do the authors challenge or support your understanding of "creations" from a machine?
‣ Which of these resonates most with you and why? How does it relate to you?
‣ How do the authors define "good" generative art? Do you agree?
Read 'Ten Questions Concerning Generative Computer Art'
By Jon Mccormack, Oliver Bown, Alan Dorin, Jonathan McCabe, Gordon Monro and Mitchell Whitelaw
‣ How do the authors challenge or support your understanding of "creations" from a machine?
‣ Which of the questions are you most curious about and why?
‣ How do the authors define "good" generative art? Do you agree?
Read 'Ten Questions Concerning Generative Computer Art'
By Jon Mccormack, Oliver Bown, Alan Dorin, Jonathan McCabe, Gordon Monro and Mitchell Whitelaw
Randomly generated
Unpredictable
Using uncertainty
Unrepeatable
Unique
Varying outcomes
Autonomous systems
Process-driven
Geometric/abstract
Procedural Systematic
Artists set the rules
Recipes
Time, environment
Building relationships
Changing results
Viewer interaction
Datasets
Iterations
Algorithms
Repetition
Randomness
Automation
Controlled Chaos
Interactivity
Commentary
Autonomous
Algorithms
Visuals
Rules
Time
Game design
Manual/analog
Line art
Robotics
Visual Art
Sonic art/Music
Computer Science
Engineering
Math
Sciences
Graphic Design
Architecture
Painting
Installation
Image-making
Video Art
Computers
3D Printers
Digital Screens
Projector
Robots
Cameras
Mics
Sensors
Speakers
Environment
Nature
Paint / Trad Media
Cameras
P5js
TouchDesigner
Unity
Animated
Minimalistic
Humor
Abstract
Interactivity
Natural
Geometric
Data-driven
Painting
Games, programming
Point clouds
Experimental
Surrealism
Organic
Avatars
Coined in 1965 by the German philosopher Max Bense, the term generative art describes works based on an algorithmic code or a mathematical formula. Generative art is made through a set of rules that automates the output where there is usually randomness embedded in the algorithm.
"Bense’s theory of generative art assumes not only that aesthetic experience can be measured but that it can also be rationally and predictably produced.
‣ How does the artist approach technology?
‣ What is the artist investigating when working with technology?
‣ How do you think the artist addresses the viewer in their work?
By World War I, he had rejected the work of many of his fellow artists as “retinal” art, intended only to please the eye. Instead, Duchamp wanted, he said, “to put art back in the service of the mind.”
The Idea of the Fabrication
–If a threadone meter longfalls straight from a height of one meter on to a horizontal plane twisting as it pleases and creates a new image of the unit of length
— 3 examples obtained more or less similar conditions considered in their relation to one another they are an approximate reconstitution of the unit of length
The 3 standard stoppages are the meter diminished.
Asked what he considered to be his most important work, he replied: 'As far as date is concerned I'd say the Three Stoppages of 1913. That was when I really tapped the mainspring of my future. In itself it was not an important work of art, but for me it opened the way - the way to escape from those traditional methods of expression long associated with art. For me the Three Stoppages was a first gesture liberating me from the past.'
Reacting against the rise of capitalist culture, the war, and the concurrent degradation of art, artists in the early 1910s began to explore new art, or “anti-art”, as described by Marcel Duchamp. They wanted to contemplate the definition of art, and to do so they experimented with the laws of chance and with the found object.
Theirs was an art form underpinned by humor and clever turns, but at its very foundation, the Dadaists were asking a very serious question about the role of art in the modern age.
1920
1935
1976
Audio casette
Video game console
The computer mouse
Telephone network
Computer networking
Satellite communications
Lasers
Optical fibers
Robert Rauschenberg
Robert Whitman
Bill Klüver
Fred Waldhauer
Robert Breer
John Cage
Chandralekha
Lucinda Childs
Öyvind Fahlström
Deborah Hay
Marcos Marin
Fujiko Nakaya
Dashrath Patel
Steve Paxton
Yvonne Rainer
Vikram Sarabhai
Xanti Schawinsky
David Tudor
Andy Warhol
Beatie Wolfe
Nam Jun Paik
The sprawling Murray Hill campus on Mountain Avenue was a bustling center for innovation in suburban Union County for decades. It served as the headquarters for a 90-year-old company whose researchers helped earn 10 Nobel Prizes, five Turing Awards for computer science breakthroughs and more than 20,000 patents.
