Difference between revisions of "BIST Introduction to Statistics 2016"

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== BIST "Introduction to Biostatistics" Course ==
 
== BIST "Introduction to Biostatistics" Course ==
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==== Course Description ====
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This introductory course to statistics and probability theory is modeled after the traditional university course Statistics 101 and will be given by the CRG staff and PhD students. The material is offered in 5 consecutive modules (please see Course Syllabus below), each containing a morning lecture and an afternoon practicum in a computer class. For practical exercises we will use R programming language and R Studio. However, this course is focused on statistics rather than R; therefore, each practicum is designed with the purpose to demonstrate and reinforce understanding of concepts introduced in the lecture rather than to provide a training in R.
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==== Course Objectives ====
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To introduce the basic concepts of statistics and probability and to demonstrate how they can be applied to real-life biological problems using R. Knowledge of statistics or R is not required for taking this course. However, familiarity with the material in the previous modules is recommend if the modules are not taken in a sequence.
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==== Course Instructors ====
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* Dmitri Pervouchine (lectures), [email.
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* German Demidov, [german.demidov@crg.eu email].
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* Ande Gohr, email.
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* Sarah Bonnin, email.
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* Julia Ponomarenko, email.
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==== External Resources ====
 
==== External Resources ====

Revision as of 10:16, 28 April 2016

BIST "Introduction to Biostatistics" Course

Course Description

This introductory course to statistics and probability theory is modeled after the traditional university course Statistics 101 and will be given by the CRG staff and PhD students. The material is offered in 5 consecutive modules (please see Course Syllabus below), each containing a morning lecture and an afternoon practicum in a computer class. For practical exercises we will use R programming language and R Studio. However, this course is focused on statistics rather than R; therefore, each practicum is designed with the purpose to demonstrate and reinforce understanding of concepts introduced in the lecture rather than to provide a training in R.


Course Objectives

To introduce the basic concepts of statistics and probability and to demonstrate how they can be applied to real-life biological problems using R. Knowledge of statistics or R is not required for taking this course. However, familiarity with the material in the previous modules is recommend if the modules are not taken in a sequence.


Course Instructors

  • Dmitri Pervouchine (lectures), [email.
  • German Demidov, [german.demidov@crg.eu email].
  • Ande Gohr, email.
  • Sarah Bonnin, email.
  • Julia Ponomarenko, email.


External Resources

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