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Semester | spring semester 2019 |
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. |
Learning objectives | By the end of the course, students will be able to use R for basic statistical analysis and graphical representation. 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 |
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No dates available. Please contact the lecturer.
Modules |
Courses: Master Infection Biology (Master's Studies: Infection Biology) 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 |