At its height, Bell Labs employed nearly 15,000 people in New Jersey, including some of the world’s top scientists and innovators.
2013
An introduction to p5.js
‣ Functions help structure your code.
‣ Code is executed from top to bottom (order matters).
‣ Curly braces {}
help enclose code in a function.
‣ Don't for get your camelCase.
‣ American spelling when calling for built-in variables and functions.
‣ Arithmetic rules here apply
Important things to note
‣ Arithmetic rules here apply
Important things to note
+ addition
- subtraction
* multiplication
/ division
ctrl + /
to comment Windows
cmd + /
to comment on Mac
console.log()
to talk to the JS Console
Colors are either in RGB (255, 255, 255)
or in hexadecimal ('#000000')
.
Important things to note
‣ p5.js reference [link]
‣ 2D Primitives [ellipse / line / rect]
‣ Styling [fill / noFill / stroke / strokeWeight / noStroke]
Let's begin with simple shapes and styling
‣ p5.js reference [link]
‣ Randomness, values between a range [random]
‣ Ever increasing value based on when the sketch was started [frameCount]
‣ Creating simple conditions based on in-built functions like mousePresssed / keyPressed
Let's begin with simple animation
‣ Open and duplicate each of the code listed on the right.
‣ Experiment with it. How else could you transform the outcome?
‣ Is there anything you do not recognize? Variables or functions? Search on the p5.js reference to understand more.
Experiment with already created code
Experiment with already created code
Some questions to think about:
‣ How does Pearson differ in his definition of Generative Art from Galanter?
‣ What example or idea stood out to you?
‣ How could you apply Pearson's way of thinking about your own creative process?
By Matt Pearson, forward by Marius Watz
Some questions to think about:
‣ How does Pearson differ in his definition of Generative Art from Galanter?
‣ What example or idea stood out to you?
‣ How could you apply Pearson's way of thinking about your own creative process?
By Matt Pearson, forward by Marius Watz
On a sheet of paper:
‣ Place 25 points at random. These dots should be evenly distributed.
‣ All of the points should be connected by straight lines.
Drawing #118
By Sol Lewitt
Draw as you interpret the instructions. There is no right or wrong way!
1968 - 2007
LeWitt himself observed in 1971 that "each person draws a line differently and each person understands words differently".
The variations in the pressure and speed of the crayon line, its darkness and breadth, the abruptness with which lines end and the confidence with which they meet, will always depend on who's doing the drawing. LeWitt continued: "Neither lines nor words are ideas, they are the means by which ideas are conveyed."
1976
Early computer art generally refers to computer art made from the 1950s through the 1980s, before personal computers were widely available and used. Much of this art was created by engineers and scientists, as computing resources were accessible only in university and research laboratories.
Random Polygonal Train
1965
100 Trapezes
1976
P-197 J
1979
Computergrafik Computerplastik
1970
1972
1965
1968
Also known as computer-generated art, and can also include fractal art.
It uses simple algorithms to create art and can be output by a computer display, printed, or drawn using a plotter.
Also known as computer-generated art, and can also include fractal art.
It uses simple algorithms to create art and can be output by a computer display, printed, or drawn using a plotter.
Peter Bauman: At Le Random, we think of generative art history by generation, informing our collection as well as projects like our Generative Art Timeline. We’ve identified eight phases that fit into three very broad generations:
Generation 1: 1950s - 1980s (The Computer Era)
Generation 2: 1990s - 2014 (The Internet Era)
Generation 3: 2015 - today (The On-Chain Era)
Can you talk about how you would group the different generations of digital generative artists?
Casey Reas: I think of the first generation as the “Mainframe Era.” And then I think of the second as the “Studio Era.” When computers went into artist studios, it was a major change and a major shift. The Apple II (1977), Commodore 64 (1982) and Commodore Amiga (1985) all represent enough of a change, moving out of the research labs and into artist studios, that it's a whole other era.
‣ How did each artist use rules or systems differently?
‣ How were the artworks influenced by the technology the artists used?
‣ Which artist's approach inspires you most?
‣ If you had to choose one rule, system or process from what you saw today to experiment with, which would you choose?
Artists who use code to make art
Covered last week
+ addition
- subtraction
* multiplication
/ division
ctrl + /
to comment Windows
cmd + /
to comment on Mac
console.log()
to talk to the JS Console
Colors are either in RGB
(255, 255, 255)
or in hexadecimal ('#000000')
.
