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</o:shapelayout></xml><![endif]--></head><body lang=EL link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoNormal><span lang=EN-US><img width=576 height=324 style='width:6.0in;height:3.375in' id="_x0395__x03b9__x03ba__x03cc__x03bd__x03b1__x0020_1" src="cid:image001.png@01D92731.F6529BB0"></span><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Nvidia DLI and University Debrecen organize an online AIDA short course on “Fundamentals of Accelerated Data Science with RAPIDS” offered through the International Artificial Intelligence Doctoral Academy (AIDA). <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>The purpose of this course is to overview the foundations and the current state of the art in GPU-accelerated data science in python<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>This short course will cover the following topics:<o:p></o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoListParagraphCxSpFirst style='margin-left:0in;mso-add-space:auto;mso-list:l0 level1 lfo3'><span lang=EN-US>GPU-Accelerated Data Manipulation (120 mins), <o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;mso-list:l0 level1 lfo3'><span lang=EN-US>GPU-Accelerated Machine Learning (120), <o:p></o:p></span></li><li class=MsoListParagraphCxSpLast style='margin-left:0in;mso-add-space:auto;mso-list:l0 level1 lfo3'><span lang=EN-US>Project: Data Analysis to Save the UK (120 mins)<o:p></o:p></span></li></ul><p class=MsoNormal><span lang=EN-US>The targeted applications will be in graph-based data analytics.<o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US> </span></b><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>LECTURER: <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>- Dr. Laszlo Kovacs, Assistant Professor<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Nvidia Deep Learning Institute Certified Instructor and Ambassador, email: <a href="mailto:kovacs.laszlo@inf.unideb.hu">kovacs.laszlo@inf.unideb.hu</a><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>HOST INSTITUTION/ORGANIZER: Nvidia Deep Learning Institute, Faculty of Informatics, University of Debrecen, Hungary<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>REGISTRATION: Free of charge for university students and staff<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><a name="_Hlk124428708"><span lang=EN-US>WHEN: January 19, 2022 from 09:00 to 17:00 CET<o:p></o:p></span></a></p><p class=MsoNormal><span style='mso-bookmark:_Hlk124428708'><span lang=EN-US><o:p> </o:p></span></span></p><p class=MsoNormal><span style='mso-bookmark:_Hlk124428708'><span lang=EN-US>WHERE: Online<o:p></o:p></span></span></p><span style='mso-bookmark:_Hlk124428708'></span><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>HOW TO REGISTER and ENROLL: <o:p></o:p></span></p><p class=MsoListParagraphCxSpFirst style='margin-left:0in;mso-add-space:auto'><span lang=EN-US>Both AIDA and non-AIDA students are encouraged to participate in this short course.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US>If you are an AIDA Student* already, please: <o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US>Step (a) register in the course by following the </span><b><span lang=EN-US style='color:black;mso-fareast-language:IT'>Course Link: </span></b><span lang=EN-US><a href="https://inf.unideb.hu/en/nvidia-deep-learning-institute">Nvidia Deep Learning Institute | University of Debrecen (unideb.hu)</a> AND <o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US>Step (b) enroll in the same course in the AIDA system using the enrollment button in the AIDA course page <a href="https://www.i-aida.org/course/nvidia-dli-fundamentals-of-accelerated-data-science-with-rapids/">Nvidia DLI - Fundamentals of Accelerated Data Science with RAPIDS - AIDA - AI Doctoral Academy (i-aida.org)</a>, so that this course enter your AIDA Course Attendance Certificate. <o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US>If you are not an AIDA Student do only step (a). <o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoListParagraphCxSpLast style='margin-left:0in;mso-add-space:auto;text-align:justify'><span lang=EN-US>*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: <a href="https://www.i-aida.org/about/members/">https://www.i-aida.org/about/members/</a>)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Dr. Laszlo Kovacs, Assistant Professor<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Nvidia Deep Learning Institute Certified Instructor and Ambassador<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Email <a href="mailto:kovacs.laszlo@inf.unideb.hu">kovacs.laszlo@inf.unideb.hu</a><o:p></o:p></span></p></div></body></html>