Автор: Brian R. Johnson
Издательство: Routledge
Год: 2017
Страниц: 220
Язык: английский
Формат: pdf (conv), epub
Размер: 10.1 MB
Design Computing will help you understand the rapidly evolving relationship between computing, designers, and the many different environments they create or work in. The book introduces the topic of design computing, and covers the basics of hardware and software, so you don’t need to be an expert. Topics include the fundamentals of digital representation, programming and interfaces for design; the shifting landscape of opportunity and expectation in practice and pedagogy; placing sensors in buildings to measure performance; and the challenge of applying information effectively in design. The book also includes additional reading for those who wish to dig deeper into the subject. Design Computing will provide you with a greater awareness of the issues that permeate the field, opportunities for you to investigate, and perhaps motivation to push the boundaries.
But what exactly is design computing? I invited Brian, Erin Carraher, Ning Gu, JuHyun Lee, and Wassim Jabi to join me on the theme of design computing. As a group, we worked to define a shared understanding of the rapidly expanding content and the nebulous boundaries of the field. Its disciplinary content is characterized by a range of interests and issues which frequently overlap and cross-pollinate: simulation, visualization, and representation; human–computer interaction, user experience, and cognition; artificial intelligence; fabrication and prototyping; parametric design and scripting; data processing and intelligent modeling; smart environments, controls, and infrastructures; algorithmic thinking; mobile, ubiquitous, and pervasive computing; and cloud computing—just to name some of the most central. Clearly, design computing, which Brian argues exists at the intersection of the built environment, design, and computing, is a content-rich field about which much has been written but which (as of yet) shows no risk of exhausting itself as a robust field of inquiry. Its boundaries are indeed nebulous and characteristically difficult to define. At times, design computing shares formal methodologies with computer science and mathematics, seeming to succumb almost wholly to algorithmic approaches and the application of logical reasoning.
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