Difference between revisions of "UNIL MSc course: Data Analysis I 2020"

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* Materials: The lesson will roughly follow the course notes available at: [https://medical-genomics-group.github.io/data-analysis/index.html] which are based on [https://www.econometrics-with-r.org/index.html].
 
* Materials: The lesson will roughly follow the course notes available at: [https://medical-genomics-group.github.io/data-analysis/index.html] which are based on [https://www.econometrics-with-r.org/index.html].
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* Recordings are available on Moodle: [https://moodle.unil.ch/course/view.php?id=18573]
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* Required software:
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**  recent version of R (in doubt, simply download and install the latest version from the R website at [https://stat.ethz.ch/CRAN/] -- many potential problems are solved by simply upgrading to the latest R version)
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** RStudio (which you can download from [http://www.rstudio.com/products/rstudio/download/])

Revision as of 17:16, 23 September 2020

  • Coordinator: Sven Bergmann
  • Lecturers: Sven Bergmann & Giovanni Cirello
  • Assistants: Marion Paxtot, Daniel Krefl
  • Schedule:
    • Lecture 1 "Probability theory" (Sven): September 18, 8:15-10:00 (Auditoire C, Genopode)
    • Exercises 1 "Probability theory" (Marion & Daniel): September 18, 10:15-12:00 (Auditoire C, Genopode)
    • Lecture 2 "Basic statistics" (Sven): September 25: 8:15-10:00 (Auditoire C, Genopode)
    • Exercises 2 "Basic statistics" (Marion & Daniel): September 25, 10:15-12:00 (Auditoire C, Genopode)
    • Lecture 3 "Multiple/nonlinear regression" (Giovanni): October 2: 8:15-10:00 (Zoom)
    • Exercises 3 "Multiple/nonlinear regression" (TBA): October 2: 10:15-12:00 (Zoom)
  • Materials: The lesson will roughly follow the course notes available at: [1] which are based on [2].
  • Recordings are available on Moodle: [3]
  • Required software:
    • recent version of R (in doubt, simply download and install the latest version from the R website at [4] -- many potential problems are solved by simply upgrading to the latest R version)
    • RStudio (which you can download from [5])