‣ 2D Primitives [ellipse / line / rect]
‣ Styling [fill / noFill / stroke / strokeWeight / noStroke]
‣ In-built variables [mouse X / mouse Y / width / height]
‣ Random values between a range [random(min, max)]
‣ Ever-increasing value [frameCount]
‣ Simple conditions mousePresssed / keyPressed
To cover this week
> greater than
< less than
>= greater than or equal to
<= less than or equal to
== equal to
!= not equal to
‣ Comparison operators
+= addition assignmnet
-= subtraction assignment
*= multiplication assignment
/= division assignment
%= remainder assignment
‣ Assignment operators
&& (and) both conditions are true
| | (or) if at least 1 condition is true
‣ Logical operators
Conditional Statements
Conditionals in code (if, else if, else) let a program make decisions by running different instructions depending on whether certain conditions are true or false.
Conditional Statements
‣ Custom variables [let]
‣ RGB color information [color]
‣ Conditionals [if, else if, else]
Switch Statement
‣ Switch statement [switch] (in conjunction with mousePressed and keyPressed
‣ Switch statement with if()
For Loop [for]
Defining i
for iterations
Defining the maximum value for i
Value added to i
after each iteration
‣ i++
for regular increments of 1
‣ i+=
for set value of increments
‣ if(i % 2)
for every other element
for (let i = 0; i < 10; i++) {
console.log(i);
}
Sine function [sin]
Multiply the wave, changing min/max
Set the speed of the wave
Shift the wave with an offset value
amplitude * sin(frequency * i) + offset
‣ Open and duplicate each of the code listed on the right.
‣ Experiment with it. How else could you transform the outcome?
‣ Is there anything you do not recognize? Variables or functions? Search on the p5.js reference to understand more.
Experiment with already created code
Experiment with already created code
Some questions to think about:
‣ What are the expansive disciplines that Galanter defines as part of GenArt?
‣ What is his view on autonomy or rule-based processes in GenArt?
‣ How does he modify or update his previous definition of Generative art from 2003?
By Philip Galanter
Some questions to think about:
‣ What are the expansive disciplines that Galanter defines as part of GenArt?
‣ What is his view on autonomy or rule-based processes in GenArt?
‣ How does he modify or update his previous definition of Generative art from 2003?
By Philip Galanter
2017
2017
2020
the ability to learn, understand, and make judgments or have opinions that are based on reason
1 : the ability to learn or understand or to deal with new or trying situations.
2 : the ability to apply knowledge to manipulate one's environment or to think abstractly as measured by objective criteria (such as tests)
It was not until in 1997 artist Eduardo KAC coined the term “bio art” in his performance work, Time Capsule, that theorists and critics started to use it to refer to art practices in which artists work with “live tissues, bacteria, living organisms, and life processes.”
In the book, Signs of Life: Bio Art and Beyond, KAC explained:
Bio art is a new direction in contemporary art that manipulates the processes of life. Invariably, bio art employs one or more of the following approaches:
(1) The coaching of biomaterials into specific inert shapes or behaviors;
(2) the unusual or subversive use of biotech tools and processes;
(3) the invention or transformation of living organisms with or without social or environmental integration
1999
This gene was created by translating a sentence from the biblical book of Genesis into Morse Code, and converting the Morse Code into DNA base pairs according to a conversion principle specially developed for this work. The sentence reads: "Let man have dominion over the fish of the sea, and over the fowl of the air, and over every living thing that moves upon the earth."
a media installation that uses DNA samples to create emergent representational images.
2012
a crystal radio system that uses a protein derived from marine sponges to create an electrical circuit capable of receiving AM radio transmissions
2010
Scientists such as Haldane and Oparin in the 1920s and ‘30s proposed that life evolved over great periods of time through a series of stages that produced first simple organic molecules, then more complex ones, then self-catalytic ones, and finally organized modules from which the first cells could emerge.
After exploring outward evenly, the slime mold decides to head toward the object of higher mass and wider mass distribution.
“Cognition is all around you. It really is everywhere,” says Levin. “And really, it’s not just for furry, brainy things.”
