School of Architecture and Civil Engineering

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)


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. 

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