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DTSTART;TZID=Asia/Dubai:20190620T113700
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DTSTAMP:20260506T094449
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SUMMARY:Doctoral Short Course “Statistics and Data Analysis”\, July 9 and 10\, ISU\, H104
DESCRIPTION:Doctoral Short Course “Statistics and Data Analysis”\, July 9 and 10\, ISU\, H104 \nDescription: \nThe course intends to give an introduction to several aspects of Data Science\, starting from data visualization\, continuing with established statistical methods (univariate analysis\, multivariable methods)\, and ending up with machine learning and data mining. For each subject we will introduce the main concepts\, we will show how to perform some example analyses using different tools\, and we will provide links to additional study material. \nThe course consists of four theme-specific individual sessions that are independent of each other. It is therefore possible to register for and attend only selected session(s). \nAt the end of the short course the students should (a) know the very basics of these subjects\, (b) be able to perform simple analyses on their own\, and (c) be able to deepen their knowledge using the additional material if they so desire. \nContents: \n1) Data Visualization → July 9\, 10:00 – 13:00\, H104 A Presentation of the course and its objectives (15 minutes) B Working with tabular data: Excel and Comma Separate Values (CSV) files (15 minutes) C First example: scatter plots (1 hour 30 minutes) – Introduction to the problem: differential expression in genes (biology) – From tabular data to graphs: how to arrange multiple information in the same plot – Building the scatterplot D Second example: line plots (30 minutes) – Introduction to the problem: Apples sales over the years (retail) – Building the line plot E Software tools\, additional material\, questions (30 minutes) \n2) Univariate Analysis → July 9\, 14:00 – 17:00\, H104 A Statistical significance (30 minutes) B T-test: assumptions and meaning (30 minutes) C Example: single t-test (30 minutes) D Multiple t-test and p-value correction (1 hour) – Extending the previous example to multiple tests – The problem with multiple testing: false positive results – The Bonferroni correction – False Discovery Rate E Software tools\, additional material\, questions (30 minutes) \n3) Multivariate Analysis  \n→ July 10\, 10:00 – 13:00\, H104 A Linear regression\, univariate (30 minutes) B Linear regression\, multivariate (30 minutes) C Example analysis (30 minutes) D Extension: generalized linear models (1 hour) – Logistic regression E Software tools\, additional material\, questions (30 minutes) \n4) Machine Learning and Data Mining → July 10\, 14:00 – 17:00\, H104 A Introduction: from statistics to machine learning and AI (30 minutes) B First example of machine learning method: decision trees (45 minutes) C Second example of machine learning method: neural networks (45 minutes) D Hands on: the Iris and Digit datasets E Software tools\, additional material\, questions (30 minutes) \nInstructors: Prof. Vincenzo Lagani (Bioinformatics\, School of Natural Sciences and Medicine)\, Prof. Erekle Magradze (Computer Engineering\, School of Business\, Technology and Education) \nLanguage of Instruction: English \nDates and Times: Session 1: July 9\, 10:00-13:00 Session 2: July 9\, 14:00-17:00 Session 3: July 10\, 10:00-13:00 Session 4: July 10\, 14:00-17:00 \nVenue: Ilia State University\, H-Building\, Room H104 \nRegistration: The maximum number of attendees per session is 18. Therefore\, prior registration is required and the principle of priority applies. The registration deadline is July 5\, 2019\, 18:00. For registration please use the registration online form: https://forms.gle/ucbovssJHprCznKp6 \n\n			\n				\n			\n			\n				\n			\n		\n\n[wpai_display_imported_files_here]
URL:https://events.iliauni.edu.ge/event/doctoral-short-course-statistics-and-data-analysis-july-9-and-10-isu-h104/
CATEGORIES:Events
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DTSTART;TZID=Asia/Dubai:20190620T183000
DTEND;TZID=Asia/Dubai:20190620T183000
DTSTAMP:20260506T094449
CREATED:20190612T093001Z
LAST-MODIFIED:20240202T092517Z
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SUMMARY:Public Lecture Mediating the Past: Historical Dialogue\, Justice\, and Reconciliation by Prof. Alexander Karn\, Colgate University\, United States
DESCRIPTION:In cooperation with the Ilia State University\, the University of Bern is organizing a public lecture “Mediating the Past: Historical Dialogue\, Justice\, and Reconciliation” in the framework of the project “Remembering the Past in the Conflicts of the Present: Civil Society and Contested Histories in the Post-Soviet Space (1991 – 2017)” funded by the Swiss National Science Foundation. \nAlexander Karn is an associate professor of history at Colgate University\, USA. He is the author of Amending the Past: Europe’s Holocaust Commissions and the Right to History (University of Wisconsin Press\, 2009) and co-editor (with Elazar Barkan) of Taking Wrongs Seriously: Apologies and Reconciliation (Stanford University Press\, 2006). His doctoral dissertation examined property restitution and national identity in post-communist Eastern Europe. His research interests include politics of history\, historical commissions\, and historical reconciliation. \nThe event is moderated by Prof. Carmen Scheide\, University of Bern\, Switzerland. \nThe discussion will be held in English. \nThe event will be followed by a reception. Attendance is free. \n\n\nDate:  Thursday\, 20 June 2019 \nTime: 18:30-20:00 \nVenue: Room G106\, (G. Tsereteli str. N1) Ilia State University. \n\n\n			\n				\n			\n			\n				\n			\n		\n\n[wpai_display_imported_files_here]
URL:https://events.iliauni.edu.ge/event/public-lecture-mediating-the-past-historical-dialogue-justice-and-reconciliation-by-prof-alexander-karn-colgate-university-united-states/
CATEGORIES:Events
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