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''Termin:'' Donnerstag, 09.15 - 12:30 Uhr<br/>
''Termin:'' Donnerstag, 09.15 - 12:30 Uhr<br/>
''Ort:'' [[Marienstraße 7b]], Raum 204<br/>
''Ort:'' [[Marienstraße 7b]], Raum 204<br/>
''Erster Termin:'' '''t.b.a.'''
''Erster Termin:'' 16th April 2015


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* [[GMU:Introduction to Electronics]] (Darsha Hewitt)
* [[GMU:Introduction to Electronics]] (Darsha Hewitt)


== Application ==
''to be announced''
== Syllabus ==
''to be announced''


== Evaluation ==
== Evaluation ==
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== Links ==
== Links ==
=== A Drop of Paint ===
==== Droplets ====
===== Drops of Color =====
* [https://www.youtube.com/watch?v=K8Wx2PHIYGI Dancing Droplets]
* [https://www.youtube.com/watch?v=ZMsaH6SY4CY Stanford researchers solve the mystery of the dancing droplets]
* [https://www.youtube.com/watch?v=GTnVwyWaVQw Drip-Drop Flip-Flop]
* [http://arxiv.org/abs/1310.3847 Dancing Droplets Paper] on ArXiv
===== Drops of Metal =====
* [https://www.youtube.com/watch?v=ErCOTdIruoc Self-fuled liquid Metal Motor]
* [http://www.popsci.com/terminator-2-smart-liquid-metal-developed-tsinghua-university-researchers Terminator 2 - Smart Liquid Metal] on PopSci.
* [http://arxiv.org/abs/1402.1727 Liquid Metal Transformers] on ArXiv
==== Matter ====
* [https://www.youtube.com/watch?v=FnhOfbdalhU Capillarics]
* [http://fuckyeahfluiddynamics.tumblr.com/ Fuck Yeah, Fluid Dynamics!]
==== Sound ====
* [https://www.youtube.com/watch?v=TshCmZiTUT0 Sound controlled Droplets]
=== A Dish of Code ===
More Info[[GMU:Eval(nature)/A_Dish_of_Code| HERE]]


==== Learning Python ====
''to be done''
''to be done''
==== Data from Nature ====
We will sample our own surroundings,but there's also a lot of data on the internet, that we will use right away in our programming exercises.
[[Image:histology-db-sample.png|thumb|left|''Sample tissue from the [http://www.bu.edu/histology/m/i_thumbn.htm Histology DB] of Boston University ]][[Image:leaf-db-sample.png|thumb|left|''Sample from the [http://thedata.harvard.edu/dvn/dv/vitis_leaves Vitis Leaf Shape DB]'' ]]
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* [http://www.bu.edu/histology/m/i_thumbn.htm Educational Histology DB] –  Boston University
* [http://thedata.harvard.edu/dvn/dv/vitis_leaves Vitis Leaf Shape DB] – Harvard University
* [http://insideinsides.blogspot.de/ Inside Insides] – Animated Gif Flights through Fruits and Vegetables.
* [http://www.informed.unal.edu.co:8084/BiMed/ BiMed Histology DB] – 20.000+ images
* [http://www.marinespecies.org/foraminifera/photogallery.php?album=772 Foraminifera] – A Micro Fossil Database
* [http://www.africamuseum.be/collections/browsecollections/naturalsciences/biology/lepidoptera/browse Butterfly Database] at the Royal Museum for Central Africa
==== Citizen Science ====
* [[wikipedia:List_of_citizen_science_projects|List of Citizen Science Projects]] on Wikipedia
* [http://www.globeatnight.org/ Globe at Night]
* [http://wildtrack.org/citizen-science/a-global-challenge-fit-database/ Wildtrack FIT Database] (Footprint Identification Technology)
==== Drawing the Dots ====
* [http://tutorial.simplecv.org/en/latest/examples/image-math.html Image Math] with SimpleCV Long Term Exposure, Background Subtraction etc.
* Videos: [https://vimeo.com/15577736 Ameizing], [https://vimeo.com/6513657 598], [https://vimeo.com/120367391 Starlings decide to change Lines], [https://vimeo.com/78188069 Black Vultures], [https://vimeo.com/98976648 Wildwood Boy]
==== Tracking the Dots ====
Using SimpleCV and OpenCV to identify and track objects
* [https://www.youtube.com/watch?v=jihxqg3kr-g Tracking a Ball with SimpleCV]
* [https://stackoverflow.com/questions/14036944/how-do-i-locate-the-rabbit Follow the white Rabbit]
* [https://rdmilligan.wordpress.com/2015/01/12/opencv-contours-for-pac-man/ Tracking PacMan with OpenCV]
==== Connecting the Dots ====
Using NetworkX to identify relations between objects
[[Image:su-song-starmap.png|thumb|300px|left|''[[wikipedia:Su Song|Su Song's]] Star Map'']]
<br style="clear:both">
* [https://networkx.github.io/ NetworkX] – Python Library
* [https://networkx.github.io/documentation/development/reference/generated/networkx.algorithms.mst.minimum_spanning_tree.html Minimum Spanning Tree]
* [https://networkx.github.io/documentation/latest/examples/drawing/random_geometric_graph.html Random Geometric Graph]
==== Life, Coding ====
* [https://vimeo.com/24324458 Bird Sequencer]
* [http://yaxu.org/acid-sketching/ Acid Sketching]
==== Classifying Nature ====
[[Image:haeckel-age-of-man.png|thumb|300px|left|''[[wikipedia:Ernst Haeckel|Haeckel]]'s Paleontological Tree of Vertebrates'']]
<br style="clear:both">
* [[wikipedia:Systema_Naturae|Systema Naturae]] by Carl Linnaeus.
* [[wikipedia:Phylogenetic_tree|Phylogenetic tree]]
* [https://www.flickr.com/photos/quasimondo/16201271994/ 1259 Butterflies and Moths] by Mario Klingemann
* [https://peerj.com/articles/563/ Automatic identification of species with neural networks]
* [https://www.coursera.org/course/neuralnets Neural Networks for Machine Learning] by Geoffrey Hinton


