24.5345, Summer Schools: Postgraduate Course in Statistics for Humanities/ Copenhagen, Denmark

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LINGUIST List: Vol-24-5345. Thu Dec 19 2013. ISSN: 1069 - 4875.

Subject: 24.5345, Summer Schools: Postgraduate Course in Statistics for Humanities/ Copenhagen, Denmark

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Date: Thu, 19 Dec 2013 13:12:50
From: Albert Gatt [albert.gatt at um.edu.mt]
Subject: Postgraduate Course in Statistics for Humanities/ Copenhagen, Denmark

E-mail this message to a friend:
http://linguistlist.org/issues/emailmessage/verification.cfm?iss=24-5345.html&submissionid=24956624&topicid=16&msgnumber=1
 Postgraduate Course in Statistics for Humanities

Host Institution: University of Copenhagen
Coordinating Institution: University of Copenhagen
Website: https://phdcourses.dk/Course/21175

Dates: 03-Feb-2014 - 07-Feb-2014
Location: Copenhagen, Denmark

Focus: This course will focus on statistical techniques for use in experimental and data-driven analyses.

Minimum Education Level: MA

Description:
The Faculty of Humanities at the University of Copenhagen is offering a PhD course on Quantitative Methods for Humanistic Studies. The aim of the course is to introduce postgraduate students to statistical techniques for use in
experimental and data-driven analyses and to give them the opportunity to deploy their newly acquired skills to analyse data from their PhD project. Students will also be introduced to the R software package.

The course is open to PhD students from other universities. The maximum number of participants is 20. More information, including a registration form, is available at https://phdcourses.dk/Course/21175.

Linguistic Field(s): Computational Linguistics

Registration: 28-Nov-2013 to 08-Jan-2014

Contact Person: Albert Gatt
                Email: albert.gatt at um.edu.mt

Apply on the web: https://phdcourses.dk/Course/21175

Registration Instructions:
The participants will be asked to send a brief description of the project data they intend to work on during the course. The participants will have to bring their own laptops, and to download and install the R software prior to the course. Instructions on how to do this will be provided.



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