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PARAMETRIC METHODS FOR BEGINNERS [electronic resource] : architecture applications

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서명/저자사항PARAMETRIC METHODS FOR BEGINNERS [electronic resource]: architecture applications.
개인저자Toker, Umut. 
발행사항[S.l.]: ROUTLEDGE, 2022.
형태사항1 online resource
기타형태 저록Print version: 1032136006 9781032136004
ISBN9781000816501
1000816508
9781003230052
1003230059
1000816613
9781000816617



기타표준부호10.4324/9781003230052doi
서지주기Includes bibliographical references.
소장본주기Added to collection customer.56279.3
요약This book introduces architectural applications of parametric methods in design, drawing direct connections between each phase of the architectural design process with relevant parametric approaches. Readers will find applications of parametric methods with straightforward explanations of concepts, commands as well as applicable examples for each phase of the architectural design process. In addition to learning about the historical and conceptual background of parametric design, readers can use this book as a go-to source during their day-to-day design practice. Chapters are organized according to different phases of the architectural design process, such as site analysis, spatial organization, skin systems, and environmental performance analyses. Together, they deliver concepts, applications, and examples utilizing in-depth visual guides that explain commands, their outcomes, and their interrelationships. With over 350 images, this book includes examples from the author's own design studio and parametric design teaching in elective classes. Based on the Rhinoceros and Grasshopper platforms, this book is an accessible, yet in-depth, resource for architecture students and early professionals who are considering integrating parametric applications into their design processes.
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(통일서명)
Rhino (Computer file)
Rhino (Computer file) --fast
일반주제명Architectural design --Data processing.
Architecture --Mathematics.
Parameter estimation.
ARCHITECTURE / General
ARCHITECTURE / Design & Drafting
ARCHITECTURE / Methods & Materials
Architectural design --Data processing.
Architecture --Mathematics.
Parameter estimation.
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