== Literature ==
== Literature ==
=== Books ===
==== Programming Books ====
{{PythonBooks}}
{{PythonBooks/Eval(nature)}}
==== Online Books ====
''A couple of historic books''
* [http://darwin-online.org.uk/EditorialIntroductions/Freeman_ThePowerofMovementinPlants.html The Power of Movement in Plants], Charles Darwin (1880) – see also: [[wikipedia:Circumnutation|Circumnutation]]
* [http://digi.ub.uni-heidelberg.de/diglit/kerner1890/0001 Kleksographien] (1890) – see also: [[wikipedia:Rorschach_test#Inkblots Rohrschachtest]]
* [https://archive.org/details/histologyofmedic1916mans Histology of medicinal plants] (1916)
* [https://archive.org/details/frbergesschmette00berg Fr. Berge's Schmetterlingsbuch] (1910)
=== Papers ===
* [http://arxiv.org/abs/1310.3847 Dancing Droplets Paper]
* [http://arxiv.org/abs/1402.1727 Liquid Metal Transformers]
* [http://www.complex-systems.com/pdf/20-2-2.pdf Crab Computing Paper]
* [http://onlinelibrary.wiley.com/doi/10.1002/adma.201202980/abstract Droplet Computing Paper]


''to be done''
==Participants==
* [[/Andre Faupel|Andre]]
* [[/Francis/]]
* [[/Maria Degand|Maria]]
* [[/Steffen|Steffen]]
* [[/Rama/]]
* [[/Benjamin/]]
* [[/Meike/]]


[[Category:SS15]]
[[Category:SS15]]

Latest revision as of 18:13, 4 February 2019

eval(nature)

Projektmodul
Lehrpersonen: Ursula Damm, Darsha Hewitt, Martin Schneider
Bewertung: 18 ECTS, 16 SWS
Termin: Donnerstag, 09.15 - 12:30 Uhr
Ort: Marienstraße 7b, Raum 204
Erster Termin: 16th April 2015


Beschreibung

Rechnen und Algorithmen sind nicht nur eine Sache für den Computer. Viele natürliche Prozesse haben eine ihnen innewohnende Logik, der wir auf die Spur kommen möchten. In spielerischen Herangehensweisen entdecken wir wie Dinge und Wesen aus unserer direkten Umgebung sich verhalten, miteinander interagieren, Materie, Signale, Energie und Informationen austauschen.

