BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260807T205137Z UID:0749c7e9-71d4-445a-b75a-2c2258975f51 DTSTART:20220111T070000Z DTEND:20220113T150000Z DESCRIPTION:\nThis course will be delivered as an ONLINE COURSE for remote participation \n\nOverview - Visualizing your scientific results\n\nScien tific visualization is the art of utilizing human visual cognition as a me ans to glean understanding and insight into scientific data\, be it compu ted numerically or acquired by measurement. Together with data analysis\, it is a key component of today’s scientific discovery process\, in part icular in the context of computational sciences\, for all disciplines (el ectro-magnetics\, fluid dynamics\, structural mechanics\, etc.)\, and app lications as diverse as astrophysics\, climatology\, or engineering.\n\nPa raview is a tool to visualize large and huge scientific datasets collected or produced in research\, e.g. electromagnetics\, fluid dynamics\, struct ural mechanics\, astrophysics\, or climatology research. Once completed yo ur simulation\, visualization helps in understanding the results and in co mmunicating them to others.\n\nThe visualization toolkit (VTK) is an open- source\, C++ software library dedicated to data visualization\, image pro cessing\, and computer graphics. Also offering Python and Java interfaces\ , it supports a broad class of visualization techniques for a variety of data and attribute types. Used extensively by thousands of users worldwide \, it is the underlying visualization engine for ParaView\, also an open-s ource\, multi-platform\, application designed to visualize and analyze da ta on a broad set of platforms\, ranging from a single processor on a lap top to many thousands of cores on a high-performance computing cluster. Bo th VTK and ParaView has achieved global recognition in the scientific visu alization community over the past couple of decades. ParaView in particul ar has made major inroads into today’s scientific research\, as scientif ic dataset size and complexity have grown at a rapid pace and are continu ing to do so.\n\nCourse description\n\n\nThe goal of this three-day traini ng session is to provide a comprehensive introduction to (1) the fundament als of VTK and (2) scientific visualization and data analysis with ParaVie w and Python scripting.\n\nThe course will begin with a full day dedicated to a thorough exposition of the key VTK concepts\, focusing on those tha t are necessary to a better understanding of ParaView: in particular\, the toolkit’s underlying data and execution models. It will then continue with a hands-on presentation of the ParaView visualization application. A ll important features of the graphical user interface of ParaView will be demonstrated\, including data loading\, data processing\, parameter adjus tment\, and data interaction. The main visualization techniques such as c utting\, clipping\, contouring\, probing\, thresholding\, culling\, and “glyphing” will also be discussed and illustrated with multiple examp les. This course will also explain how to generate visualization and anal ysis data in the form of processed data\, rendered images\, and animations .\n\nThe course will be concluded with a half-day bringing everything toge ther by showing how ParaView can be extended and customized using the acq uired VTK knowledge and a little bit of Python scripting. Attendees shall expect an exciting\, interesting\, and challenging course. They are encou raged to communicate in advance any specific requests\, or topics of inte rest.\n\n\nPrerequisites and content level\n\nThis course\, taught by a co mputational scientist and developer with two decades’ worth of experienc e with both VTK and ParaView\, as a user\, developer\, and team leader\, is intended for an audience of computational as well as application scien tists\, engineers\, post-docs\, and students with a background or an inter est in numerical simulation.\n\nSome understanding of scientific computin g and/or modeling concepts (geometry\, meshes\, data attributes) is necess ary. Knowledge of statistics is not required but will be helpful\, and the Python 3 language will be used for parts of the course. Course will be u sing ParaView 5.8 and Python 3 versions. Please ensure that you have corre ct set up when starting the course.\n\n\nAgenda\n\nDay 1\, Tuesday January 11\n\n\n Part 1: Introduction (course background\, goals\, and overview )\n Part 2: The Visualization Toolkit (VTK) fundamentals: data model\, e xecution model\, and the rendering engine\n Part 3: VTK Python scripting \n\n\nDay 2\, Wednesday January 12\n\n\n Part 4: Overview of the ParaView architecture: client\, server\, proxies\n Part 5: The ParaView Client:  visualization pipeline\, data filtering\, views\, and representations\, data queries\, and selection)\n\n\nDay 3\, Thursday January 13\n\n\n Part 6: Extending ParaView (programmable filters\, VTK Python scripting\, Pa raView plugins)\n Part 7: Wrapping Up (summary\, open forum\, perspecti ves)\n\n\n\nLecturers\n\n\n\n\n\nDr. Philippe P. Pébaÿ\, Eredio\n\n\n\ n\n\n \n\nLanguage:  English\nPrice:           Free of charge (3 training days)\n\nREGISTRATION is OBLIGATORY since the details to acces s the online course will be provided to the registered and accepted attend ees only. If you have registered to this course and you are not able to at tend\, please CANCEL your registration in advance by sending an email to p atc@csc.fi\nhttps://events.prace-ri.eu/event/1281/ SUMMARY:[ONLINE] Scientific Visualization and Data Analysis with VTK and Pa raView @ CSC URL;VALUE=URI:https://events.prace-ri.eu/event/1281/ END:VEVENT END:VCALENDAR