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76283-01 - Practical course: Data Analysis Clinic (1 CP)
| Semester | fall semester 2026 |
| Course frequency | Every fall sem. |
| Lecturers | Natacha Bodenhausen (natacha.bodenhausen@unibas.ch, Assessor) |
| Content | In this course, students will bring a problem from their PhD or master’s project to share with the class. Students will get tailored advice about the appropriate statistical analysis/approach for their data in this course. They will work on their problem with guidance from the instructor and peer support through regular online meetings and one intermediate meeting. At the end of the course, students will present their solution to the class. Workshop 1: Introduction and organization, students’ presentation of their problem. Workshop 2: Intermediate meeting to discuss progress and share strategies. Workshop 3: Final presentations of students’ projects, discussion and feedback. Week 2-Week 11: Weekly online tutoring on Wednesdays from 13:30 to 15:00 (depending on the number of students, 3-6 sessions per student) |
| Learning objectives | - Students will gain hands-on experience using GitHub within RStudio for version control and collaboration - Students will develop an R script tailored to analyze their specific research problem - Students will contribute to a shared repository of R scripts, enhancing collective learning and code reusability |
| Comments | Please register for the course at least two weeks before the start date. |
| Admission requirements | Participation is limited to 8 students, with priority given to DUW and PSC PhD students. Participants should have basic knowledge of R (for example, attendance of the 48662 Introduction to R or the PSC course “Introduction to R”) as well as a basic course in statistics. Before the start of the course, please send an email to natacha.bodenhausen@unibas.ch including your PhD program or master’s program and a short description of your problem (5 sentences maximum). |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| unregelmässig | See individual dates | ||
| Comments | The individual online weekly sessions will take place on Wednesdays from 13:30 to 15:00. |
Dates
| Date | Time | Room |
|---|---|---|
| Wednesday 16.09.2026 | 13.00-15.00 | Botanik, Seminarraum 00.005 |
| Wednesday 28.10.2026 | 13.00-15.00 | Botanik, Seminarraum 00.005 |
| Wednesday 09.12.2026 | 13.00-15.00 | Botanik, Seminarraum 00.005 |
| Modules |
Courses: Master's Studies Ecology (Master's Studies: Ecology (Start of studies before 01.08.2025)) Courses: Master's Studies Plant Science (Master's Studies: Plant Science (Start of studies before 01.08.2025)) Doctorate Botany: Recommendations (PhD subject: Botany) Doctorate Environmental Sciences: Recommendations (PhD subject: Environmental Sciences) Doctorate Geography: Recommendations (PhD subject: Geography) Doctorate Geosciences: Recommendations (PhD subject: Geosciences) Doctorate Prehistory and Archaeological Science: Recommendations (PhD subject: Prehistory and Archaeological Science) Doctorate Zoology: Recommendations (PhD subject: Zoology) Geography: Recommendations (PhD subject: Geography) Module: Courses for Master's Studies in Ecology (Master's Studies: Ecology) Module: Courses for Master's Studies in Plant Science (Master's Studies: Plant Science) |
| Assessment format | continuous assessment |
| Assessment details | Active participation, including a mandatory 6 hours of in-person engagement, 4-6 individual online tutoring sessions, and the submission of an R script presenting the solution to the problem. |
| 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 | Integrative Biologie |