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Computational Fabrication
Provider: Faculty of Science

Activity no.: 5194-24-02-01 
Enrollment deadline: 16/06/2024
Date and time03.07.2024, at: 09:00 - 06.07.2024, at: 16:00
Regular seats30
ECTS credits2.00
Contact personAmanda Lybke Rasmussen    E-mail address: amra@di.ku.dk
Enrolment Handling/Course OrganiserAmanda Lybke Rasmussen    E-mail address: amra@di.ku.dk
Teaching languageEnglish
Exam formCourse participation ; Writting assignment
Exam detailsThe course will be completed if students participate in the course and hand in a paper three weeks after the course. The paper will cover a discussion of selected papers on computational fabrication in relation to the student’s own research area, as well as an analysis and reflection on the students’ own projects, vis a vis the readings and discussions at the course.
Grading scalePassed / Not passed
Course workload
Course workload categoryHours
Preparation20.00
Class Instruction5.00
Lectures15.00
Practical exercises10.00
Theoretical exercises5.00
Sum55.00
Enrolment guidelines
This course provides an introduction to current research on and through computational fabrication (”fab”), highlighting major areas of inquiry like properties and materials, user input and output, sustainability, and simulation. The course will cover technical as well as social topics and applications of fab.
First, we will cover the technical foundations of fab research: the machines, materials, simulation, and optimization techniques that enable our work to happen. This will be covered through both lecture and hands-on exploration of fabricated objects. We will move on to discussing various technical opportunities in computational fabrication through the lenses of different fields (computer science, mathematics, and mechanical engineering), supported by visiting professors’ lectures. We will close with a discussion of the social and societal implications of computational fabrication. During the course week, we will also go on-site to places in Copenhagen that do work related to fabrication. Throughout the course, students will actively explore presented ideas and prototypes along with their limitations, discuss their own projects with course mentors, and relate the course lectures to their own dissertation projects. They will submit a paper three weeks after the course on this last topic.

Enrolment application:
To apply for enrolment, please send a motivational letter and a PDF poster about your work to Valkyrie Savage (vasa@di.ku.dk).

Formal requirements
A relevant master’s degree and/or enrollment in a relevant PhD programme

Learning outcome
Knowledge of:
• technological foundations and history of computational fabrication research;
• classic and current research in computational fabrication across multiple fields;
• technological opportunities and evaluation strategies for computational fabrication research across fields;
• societal opportunities and human evaluation strategies for computational fabrication research.

Skills in:
• discussing and understanding the latest research in computational fabrication;
• relating to and building off of the latest research in computational fabrication relative to their own research work;
• selecting appropriate computational fabrication technologies to achieve particular research goals.

Competencies in:
• developing and selecting novel computational fabrication research ideas based on an understanding of classic and contemporary research; and
• analyzing uses of computational fabrication in various fields to describe the pros and cons of the choices made.

Target group
PhD students in Human-Computer Interaction, Graphics, Architecture, Mechanical Engineering, Mathematics, Robotics, Materials Science, and related areas. PhD students attending the ACM Symposium on Computational Fabrication (which occurs directly after the course is scheduled).

Teaching and learning methods
The course will be organized around four points (technical foundations, interaction challenges, area-specific challenges, sustainability), with a mixture of lecture and hands-on activity for each. There will also be specific opportunities to work with the course material relative to the students’ dissertations, in small groups and with international mentors (including the visiting lecturers).

Lecturers

Lecturers:
Daniel Ashbrook, DIKU
Valkyrie Savage, DIKU

Guest lecturers:
Jeremy Faludi, TU Delft
Bernd Bickel, IST Austria
Laura Devendorf, CU Boulder

Mentors:
Wendy Ju (Cornell Tech)
Pernille Bjørn (University of Copenhagen)
Jonas Martinez (Inria)
Stefanie Mueller (MIT)
Michael Wessely (Aarhus University)

Remarks
Course capacity: 30 seats. 20% from KU SCIENCE and 80% from elsewhere.

Research Area: Computer science, architecture, mathematics, mechanical engineering, robotics, and materials science (domains which use and research computational fabrication)

Type of Assessment:
The course will be completed if students participate in the course and hand in a paper three weeks after the course. The paper will cover a discussion of selected papers on computational fabrication in relation to the student’s own research area, as well as an analysis and reflection on the students’ own projects, vis a vis the readings and discussions at the course.

Course fee, no-show fee, and cancellation:
The course fee is 1000DKK (or 130 euro). The fee does not cover accommodation or travel. The fee is refunded if the participation is cancelled one month or more before the event; if cancelled later, nothing is refunded.
PhD students enrolled in Danish PhD programmes are exempt from the fee.

Collaborating departments/external partners:
Aarhus University (15%) Università della Svizzera italiana (15%) INRIA (15%)

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