2019
2019
A molecular performance in which plant embryos are grown in artificial wombs in lieu of seeds. Baby plants are nourished with hormones extracted from the artist’s urine. Thus plant-human hybrids (phytopolutans) are bred
2015-2016
Bioprinted scaffold that disintegrates over time, with the intention of human stemcells seeded onto the design.
2015-2016
2008
Since 2008 Heather Barnett has been working with the true slime mould, Physarum polycephalum, observing and influencing its growth patterns, navigational abilities and seemingly human behaviours. Used as a model organism in diverse scientific studies, the single cell organism is attributed with a primitive form of intelligence, problem solving skills and the ability to anticipate events...
...The organism is a nomadic information system. As it creeps across its terrain it makes continuous micro-decisions about surrounding atmospheric conditions and resource distribution. With no brain or sensory organs, this amorphous cellular mass computes the complexities of its environment through chemical signalling. It is a highly adaptive biological barometer.
2021
The artist laces petri dishes with various bacterias and other organisms before placing extra elements like sugars, and sprinkles in the container.
2010
2011
As part of the installation a fully functioning heart perfusion system is used to reanimate to a beating state a pair of fresh pig hearts during a live performance.
2016
Radical Love is an homage and exploration of gender identity stereotypes in forensic DNA phenotyping. The full color life-sized 3d printed portraits of Chelsea Manning were generated from analyses of her DNA, extracted from cheek swabs and hair clippings sent to the artist from Chelsea through the mail while she was in prison.
‣ Read the brief [link]
‣ Present a deep dive of one or two artworks by an artist from the list.
‣ Outline the generative concept of the work, artistic process and technology involved.
‣ At the end, close off by stating how it interests you.
Preparing for your presentations (Sept 22)
‣ Select an artist to present on.
‣ Inform Jo your chosen artist by the end of class or via email by the end of the week.
‣ Start preparing your presentations for September 22 (Week 7)
Preparing for your presentations
‣ Select an artist to present on.
‣ Inform Jo your chosen artist by the end of class or via email by the end of the week.
‣ Start preparing your presentations for September 22 (Week 7)
Preparing for your presentations
Unlike Galatea, whose “realism became reality supernaturally,” Talos was not merely created “by magic spells or divine fiat,” writes Mayor. He was said to be engineered by Hephaestus, or rather “made, not born,” in a process the ancients “might have called biotechne, from bios ‘life’ and techne, ‘crafted through art or science.’
Talos was depicted in myth as a machine programmed to act human though never capable of achieving regular human life—what one might call a robot today.
Artificial life has been a topic of discussion long before the advent of cloning. Greek legends, such as Cadmus’ dragon’s teeth soldiers and Pygmalion’s living statue, are just some of the earlier examples of this concept. During the Renaissance Period, the homunculus, an artificial human, came to the fore in alchemist’s writings. The Swiss physician/alchemist Paracelsus (1493/1494–1541 CE) contributed to the rise in prominence of the being.
The narrative of Victor Frankenstein's relentless pursuit of creating life, only to be haunted by the unforeseen horrors of his creation, has resonated across generations. This tale of hubris, moral dilemmas, and the intricate relationships between creator and creation continues to transcend time, finding a striking resonance in contemporary discussions on AI and its potential implications. The research article endeavors to delve into the parallels between AI and "Frankenstein," unraveling the profound ethical dilemmas faced by AI developers, policymakers, and society at large.
I propose to consider the question, ' Can machines think ? ' ... The new form of the problem can be described in terms of a game which we call the 'imitation game '. The new form of the problem can be described in terms of a game which we call the 'imitation game '. It is played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart from the other two. The object of the game for the interrogator is to determine which of the other two is the man and which is the woman... We now ask the question, ' What will happen when a machine takes the part of A in this game ? '
artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.
A dataset in machine learning and artificial intelligence refers to a collection of data that is used to train and test algorithms and models. These datasets are crucial to the development and success of machine learning and AI systems, as they provide the necessary input and output data for the algorithms to learn from.
In AI, latent space can be defined as a multidimensional vector space that represents the learned characteristics of a set of data. This abstract space encapsulates the essential features and attributes of the input data, fostering the development of efficient AI models.
2013
2013
2017
2017
2024
2019/2022
2019/2022
2019/2022
2023
By the end of 2025, De Vries-Gao estimates, energy consumption by AI systems could approach up to 49% of total datacentre power consumption, again excluding crypto mining. AI consumption could reach 23 gigawatts (GW), the research estimates, twice the total energy consumption of the Netherlands.
