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

 
 
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* Coordinator: [[Sven Bergmann]]
 
* Coordinator: [[Sven Bergmann]]
* Lecturers: [[Sven Bergmann]] & [Giovanni Cirello|marion https://www.unil.ch/dbc/en/home/menuinst/research-groups/giovanni-ciriello.html]
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* Lecturers: [[Sven Bergmann]] & [https://www.unil.ch/dbc/en/home/menuinst/research-groups/giovanni-ciriello.html Giovanni Cirello]
* Assistants: [Marion Paxtot|https://wp.unil.ch/ctgg/people/]
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* Assistants: [https://wp.unil.ch/ctgg/people/ Marion Paxtot], Daniel Krefl
 
* Schedule:
 
* Schedule:
 
** Lecture 1 "Probability theory" (Sven): September 18, 8:15-10:00 (Auditoire C, Genopode)  
 
** 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)  
 
** 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)  
 
** Lecture 2 "Basic statistics" (Sven): September 25: 8:15-10:00 (Auditoire C, Genopode)  
** Exercises 2 "Basic statistics" (Marion & Daniel): September 18, 10:15-12:00 (Auditoire C, Genopode)  
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** 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)
 
** 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)
 
** Exercises 3 "Multiple/nonlinear regression"  (TBA): October 2: 10:15-12:00 (Zoom)
  
* Material: The lesson will roughly follow the course notes available at: [https://medical-genomics-group.github.io/data-analysis/index.html]
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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].
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* Exercises and grades
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** This course has no oral or written exam; instead students must submit their solutions to exercises.
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** The first set of exercises is a "warm up". A total score is the number of correct answers minus the number of incorrect answers (slightly incorrect answers do not alter the score). The grade is the score truncated at 6 (and zero). The deadline of submission is 27.9 22:00.
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** The [https://docs.google.com/document/d/1OUj8ctrQ8RFOj8x1UFLiNBsiFGzhqvUVpgG3HZDPYX0/edit?usp=sharing second] and third set of (slightly more advanced) exercises will have a similar weighing scheme. The final mark for each module is weighted average of all exercise sets. For the first module the weights are 1/4 for the first two sessions and 1/2 for the third session. For the second module all weights are equal.
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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/])

Latest revision as of 09:10, 25 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].
  • Exercises and grades
    • This course has no oral or written exam; instead students must submit their solutions to exercises.
    • The first set of exercises is a "warm up". A total score is the number of correct answers minus the number of incorrect answers (slightly incorrect answers do not alter the score). The grade is the score truncated at 6 (and zero). The deadline of submission is 27.9 22:00.
    • The second and third set of (slightly more advanced) exercises will have a similar weighing scheme. The final mark for each module is weighted average of all exercise sets. For the first module the weights are 1/4 for the first two sessions and 1/2 for the third session. For the second module all weights are equal.
  • 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])