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

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(не показано 30 промежуточных версий этого же участника)
Строка 6: Строка 6:
 
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| Jan 10
 
| Jan 10
| Introduction. Quantitative linguistic research and data types. R basic
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| Introduction. Quantitative linguistic research and data types. R basics
 
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|
 
|
 
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Строка 12: Строка 12:
 
| Jan 17
 
| Jan 17
 
| Statistical hypothesis testing. Binomial test
 
| Statistical hypothesis testing. Binomial test
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| [https://rpubs.com/ilyaschurov/binomial-test-2022 code]
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| [https://youtu.be/t6Yx201bJ0w video]
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|-
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| Jan 24
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| Measures of statistical dispersion: variance and standard deviation. Population and sample. Estimate of population mean. Central limit theorem
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| [https://rpubs.com/ilyaschurov/clt2022 code]
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| [https://youtu.be/XSa0jddeSGI lecture], [https://youtu.be/1wGuaGep9-E practice]
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|-
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| Jan 31
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| One sample t-test
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| [https://rpubs.com/ilyaschurov/one-sample-t-test-2022 code]
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| [https://youtu.be/ROdF_S3BGRg lecture], [https://youtu.be/tPJ48yp420s practice]
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|-
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| Feb 7
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| One sided and two sided alternatives. Two sample t-test
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| [https://rpubs.com/ilyaschurov/alternatives-and-two-sample-t-test code]
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| [https://youtu.be/evwKkS9i458 video]
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|-
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| Feb 14
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| Multiple comparison problem. ANOVA
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| [https://rpubs.com/ilyaschurov/anovaci2022 code], [https://rpsychologist.com/d3/ci/ Confidence intervals visualization]
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| [https://youtu.be/F4u8zl4t9gI video]
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|-
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| Feb 21
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| Visualizations
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|
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|
 +
|-
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| Feb 28
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| Chi-squared test
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|
 
|
 
|
| [https://youtu.be/t6Yx201bJ0w video]
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|-
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| April 7
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| Correlations
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|
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| [https://youtu.be/ZONGPIUbEuU video]
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|-
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| April 11
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| Bivariate regression
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|
 +
|
 +
|-
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| April 18
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| Multivariate regressions
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| [https://rpubs.com/AllaT/lingdat-multreg code]
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| [https://youtu.be/SH9rWe6I_Tw video]
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|-
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| April 25
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| Logistic regression
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|
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| [https://youtu.be/az4CmJ9BlUY video]
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|-
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| May 12
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| Random effects
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|
 +
| [https://youtu.be/8XMC5sU1c3w video]
 
|}
 
|}
  
 
== Homeworks ==
 
== Homeworks ==
* [https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw1.pdf Homework 1] ([https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw1.Rmd Rmd template]). Due date Jan 30, 23:00.
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'''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.
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 +
=== Homework #1 ===
 +
* [https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw1.pdf Homework file]
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* 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.
 +
* Please, upload your solutions (Rmd files) [https://www.dropbox.com/request/b3s0T4K41QNYWTZ4C4fu here].
 +
 
 +
=== Homework #2 ===
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* [https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw2.pdf Homework file]
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* Please, put your solutions in the [https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw2.Rmd Rmd template].
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* Due date: Feb 20, 23:00.
 +
* Please, upload your solutions (Rmd files) [https://www.dropbox.com/request/b3s0T4K41QNYWTZ4C4fu here].
 +
 
 +
=== Homework #3 ===
 +
* [https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw3.pdf Homework file]
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* Please, put your solutions in the [https://github.com/ischurov/LingDataQAV-2022/raw/main/homeworks/hw3.Rmd Rmd template].
 +
* Due date: May 15, 23:59.
 +
* Please, upload your solutions (Rmd files) [https://www.dropbox.com/request/b3s0T4K41QNYWTZ4C4fu here].
 +
 
 +
=== Final projects ===
 +
* [https://github.com/ischurov/LingDataQAV-2022/blob/main/final-projects.pdf Final projects description]
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* Upload project proposals [https://www.dropbox.com/request/oTwYIfAt0haC7ObBrnDm here], due date is April 27.

Текущая версия на 22:04, 19 мая 2022

  • Instructors: Ilya Schurov and Ivan Pozdnyakov

Materials

Date Topics Links video
Jan 10 Introduction. Quantitative linguistic research and data types. R basics
Jan 17 Statistical hypothesis testing. Binomial test code video
Jan 24 Measures of statistical dispersion: variance and standard deviation. Population and sample. Estimate of population mean. Central limit theorem code lecture, practice
Jan 31 One sample t-test code lecture, practice
Feb 7 One sided and two sided alternatives. Two sample t-test code video
Feb 14 Multiple comparison problem. ANOVA code, Confidence intervals visualization video
Feb 21 Visualizations
Feb 28 Chi-squared test
April 7 Correlations video
April 11 Bivariate regression
April 18 Multivariate regressions code video
April 25 Logistic regression video
May 12 Random effects 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

Homework #2

Homework #3

Final projects