Some questions to think about:
‣ What is a topic in AI in Art that interests you? Share it with the overall group afterwards. Prompt us with a question.
‣ What is your stance on AI Art? Is it "real" art? Why or why not?
‣ What are some precautions we need to make when using AI in Art?
Review today's lecture on artificial intelligence in art, and reflect in groups
‣ Pick a movie of your choosing. It may be anything from live action to animated.
‣ Look up (3) still shots from this movie
‣ Write (1) prompts for each of them, and generate images from Text to Image in Runway ML.
Using Runway ML's tools to create images
Using Runway ML's tools to create images
Using Runway ML's tools to create images
Using Runway ML's tools to create images
Using Runway ML's tools to create images
Objects (Shape? Material? Orientation? Action?)
Landscape (Foreground / Background)
Atmosphere (Dusty? Foggy? Clear?)
Color grading (Monochromatic? Low or high saturation?)
Example image prompt
One huge floating spaceship in the distance hovering above a vast expanse of desert. Void of all life except for three figures floating downwards where there are 7 more figures on the ground. The air is orange and dusty. The scene is dark, moody and made of shades of orange.
Example image prompt
‣ Save your generated images or use frame as input for video.
‣ Generate videos with each of these images. Use your imagination. Describe your shot before you generate the video.
Using Runway ML's tools to create a short video
‣ Some directions you can take with your video:
‣ A faithful recreation.
‣ Starts as a faithful recreation, but develops into something else
‣ A completely different rendition
‣ Image generations are altered,
video generations are experimental
Using Runway ML's tools to create a short video
‣ Tips:
‣ Stylistically, do all the video clips
match? Do they have to?
‣ How do they tell a story, if any?
‣ What is the intent of the entire video,
if any?
Using Runway ML's tools to create a short video
Don't forget about the various other tools
‣ Use a video editor to edit the video clips together. You may use any you wish.
‣ Here are some free ones:
Veed / Adobe Express / Capcut
‣ Once completed, upload it onto our class
Edit the videos together into one clip
‣ If you haven't informed Jo of the artist you have selected please do so ASAP.
‣ Keep working on your presentations for September 22 (Week 7)
Keep working on your presentations
Phase 1
Phase 2
Phase 3
Phase 5
1 minute to a few years to a lifetime
Conceptualization
Planning
Installation
Experimentation
Phase 4
Preparation
~ 1 week - 2 weeks
3-5 weeks
1-3 weeks
2-3 days
Creating an Artwork
A suggested guideline
PHASE 1
Conceptualization
Personal questions about NFTs
What is the value of digital artwork?
Why are people purchasing these images?
What is the point of these images?
Is the value of the artwork just about its potential value in the market?
PHASE 2
Planning
PHASE 3
Experimentation
1970
1970
PHASE 4
Preparation
PHASE 5
Installation
‣ Write 2 words from each category (see next slide) you're most interested in.
‣ One word per post-it note. Write your name on each one, at the bottom right.
‣ Place your post-it notes on the board
‣ As a group, cluster similar or related words together. Where do we see common ground? Which clusters feel exciting to you? Spot potential collaborators.
Let's find our overlaps and connections in interests
Characteristics of GenArt | Elements | Disciplines | Hard/software | Aesthetics |
---|---|---|---|---|
Randomly generated Unpredictable Using uncertainty Unrepeatable Unique Varying outcomes Autonomous systems Process-driven Geometric/abstract Procedural Systematic Artists set the rules Recipes Time, environment, human and computational processes Building relationships Made by rules, results change Interaction with viewers |
Datasets Iterations Algorithms Repetition Randomness Automation Controlled Chaos Interactivity Commentary Autonomous Algorithms Visuals Rules Time |
Game design Manual/analog Line art Robotics Visual Art Sonic art/Music Computer Science Engineering Math Sciences Graphic Design Architecture Painting Projection Mapping Installation Image-making Video Art |
Hardware Computers 3D Printers Digital Screens Projector Robots Cameras Mics Sensors Speakers Environment Nature Paint Traditional Media Cameras Software P5js TouchDesigner Unity |
Animated Minimalistic Humor Abstract Interactivity Natural Geometric Data-driven Painting Games, programming Point clouds Experimental Surrealism Organic Avatars |
‣ We will group up with different people each time (see next slide) to brainstorm three different project pitches.
