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Jost Gippert: Our Featured Linguist!

"Buenos dias", "buenas noches" -- this was the first words in a foreign language I heard in my life, as a three-year old boy growing up in developing post-war Western Germany, where the first gastarbeiters had arrived from Spain. Fascinated by the strange sounds, I tried to get to know some more languages, the only opportunity being TV courses of English and French -- there was no foreign language education for pre-teen school children in Germany yet in those days. Read more



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Summer School Announcement: Postgraduate Course in Statistics for Humanities

Host Institution: University of Copenhagen
Coordinating Institution: University of Copenhagen
Website https://phdcourses.dk/Course/21175
Dates: 3-Feb-2014 to 7-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
Additional Qualifications:
Full Summer School 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 will take place in the period 3-7 February 2014 and 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.
Course Listings:
Linguistic Subfield: Computational Linguistics
Subject Language:
Lang family:
Tuition: (USD)
Registration Dates: 28-Nov-2013 to 8-Jan-2014
Contact person information: Albert Gatt
Email:albert.gatt@um.edu.mt
Apply online: 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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