BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//RISIS 2 - ECPv5.16.4.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:RISIS 2
X-ORIGINAL-URL:https://www.risis2.eu
X-WR-CALDESC:Events for RISIS 2
BEGIN:VTIMEZONE
TZID:Europe/Rome
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20220502T090000
DTEND;TZID=Europe/Rome:20220509T120000
DTSTAMP:20260501T062118
CREATED:20220404T154547Z
LAST-MODIFIED:20230320T114821Z
UID:9127-1651482000-1652097600@www.risis2.eu
SUMMARY:Methods in Action: "Interactive Assessment of Information Quality through Visual Analytics"
DESCRIPTION:The “Methods in Action Series” course “Interactive Assessment of Information Quality through Visual Analytics” is organized by  Department of Computer Control\, and Management Engineering Antonio Ruberti\, Sapienza University of Rome and will take place on online platform on 2 May\, 5 May and 9 May 2022. \nDownload ->  LEAFLET OF THE COURSE\nDownload ->  APPLICATION FORM\n  \nTopic and objective \n•Dealing with data and information quality\n\n•Presenting the most used techniques for assessing Information Quality of Performance Models\n\n•The components of the VAE Software include:\na.  Correlation Analysis\, \nb.  Map Analysis\, \nc.  Mono dimensional Analysis\, \nd.  Multidimensional Analysis\, \ne.  Autocorrelation Analysis\, \nf.  Feature Importance Analysis\, \ng.  Ratio Analysis\, \nh.  Anomalies checks\, \ni.  Consistency Checks \nj.  Time Series Forecasting. \n\n•Test the the Visual Analytics Environment (VAE) Software using real datasets from RISIS\nOnline course including: \n•On-line lectures presenting the main techniques of Information Quality implemented in the Visual Analytics Environment (VAE)\n•Group exercises where participants will experiment the different approaches available in the VAE on real datasets from RISIS\n•Plenary discussion on the exercises carried out\nCourse programme \n2nd May 2022  \n9:00–09:15 Introduction to the Course \n09:15–10:15 Lecture: A Visual Analytics Approach for the Assessment of Information Quality of Performance Models by Marco Angelini \n10:30–11:30 Visual Analytics Environment (VAE) Software \ntutorial by Luca Urban \n11:30–12:00 Task assignment \n  \n5th May 2022  \n13:00–15:00 interim discussion with groups lead by Marco Angelini and Luca Urban \n  \n9th May 2022  \n9:00–11:00 Group presentations \n11:00–12:00 Final discussion and assessment of the used Software \n  \n  \nOrganising Committee \nAlessandro Avenali \nCinzia Daraio \nGiorgio Matteucci \n  \nTechnical Support \nSimone Di Leo \nGiammarco Quaglia \n  \n  \nTarget audience: \nThe course aims at involving participants among the following categories: \n•Early career researchers\n•PhD students\n•People from the policy making world wishing to extend their analytical capabilities\n•Data scientists interested in knowing the potentialities of the Visual Analytics Environment (VAE) Software\n\n  \nCourse prerequisites: \nBasic requisite for admission will be: \n•Knowledge of basic principle of statistics\n•During the course the Visual Analytics Environment (VAE) Software will be introduced\, presented and let available to participants\n•Before the beginning of the course\, we will provide participants with basic materials and readings\n  \nCost and Fees:  \nNo registration fees to be paid by European Participants. \n  \nRegistration:  \nsend the application form and CV by email at \ndileo@diag.uniroma1.it \nTo ask the certificate of participation write an email at giammarco.quaglia@uniroma1.it \n  \nDeadline for request of participation: \n26th April 2022. \n  \nContact person: \ndileo@diag.uniroma1.it \n 
URL:https://www.risis2.eu/event/methods-in-action-interactive-assessment-of-information-quality-through-visual-analytics/
CATEGORIES:Methods in Action,RISIS Training
ATTACH;FMTTYPE=image/jpeg:https://www.risis2.eu/wp-content/uploads/2020/07/persone-donna-ufficio-seduto-3183169-e1594216546328.jpg
END:VEVENT
END:VCALENDAR