‣ Brainstorm for 10 minutes.
‣ Give an elevator pitch to the class.
Let's group up and pitch our ideas to the class
Group | Part 1 | Part 2 | Part 3 |
---|---|---|---|
A | Avril Dora Jinyao Hayley |
Dora Rohin Jakub Samuel |
Jinyao Jaslyn Yumeng Samuel |
B | Garren Rohin Janis Jaslyn |
Avril Garren Yumeng Taehoon |
Dora Janis Wardah Taehoon |
C | Yumeng Jakub Natalie Wardah |
Jinyao Janis Natalie Caroline |
Avril Rohin Natalie Zhang Yin |
D | Taehoon Samuel Caroline Zhang Yin |
Hayley Jaslyn Wardah Zhang Yin |
Hayley Garren Jakub Caroline |
Projection Mapping Project
National Gallery Singapore has asked you to create a projection mapping project for their facade.
‣ What type of concept would you create?
‣ What kind of graphics would you make?
‣ What programs would you use?
You're allowed to use sketches, storyboarding, or slides
Screen-based Project
You're allowed to use sketches, storyboarding, or slides
You have a series of coding outcomes.
‣ How would you display them using screens?
‣ How are the screens laid out? What sizes are they?
Immersive Project
You're allowed to use sketches, storyboarding, or slides
You are provided an immersive room of all four walls.
‣ What will you immerse your viewers with?
‣ Is it interactive?
‣ What is the concept or story behind it?
Finish your presentations for 22 September. We will follow the order down below. Max. 8 mins for presentations, 2 mins for feedback. 10 min break between 8th and 9th presentation.
# | Name | Artist Chosen |
---|---|---|
1 | Janis | Rhizomatiks |
2 | Garren | Raven Kwok |
3 | Taehoon | Philip Beesley |
4 | Yin Zhang | 404.zero |
5 | Hayley | Sofia Crespo |
6 | Samuel | Manfred Mohr |
7 | Rohin | Refik Anadol |
8 | Dora | Nonotak |
# | Name | Artist Chosen |
---|---|---|
9 | Yumeng | Heather Barnett |
10 | Jinyao | |
11 | Natalie | Jenna Sutela |
12 | Wardah | Casey Reas |
13 | Jaslyn | David O'Reilly |
14 | Avril | Zach Lieberman |
15 | Caroline | E.A.T. |
16 | Jakub | Eduardo KAC |
Select your team members
We will follow the order down below. Max. 8 mins for presentations, 2 mins for feedback. 10 min break between 8th and 9th presentation.
# | Name | Artist Chosen |
---|---|---|
1 | Janis | Rhizomatiks |
2 | Garren | Raven Kwok |
3 | Taehoon | Philip Beesley |
4 | Yin Zhang | 404.zero |
5 | Hayley | Sofia Crespo |
6 | Samuel | Manfred Mohr |
7 | Rohin | Refik Anadol |
8 | Dora | Nonotak |
# | Name | Artist Chosen |
---|---|---|
9 | Yumeng | Heather Barnett |
10 | Jinyao | |
11 | Natalie | Jenna Sutela |
12 | Wardah | Casey Reas |
13 | Jaslyn | David O'Reilly |
14 | Avril | Zach Lieberman |
15 | Caroline | E.A.T. |
16 | Jakub | Eduardo KAC |
Select your team members
We continue with the presentations we haven't seen yet. Max. 8 mins for presentations, 1 min for feedback.
# | Name | Artist Chosen |
---|---|---|
1 | Dora | Nonotak |
2 | Jaslyn | David O'Reilly |
3 | Avril | Zach Lieberman |
4 | Caroline | E.A.T. |
5 | Jakub | Eduardo KAC |
Select your team members
These will be the groups you will be in for the last three weeks of class for your Final Group Project.
Group | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Jaslyn Garren Samuel Jakub (Kuba) |
Hayley Janis Jinyao Yumeng |
Avril Natalie Wardah Taehoon |
Dora Rohin Caroline Zhang Yin |
‣ Review the Final Project brief (NTU Learn).
‣ Next Monday is a holiday. We will instead be taking online consultations that week Tuesday - Friday to share your first project concepts.
‣ One person from each group select a meeting time on this form by 11:30 pm October 20th.
Start brainstorming project concepts with your groups