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== Мы вернулись! ==
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* Instructors: Ilya Schurov and Olga Lyashevskaya
Сайт math-info.hse.ru восстанавливается после аварии. Пока здесь только материалы весеннего семестра 2019-20 учебного года.
 
  
== Школа лингвистики ==
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== Materials ==
* [[Теория вероятностей и математическая статистика]] (2 курс)
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* [https://github.com/LingData2019/LingData/tree/master/seminars/2020-01-18 Lab 01: intro to R]
  
== Совместный бакалавриат ВШЭ и РЭШ ==
 
* [[Дифференциальные уравнения]]
 
* [[Наука о данных]]
 
  
== Программы Школы лингвистики ==
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* [[Linguistic Data: Quantitative Analysis and Visualisation: computational linguistics]]
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== Software ==
* [[Linguistic Data: Quantitative Analysis and Visualisation: linguistic theory]]
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During this course we will use R as a programming language and RStudio as a GUI.
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How to install R and RStudio?
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1. Download R (you can choose another mirror here if you wish) and install it on your computer. Make sure you did it before installing RStudio.
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2. Download RStudio (you need RStudio Desktop Open Source License) and install it on your computer. It is recommended to create a shortcut for RStudio during installation.
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It is possible avoid installing anything on your PC, using [https://rstudio.cloud rstudio.cloud] (an online version of RStudio).
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For successful submission of assignments you should be able to create and save R code files (.R) and RMarkdown files (.Rmd).
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== Homeworks ==
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* Homework 1 (deadline: January 25, 12:00), Rmd-file to fill in, link to submit your .Rmd file
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== Final project ==
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Projects description TBA
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Projects pre-registration: link to submit your file TBA
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Final versions of project papers: link to sumbit your files TBA
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== Course Info ==
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This page contains the materials of the course "Linguistic Data: Quantitative Analysis and Visualisation", taught at the HSE Master's program "Computational Linguistics" in 2019-2020 academic year. Modules: 3-4.

Версия 04:21, 18 января 2020

  • Instructors: Ilya Schurov and Olga Lyashevskaya

Materials


Software

During this course we will use R as a programming language and RStudio as a GUI.

How to install R and RStudio?

1. Download R (you can choose another mirror here if you wish) and install it on your computer. Make sure you did it before installing RStudio.

2. Download RStudio (you need RStudio Desktop Open Source License) and install it on your computer. It is recommended to create a shortcut for RStudio during installation.

It is possible avoid installing anything on your PC, using rstudio.cloud (an online version of RStudio).

For successful submission of assignments you should be able to create and save R code files (.R) and RMarkdown files (.Rmd).


Homeworks

  • Homework 1 (deadline: January 25, 12:00), Rmd-file to fill in, link to submit your .Rmd file


Final project

Projects description TBA Projects pre-registration: link to submit your file TBA Final versions of project papers: link to sumbit your files TBA


Course Info

This page contains the materials of the course "Linguistic Data: Quantitative Analysis and Visualisation", taught at the HSE Master's program "Computational Linguistics" in 2019-2020 academic year. Modules: 3-4.