Das Projektmodul umfasst zwei Hands-on Workshops, die die praktische Einführung in das Thema ermöglichen. A Dish of Code vermittelt solide Grundlagen der Programmierung. Wir werden Algorithmen in natürliche Anordnungen überführen aber auch Computer-Programme schreiben, die mit der Natur interagieren und diese auswerten. Da wir die Natur primär mit visuellen Sensoren evaluieren, erlernen wir ganz nebenbei Grundkenntnisse der digitalen Bildverarbeitung und Bilderkennung. Hier werden die folgenden Fragen gestellt:

  • Was passiert wenn wir natürliche Anordnungen als Code interpretieren und ausführen?
  • Wo bietet sich die Beschreibung der Natur mit der Sprache der Informatik an, wo stellt sie sich quer?
  • Wie verhalten sich hybride Systeme, welche Schnittstellen bieten sich an und welche Rolle spielt der Mensch innerhalb dieser Systeme?

A Drop of Paint zeigt am Beispiel von Wassertropfen auf Glas wie Natur sich selbst organisiert. Im Dialog mit einem Wissenschaftler beobachten wir Muster und Regeln des Experiments (Oberflächenspannung, Konzentration von löslichen Stoffen) und überführen diese in eine gestalterische Anwendung.

Im Projekt eval(nature) lernen wir historische und zeitgenössische Werke kennen, die sich mit diesem Themenfeld beschäftigen. Aus diesem Diskurs heraus entwickelt jeder Teilnehmer ein eigenes Projekt, das es zu Ende des Semesters zu präsentieren gilt.

Description

Algorithms and programs are not only working on computers. Many processes in nature follow an inherent logic that we want to unveil. In a playful setting we discover how things and beings in our immediate environment behave, interact and exchange matter, signals, energy and information.

The project module includes workshops titled "A Drop of Paint" and "A Dish of Code". In those two workshops hands-on skills in liquid and solid programming can be experienced. The first workshop (A Dish of Code) conveys solid foundations of programming. We will translate algorithms into natural arrangements, but also write computer programs, that interact with nature and evaluate it. Since we primarily evaluate nature using visual sensors, we will incidentally learn the foundations of image processing and recognition.

  • What happens if we interpret natural arrangements as code and execute them
  • Where does nature lend itself to a description in terms of computer science, and where does it bristle?
  • How do hybrid systems work, which interfaces are available and what's the role of humans within those systems?

The workshop A Drop of Paint shows how water is organizing itself on glass surfaces. In dialog with a scientist we observe patterns and rules of the experiment and develop an aesthetic application.

In the eval(nature) discourse we follow up on those questions and get to know historic and contemporary works that cover this domain.
Each student shall develop it's own project within the theme until the end of the semester.

Language

Un­ter­richts­spra­che ist Deutsch.

Eligible Participants

Undergraduates and graduates enrolled in the faculties of:

  • Media Art/Design and Media Architecture
  • Visual Communication
  • Product Design
  • Architecture

Recommended Courses

This is a list of courses offered by the GMU, that are recommened for students taking this module:


Evaluation

  • 10% Prüfungsleistung - schriftlich:
    Recherche zum gewählten Thema/ zur gewählten Arbeit in Kunst und Design, Medienwissenschaft oder einer anderen Disziplin, wobei ein Werk/Thema als Referenz individuell wählbar ist.
  • 10% Prüfungsleistung - mündlich:
    Vortrag über ein selbstgewähltes Thema in Verbindung mit dem praktischen Arbeitsvorhaben
  • 20% Mitarbeit im Plenum
  • 60% Prüfungsleistung - Präsentation eines Werkes

Links

A Drop of Paint

Droplets

Drops of Color
Drops of Metal

Matter

Sound

A Dish of Code

More Info HERE

Learning Python

to be done

Data from Nature

We will sample our own surroundings,but there's also a lot of data on the internet, that we will use right away in our programming exercises.

Sample tissue from the Histology DB of Boston University
Sample from the Vitis Leaf Shape DB


Citizen Science

Drawing the Dots

Tracking the Dots

Using SimpleCV and OpenCV to identify and track objects

Connecting the Dots

Using NetworkX to identify relations between objects

Su Song's Star Map


Life, Coding

Classifying Nature

Haeckel's Paleontological Tree of Vertebrates


Literature

Books

Programming Books

Online Books

A couple of historic books

Papers

Participants