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X-WR-CALNAME:Decode Fab Lab
X-ORIGINAL-URL:https://demo2.wemakeweb.gr
X-WR-CALDESC:Events for Decode Fab Lab
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DTSTART:20150329T010000
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DTSTART:20151025T010000
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DTSTART;TZID=Europe/Athens:20151110T080000
DTEND;TZID=Europe/Athens:20151110T170000
DTSTAMP:20260712T070242
CREATED:20160304T204259Z
LAST-MODIFIED:20171220T175340Z
UID:24674-1447142400-1447174800@demo2.wemakeweb.gr
SUMMARY:A Bridge Too Far GH Level I
DESCRIPTION:A Bridge Too Far GH Level I\n\nCourse Outline\nThis course is for anyone new\, or nearly new\, to Grasshopper3D. It is one of the introductory level I courses to GH with a specialized orientation towards a pedestrian bridge structure and the possibility of integrating a constantly adapting structural system within the design process. \nAll trainees receive an Official McNeel Certificate on completion and all courses are delivered by the official Rhino trainers in Greece. \nThe course is delivered within an air-conditioned CAD suite with a maximum number of ten trainees. \nThe duration of every course is 24 hours. The course is intensive and spans three consecutive days (10:00 am to 6:00 pm). \nWhatever your market\, if you want to get off to the best possible start\, develop a good understanding\nof best practice approaches to parametric modelling Grasshopper3d\, this is the course for you. \nDeCode Lab have successfully taken over one hundred trainees through this course from Jewellers\nto Architects\, Product Designers to Naval Designers. \nIn this comprehensive class you’ll learn to create and control parametrically an high rise building development\, while being able to provide constantly data sets of information in a matter of seconds.\nThis fast-moving class covers most of Grasshopper’s functionality\, including some of the most trickiest and hidden assets. \nStructure\nIn this class\, you will systematically move through the user interface\, command access\, creation and\ncontrol of Grasshopper3d associative modelling modules. Information will be presented at an accelerated pace. \nExpected Outcomes\nAfter this course the student is expected to be able to: \n\nMove comfortably around the Grasshopper UI.\nUnderstand Grasshopper3D data structures\nCreate and control simple parametric models\nUse associative modelling for architectural projects.\nProduce simple visualization within the platform.\n\nTarget Audience\nThis course is for the design professional who wants to efficiently learn the concepts and features of\nthe Grasshopper3d software at an accelerated pace in an instructor-led environment. \nPre-requisites\nRequires Windows skills and desire to model. Previous drafting and modelling experience helpful\nbut not required. \nGrasshopper3d is free to download. Addition free add-on will be provided by the instructors. \nIf you would like an evaluation version please contact\nus at info@formdecode.com. \nLots of patiens and positive thinking is always a must. Learning is fun after all! \n  \nCurriculum\nIn DeCode we believe effective training needs an intriguing goal instead of generic exercises. All the Grasshopper level 1 teaching material will be taught by modeling a pedestrian bridge design\, step by step. In this way each student will be guided through the experience of completing a challenging and interesting design project\, and managing to use commands in synergy through various techniques\, just like a professional would. \n\nGet acquainted with the GH UI.\n\nData control and visualization \n  \n\nUnderstand Grasshopper Data structures\nMake use of the most important GH components\n\nParametric Nurbs modelling techniques \n  \n\nPanellization of Rhino3D Nurb Surfaces\n\nParametric modelling\, data organisation and digital fabrication \n  \n\nAssociative modelling of a pedestrian bridge.\nParametric  modelling for pedestrian bridge elements.\nCreate visuals and export text and information in excel sheets
URL:https://demo2.wemakeweb.gr/workshop/a-bridge-too-far-gh-level-i/
LOCATION:Decode Office\, Vasilissis Sofias 129\, Athens\, Attiki\, 11521\, Greece
CATEGORIES:Grasshopper3D,Rhino3D
ATTACH;FMTTYPE=image/jpeg:https://demo2.wemakeweb.gr/wp-content/uploads/2014/12/bigdeweb.jpg
ORGANIZER;CN="Marios%20Tsiliakos":MAILTO:marios@decodefablab.com
GEO:37.984771;23.759414
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