Python Course

Lecture

taught by Marcus Rockel

For being able to participate in the lecture, please bring your own notebook with you (with eduroam access).

Content

The lecture covers the basics of Python, frequently used Python packages in the field of data science, as well as efficient programming by using Integrated Development Environments.

The lecture teaches:

  • Mastering data-related tasks by using Python.
  • Writing Python scripts.
  • Knowledge of the most important Python packages for data processing and analysis.
  • Effective use of Integrated Development Environments.

 

Dates/LocationFridays 2-4pm in lecture hall 1199 KG I

                                                      

First Meeting

October 17th, 2025



 

LanguageEnglisch
 
Prerequisits

None

ECTS6
 
Exam        

90 minutes written exam

ILIAS

Lecture materials (slides, exercises and any other files) will be provided on ILIAS. The ILIAS password required to access the lecture materials will be sent by e-mail to all those who have previously registered for the course in HISinOne before the first lecture.

Credit

This lecture can be credited as follows:

In M.Sc. Economics, in all profiles.

In M.Sc. VWL:

  • Business Analytics
  • Finance, Accounting, and Taxation
Literature https://python-programming.quantecon.org/ und andere.

 

Tutorial

taught by Marcus Rockel

Dates/Location

Thursdays 2-4pm in lecture hall 3042 KG III

First MeetingOctpber 23rd, 2025                                             

 

 

 

 
Benutzerspezifische Werkzeuge