Linguistic Data: Quantitative Analysis and Visualisation: linguistic theory: различия между версиями

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* Please, put your solutions in the [https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw1.Rmd Rmd template].  
 
* Please, put your solutions in the [https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw1.Rmd Rmd template].  
 
* Due date: Jan 30, 23:00.
 
* Due date: Jan 30, 23:00.
 +
* Please, upload your solutions (Rmd files) [https://www.dropbox.com/request/b3s0T4K41QNYWTZ4C4fu here].

Версия 22:18, 27 января 2022

  • Instructors: Ilya Schurov and Ivan Pozdnyakov

Materials

Date Topics Links video
Jan 10 Introduction. Quantitative linguistic research and data types. R basic
Jan 17 Statistical hypothesis testing. Binomial test video

Homeworks

Academic ethics policy: you have to do your homeworks by yourself. In case of academic cheating (e.g. if you copy someone else's work, etc.), your work will receive grade 0 and the program supervisor will be notified. If you feel that you are stuck with the homeowork, ask for instructor's advices and hints.

Late penalties: in case of late submission, your grade will be multiplied by exp(-t / 86400), where t is the number of seconds since the due date. For example, if you delay the submission by one day, your grade will be multiplied by exp(-1)=0.3678794412.

Extensions: you can ask for up to two extensions of homework due dates during the course. Each extension is one week. Extensions due to valid excuses (i.e. illness) do not count.

Homework #1