Dresden International Graduate School for Interdisciplinary Life Sciences

We are very pleased to announce the course Applied statistical data analysis with R for DIPP PhD students organized with the support of Dr. Michael Seifert. Group Leader at the Bioinformatics Core Unit, IMB TU Dresden. The introductory course provides a basic understanding of how to use the statistics software R in combination with the user interface RStudio. Starting with an introduction to the basic functionality of R, practical data sets are analyzed in the course in order to learn how to use different statistical methods and how to create different types of graphics.

• When: 25–28 September 2023 (9:00–13:00)
• Where: University Clinics, House 105, Computer Pool (Room 2.350, 2nd floor), Blasewitzer Straße 86

Registered PhD students will be informed as soon as possible after the deadline whether a slot in the course could be assigned to them!

Registration

• Via the BIOTEC INDICO system
• The number of participants will be limited to 8 and the target audience are beginners.
• Registration deadline: Tuesday, 15 August 2023

Requirements

• Full attendance and active participation during the course and exercises. Please note that if you want to join the course, you are expected to dedicate your time fully to this course, to be present during the whole course and not to plan any additional activities during the schedule of the course. Therefore, please apply only if you can ensure full attendance.
• A letter of motivation
• Acceptance of the Guidelines for participation (see below)

You can find more information about the content and structure of the course on the registration website and the Course Description PDF.

Guidelines for participation

• We expect course participants to participate with dedication and regularity.
• If the course cannot be attended as originally planned, registration must be formally cancelled so that candidates on the waiting list can be included.
• Non-attendance without formal cancellation, or irregular participation without an acceptable excuse is considered as unexcused absence.
• We may consider further training requests from participants who did not comply with above mentioned points with low priority.
• For DIPP students, successfully completed courses will be officially recognized and certified by the instructor and the PhD Program Office.
• Participants are expected to contribute to the evaluation and further development of the course by completing an evaluation questionnaire.