2020230196 Practical Data Analysis in Nano Analytical Sciences
Digital- & Präsenz-basierter Kurs
- classroom language
- EN
- aims
- The students acquire experience in analyzing and processing big research datasets in Nano Analytical Sciences and presenting them in a suitable manner.
- requirements
- Good background knowledge in (Nano) Analytical Sciences. Experience with handling measurement datasets.
- structure / topics / contents
- This is a practical course dealing with the following topics:
- programming in Python
- use of a programming environment (Jupyterlab or similar)
- understanding datasets in Nano Analytical Sciences
- handling/processing datasets
- presentation of processed data / results
- developing interactive programs for easy analysis and presentation
- assigned modules
-
WP7
- amount, credit points; Exam / major course assessment
- 15 SWS, 10 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)
Report and Presentation
- other
- A registration for the practicals until April 10th 2023 is mandatory. Please contact the lecturer for details about participation.
- contact
- Prof. Kannan Balasubramanian, AES 5-9, R.202