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== Description == | == Description == | ||
Algorithms and programs are not ony 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 interact and exchange matter, signals, energy and information. | 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. | ||
* What happens if we interpret natural arrangements as code and execute them | * 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? | * 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? | * How do hybrid systems work, which interfaces are available and what's the role of humans within those systems? | ||
These questions are adressed in a hands-on workshop | |||
(a dish of code) which 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 incidentially learn the foundations of image processing and recognition. | |||
In the ''eval(nature)'' discourse we follow up on those questions and get to know historic and contemporary works that cover this domain.<br> | In the ''eval(nature)'' discourse we follow up on those questions and get to know historic and contemporary works that cover this domain.<br> | ||
A fundamental part of the module are the workshops titled ''"A Drop of Paint"'' and ''"A Dish of Code"'' | A fundamental part of the module are the workshops titled ''"A Drop of Paint"'' and ''"A Dish of Code"'' | ||
In those two workshops hands-on skills in liquid and solid programming will be taught. | In those two workshops hands-on skills in liquid and solid programming will be taught. | ||
== Beschreibung == | == Beschreibung == | ||
Revision as of 06:03, 9 February 2015
eval(nature)
Evaluating Nature as Code
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: t.b.a.
Description
Algorithms and programs are not ony 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.
- 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?
These questions are adressed in a hands-on workshop (a dish of code) which 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 incidentially learn the foundations of image processing and recognition.
In the eval(nature) discourse we follow up on those questions and get to know historic and contemporary works that cover this domain.
A fundamental part of the module are the workshops titled "A Drop of Paint" and "A Dish of Code"
In those two workshops hands-on skills in liquid and solid programming will be taught.
Beschreibung
Die Ausführung von Algorithmen und Programmen ist keineswegs auf Silizium-Chips beschränkt. 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 miteinander interagieren und Materie, Signale, Energie und Informationen austauschen.
- 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?
Im eval(nature) Diskurs gegen wir diesen Fragen nach und lernen historische und zeitgenössische Werke kennen, die sich mit diesem Themenfeld beschäftigen.
Wesentlicher Bestandteil des Moduls sind die Workshops mit den Titeln "A Drop of Paint" und "A Dish of Code".
In diesen beiden Workshops werden hands-on Fähigkeiten der flüssigen und handfesten Programmierung vermittelt.
A Drop of Paint zeigt am Beispiel von Wassertropfen auf Glas künstlerische Forschung zum Anfassen. Im Dialog mit einem Wissenschaftler beobachten wir Muster und Regeln des Experiments (Oberflächenspannung, Konzentration von löslichen Stoffen) und überführen diese in eine gestalterische Anwendung.
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 Bildverarbeitung und Bilderkennung.
Language
- The Fachmodul (master course) be in English.
- The Werkmodul (bachelor course) will be in German.
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:
- GMU:Bots n Plots (Martin Schneider)
- GMU:Introduction to Electronics (Darsha Hewitt)
Application
to be announced
Syllabus
to be announced
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
to be done
Literature
to be done