Online Course Guide of WHU –
Find all modules and courses of our degree programs.
Please use the filters below to select the term (spring or fall) as well as the respective program (BSc, MSc, MBA, Exchange, Doctoral) of your choice for an overview of all modules offered at WHU. The courses are listed under the modules. Please click on a module to see which courses are part of it. If you would like to find out more about a certain course, click on the name of the course to see detail information. The location of the lecture will be revealed after your course registration on myWHUstudies.
Spring term counts from January - August, fall term counts from September - December.
Important for Exchange Students: As the Full-Time and Part-Time MBA Programs utilize a modular course structure, the dates on which students begin and end the exchange are flexible. Please find here a chronological overview of the preliminary course offering for Fall and Spring.
Introduction to Python and Programming
(Please note that exchange students obtain a higher number of credits in the BSc-program at WHU than listed here. For further information please contact directly the International Relations Office.)
This prepares the student for further courses, for example, in Data Science, Machine Learning, or Web Development.
Students taking this course in the past reported that they could use what they learned in summer internships as well, in particular when they worked in start-ups.
Also, many students applied what they learned when writing their Bachelor theses.
The topics introduced are:
- basic elements of a programming language
- modularization via functions
- boolean if-else logic
- flow control via for- or while-loops
- data types (lists, tuples, dictionaries, sets, arrays, dataframes)
- replacing Excel with Python
- data mining with APIs (e.g., Google Maps API)
Exercises and case studies show how the learned concepts can be applied in the real world.
Form of examination
Exam (33%): Python "Theory" & Concepts
The coding assignments are done in small and randomized groups at home. They require the students to solve real-life tasks on their own. The solutions are presented in class and the students may improve their grade with active participation.
The exam focuses on the concepts taught in class. Exam-like questions are distributed after every lecture, and if the students can answer them, they are ready for the exam. There is no memorizing bullet points for this exam. Big promise!