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49935-01 - Lecture with internship: Applied Statistics Using R (1 CP)
| Semester | spring semester 2025 |
| Course frequency | Every spring sem. |
| Lecturers | Thomas Fabbro (thomas.fabbro@unibas.ch, Assessor) |
| Content | 3-day course on applied statistics using the open-source software environment R for statistics and graphics (www.r-project.org). Apart from being a powerful software environment for statistical analyses, you can easily produce tables and publication quality graphics with R. Using one software for statistics and graphics reduces the danger of inconsistencies. The course combines lectures and practical exercises using R. Participants should therefore bring their own laptops if possible. Detailed instructions for software installation will be provided after registration. Of course, we will not be able to explore the full capabilities of R in three days. After this course, however, participants should be able to continue working independently with R. The course includes an Exam on day 3. Day 1: Introduction to R Course participants will be guided through their first R session or refresh their R programming skills. We will focus on the basics of the R programming language and on working with data. Day 2: Tables, Graphics and reproducible reports Course participants will produce tables and graphics using R and learn how the use of markdown (http://rmarkdown.rstudio.com/) allows to directly embed R code and R output in text documents (keyword: reproducible research). Day 3: Data analysis Course participants will refresh their knowledge about basic statistical tests and linear models (including ANOVA and linear regression) and learn how to apply them in R. An outlook on more complex statistical models will be given at the end of the day. |
| Comments | Please register via: phd-biozentrum@unibas.ch. Dates 2025: 12.2. - 14.2.2025 |
| Weblink | Graduate Teaching Program |
| Admission requirements | Please bring your own laptop! |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| Block | See individual dates | ||
Dates
| Date | Time | Room |
|---|---|---|
| Wednesday 12.02.2025 | 08.00-18.00 | Biozentrum, Seminarraum U1.193 |
| Thursday 13.02.2025 | 08.00-18.00 | Biozentrum, Seminarraum U1.193 |
| Friday 14.02.2025 | 08.00-18.00 | Biozentrum, Seminarraum U1.193 |
| Modules |
Cycle I: Practical and Experimental Skills (Master's Studies: Molecular Biology) Doctorate Biochemistry: Recommendations (PhD subject: Biochemistry) Doctorate Biophysics: Recommendations (PhD subject: Biophysics) Doctorate Cell Biology: Recommendations (PhD subject: Cell Biology) Doctorate Computational Biology: Recommendations (PhD subject: Computational Biology) Doctorate Genetics: Recommendations (PhD subject: Genetics) Doctorate Microbiology: Recommendations (PhD subject: Microbiology) Doctorate Molecular Biology: Recommendations (PhD subject: Molecular Biology) Doctorate Neurobiology: Recommendations (PhD subject: Neurobiology) Doctorate Pharmacology: Recommendations (PhD subject: Pharmacology) Doctorate Structural Biology: Recommendations (PhD subject: Structural Biology) Module: Electives in Data Science (Master's Studies: Data Science) |
| Assessment format | continuous assessment |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Departement Biozentrum |