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| Semester | spring semester 2019 |
| Course frequency | Once only |
| Lecturers |
Virginie Freytag (virginie.freytag@unibas.ch, Assessor)
Thomas Schlitt (thomas.schlitt@unibas.ch) |
| Content | Collecting large and complex datasets, like genetics or MRI-data, offers the chance to gain new insight in life science. However, this also comes along with challenges regarding data management and data analysis, especially when analyses are planned to be done across several large datasets. To understand scientific data management and data analysis, one has to combine knowledge from a variety of disciplines like computer science, scientific databases and applied statistics in combination with the biological background of each single dataset. In this seminar, we will focus on the technical and statistical aspects of developing scientific data-processing pipelines. We will further discuss real-life scientific examples from molecular and cognitive neuroscience. |
| Learning objectives | The participants should develop a general understanding of data-processing pipelines in Life Science. They should be able to apply this knowledge in their daily work as PhD students. |
| Admission requirements | Abgeschlossenes Masterstudium. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Doctorate Psychology: Recommendations (PhD subject: Psychology (Start of studies before 01.02.2015)) Doctorate Psychology: Recommendations (PhD subject: Psychology) |
| Assessment format | continuous assessment |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | no repetition |
| Responsible faculty | Faculty of Psychology, studiendekanat-psychologie@unibas.ch |
| Offered by | Faculty of Psychology |