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| Semester | spring semester 2023 |
| Course frequency | Every spring sem. |
| Lecturers | Jan Hattendorf (jan.hattendorf@unibas.ch, Assessor) |
| Content | This course is an introduction to R, a free open-source software environment for statistical computing. The software is very popular but hard to use at first. R is characterized by an enormous flexibility that enables the user to perform sophisticated statistical procedures or simulations but is less intuitive compared to other statistical software. The course will use mainly data and analysis techniques related to epidemiology and biomedical science. The course is designed for people who never used R before. |
| Learning objectives | By the end of the course, students will be able to use R for basic statistical analysis and data visualization. They will be aware of common mistakes and will know the strengths and limitations of the software. |
| Comments | Methods: Lectures and practical sessions |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| Block | See individual dates | ||
| Date | Time | Room |
|---|---|---|
| Thursday 23.02.2023 | 09.00-17.00 | Swiss TPH Neubau, Seminarraum 4 |
| Friday 24.02.2023 | 09.00-17.00 | Swiss TPH Neubau, Seminarraum 4 |
| Modules |
Courses: Master Infection Biology (Master's Studies: Infection Biology) Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology) Module: Advances in Epidemiology, Statistics and Global & Public Health (Master's Studies: Epidemiology) |
| Assessment format | continuous assessment |
| Assessment details | Assignment |
| 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 | Schweizerisches Tropen- und Public Health-Institut |