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| Semester | spring semester 2024 |
| 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 difficult to use at first. R is characterised by enormous flexibility, allowing the user to perform sophisticated statistical procedures or simulations, but is less intuitive compared to other statistical software. The course will mainly use data and analysis techniques related to epidemiology and biomedical science. The course is designed for people who have 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 visualisation. They will be aware of common pitfalls and the software's strengths and limitations. |
| Comments | This blended learning course consists of 2 parts. The 1st part is an online module on Adam with an online exam at the end. The time required to complete the online part varies greatly from person to person. People who are familiar with similar scripting languages (e.g. Stata, SAS, Python) will naturally find their way around more quickly. People without such prior knowledge need an average of 4 to 6 hours (excl. exam). The exam must be completed no later than the day before the on-site part of the block course starts. The online exam can be repeated as often as you like, but there must be at least 15 minutes between two attempts. The 2nd part of the course (2nd week Thursday and Friday) will be on-site with lectures and practical sessions. |
| Admission requirements | To attend the on-site lectures and practical sessions (Thursday and Friday of week 2), you must first complete the online module on Adam. You must pass the online exam at least one day before the start of the on-site part of the course. The online exam can be repeated as often as you like, but there must be at least 15 minutes between two attempts. |
| Language of instruction | English |
| Use of digital media | Online, mandatory |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| Block | See individual dates | ||
| Date | Time | Room |
|---|---|---|
| Monday 26.02.2024 | 09.30-16.00 | start of prework phase |
| Thursday 07.03.2024 | 09.30-16.00 | Swiss TPH Neubau, Seminarraum 4 |
| Friday 08.03.2024 | 09.30-16.00 | 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 | Part 1: online course; mandatory preparatory self learning: online exam Part 2: on site; lecture and practicals: 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 |