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Computational Fabrication

Description

COURSE OBJECTIVES

3D printing revolutionizes the design process and accessibility to fabrication tools with enormous flexibility. This course equips the students with a set of concepts and computational methods for creating new techniques whose goal is optimizing and customizing models for fabrication.

 

COURSE DESCRIPTION
First, students are introduced to basic fabrication pipelines including modeling, data acquisition, and fabrication. Next, the course discusses the design process of highly predictive methods for 3D printing and optimizations used to automate the design process. After understanding all these tools, the course provides examples of state-of-the-art computational fabrication methods, eg, methods for fabricating objects with prescribed visual or mechanical properties, as well as novel design tools for customizable fabrication.

 

LEARNING METHODS
The course is a series of lectures interleaved with labs. During the assignments, students will implement different computational fabrication techniques, as well as get hands-on experience with 3D printers.

 

EXAMINATION INFORMATION
The final grade is a result of the grades from the assignments and the final exam.

 

REFERENCES

  • Umetani, Nobuyuki, Bernd Bickel, and Wojciech Matusik. "Computational tools for 3D printing." SIGGRAPH Courses 9 (2015): 1. (http://computational-fabrication.com/2015/)

People

 

Didyk P. K.

Course director

Additional information

Semester
Spring
Academic year
2020-2021
ECTS
6
Language
English
Education
Master of Science in Informatics, Elective course, Lecture, 1st year
Master of Science in Informatics, Elective course, Lecture, 2nd year