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DTSTAMP:20260705T141659Z
UID:41fde86c-0611-446d-a11a-c72888b5f42d
DTSTART:20210323T080000Z
DTEND:20210406T110000Z
DESCRIPTION:IMPORTANT INFORMATION: WAITING LIST\n\nIf the course gets fully
  booked\, no more registrations are accepted through this website. However
 \, you can be included in the waiting list: for that\, please send an emai
 l to training-research@surf.nl and you'll be informed when a place becomes
  available.\n\n[NOTE: this course consists of 3 online sessions spread ove
 r a period of 2 weeks. Please read the details below.]\n\nOverview\n\nWoul
 d you like to make 3D visualisations that are visually more attractive tha
 n what ParaView or VisIt can provide? Do you need an image for a grant app
 lication that needs to look spectacular? Would you like to create a cool a
 nimation of your simulation data? Then this course may be for you!\n\nThe 
 goal of this course is to provide you with hands-on knowledge to produce g
 reat images and basic animations from 3D scientific data. We will be using
  the open-source package Blender 2.8 (http://www.blender.org)\, which prov
 ides good basic functionality\, while also being usable for\nadvanced usag
 e and general editing of 3D data. It is also a lot of fun to work with (on
 ce you get used to its graphical interface).\n\nExample types of relevant 
 scientific data are 3D cell-based simulations\, 3D models from photogramme
 try\, (isosurfaces of) 3D medical scans\, molecular models and earth scien
 ces data. Note that we don't focus on information visualization of abstrac
 t data\, such as graphs (although you could convert those into a 3D model 
 first and then use them in Blender).\n\nWe like to encourage participants 
 to bring along the data they normally work with\, or a sample thereof\, an
 d would like to apply the course knowledge to.\n\nTopics covered:\n\n- Ble
 nder UI and workflow\, scene structure\n- Basic importing of data\n- Simpl
 e 3D mesh editing with modifiers\n- Basic animation\n- Rendering\, lightin
 g and materials\n\nCourse duration\n\nThe course will consist of 3 half-da
 y online sessions spread over the indicated two-week period (23rd of March
 \, 30th of March and 6th of April)\, beginning with an introductory webina
 r and two follow-up feedback sessions. During the course period you may wo
 rk on the assignments at your own pace. We provide a communication channel
  with the course teachers that you can use for questions and feedback duri
 ng the course. There are also several webinars were we discuss your projec
 ts and make sure you are able to make progress. Part of the course materia
 l\, like our YouTube videos and tutorials\, is available outside the cours
 e timetable.\n\nMore specific information on the course schedule will foll
 ow soon.\n\nYour own project and data\n\nTo get the most out of the course
  we would like you to take a dataset from your work that you want to use f
 or visualisation with Blender. This course will give you the skills to sta
 rt on your own project. During the interactive moments (webinars and chat 
 channel) our visualisation team will help you further with your specific p
 roject and challenges. So please collect some data you think would be grea
 t to make a 3D visualisation of. During the webinars we will expect input 
 from you also. We would like you to present your visualisation goals\, you
 r data and your first try at making a visualisation with Blender.\n\nMore 
 details about this course\n\nPlease visit the main web page of this course
  in the GitHub page of the visualization group at SURF:\n\nhttps://surfsar
 a-visualization.github.io/blendercourses/\nhttps://events.prace-ri.eu/even
 t/1177/
SUMMARY:[ONLINE] Introduction to Scientific Visualization with Blender: Dat
 a\, Lights\, Camera\, Action! @SURF
URL;VALUE=URI:https://events.prace-ri.eu/event/1177/
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