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DTSTART:20210328T010000
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DTSTART;TZID=Europe/Rome:20210322T080000
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DTSTAMP:20260317T094852
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LAST-MODIFIED:20210216T192248Z
UID:8248-1616400000-1617037200@www.risis2.eu
SUMMARY:Methodological course on Advanced Benchmarking Models and Techniques
DESCRIPTION:The Online Methodological Course on Advanced Benchmarking Models and Techniques\nis organized by DIAG – Sapienza University and will take place on SAPIENZA MEET platform 22-25-29 March 2021.\nDeadline for request of participation: 10th March 2021\nCourse main objectives:\nIntroduce the participants to the importance of Performance models and methods for research and higher education studies;\n \nProvide the participants with the basic knowledge for understanding and using quantitative performance techniques in their field;\n \nPropose an overview on the available tools for implementing performance and efficiency analysis techniques in their context of application;\n \nOffer tutorials on the main softwares that will be used during the course;\n \nEncourage the participants to explore the proposed tool with their own datasets; \nOffer the possibility to interact with the Course’s lecturers to have advice on their own specific needs. \n  \nTarget Audience:\nTarget audience for this course are researchers in research policy and higher education with a quantitative orientation\, which aim to extend their competence to Performance modeling and estimation techniques. Basic requisite for admission will be:\nKnowledge of basic principle of statistics and basic programming\nHave R and/or Matlab installed on your computer\nNo other prerequisites are requested.\n  \n\nCall for application and programme\nForm for submission\n  \nTechnical support and contact:\nSimone Di Leo – dileo@diag.uniroma1.it\nGiammarco Quaglia – giammarco.quaglia@uniroma1.it
URL:https://www.risis2.eu/event/methodological-course-on-advanced-benchmarking-models-and-techniques/
LOCATION:Meet Platform SAPIENZA
CATEGORIES:Methodological course
ATTACH;FMTTYPE=image/jpeg:https://www.risis2.eu/wp-content/uploads/2021/02/pexels-lukas-669610-scaled.jpg
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