Data analysis with Python

Planned contents

• introduction to Python and Jupyter
• data evaluation using matplotlib, numpy, pandas, etc.
• 1D, 2D, 3D visualization
• image and video evaluation
• optimization
• automation

Further information

• no prerequisites
• exercise-based concept
• processing of own data records possible and desired
• lecture notes available (selected sections from the lecture notes Ingenieurinformatik)

Organisation

First meeting on November 7th, 2023, at 8:15, in HC.01.36
Following meetings will be agreed on with the participants.

Please enrol in the Moodle course, as this is the main communication platform for this lecture.

All dates are / will be updated in Studilöwe.

Guests, especially students from other topics, are very welcome. Please contact us for registration and further information.