Difference between revisions of "UNIL MSc course: Data Analysis I 2020"
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* Coordinator: [[Sven Bergmann]] | * Coordinator: [[Sven Bergmann]] | ||
− | * Lecturers: [[Sven Bergmann]] & [https://www.unil.ch/dbc/en/home/menuinst/research-groups/giovanni-ciriello.html | + | * Lecturers: [[Sven Bergmann]] & [https://www.unil.ch/dbc/en/home/menuinst/research-groups/giovanni-ciriello.html Giovanni Cirello] |
− | * Assistants: [ | + | * 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) | ||
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** 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) | ||
− | * | + | * 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]. |
+ | |||
+ | * 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 [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. | ||
+ | |||
+ | * Recordings are available on Moodle: [https://moodle.unil.ch/course/view.php?id=18573] | ||
+ | |||
+ | * Required software: | ||
+ | ** 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) | ||
+ | ** 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]