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040123 KU Programming for Business Analytics (MA) (2022W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
REMOTE

Only students who signed up for the class in univis/u:space are allowed to take the class (that means, that you have to at least be on the waiting list if you want to take this class). No exceptions possible.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 05.10. 11:30 - 13:00 Digital
Wednesday 12.10. 11:30 - 13:00 Digital
Wednesday 19.10. 11:30 - 13:00 Digital
Wednesday 09.11. 11:30 - 13:00 Digital
Wednesday 16.11. 11:30 - 13:00 Digital
Wednesday 23.11. 11:30 - 13:00 Digital
Wednesday 30.11. 11:30 - 13:00 Digital
Wednesday 07.12. 11:30 - 13:00 Digital
Wednesday 14.12. 11:30 - 13:00 Digital
Wednesday 11.01. 11:30 - 13:00 Digital
Wednesday 18.01. 11:30 - 13:00 Digital
Wednesday 25.01. 11:30 - 13:00 Digital

Information

Aims, contents and method of the course

The main scope of this course is an introduction to the programming language Python. The course covers the basics of programming, as well as in depth skills necessary for data analysis and optimization algorithms. The course content is provided in the form of video files. A continuous learning is assured by weekly homework assignments.

Assessment and permitted materials

Homework (20%), Midterm exam (30%), Endterm exam (40%), Theory exam (10%).
All submission will be online via Moodle. The exams will be online as well.

Minimum requirements and assessment criteria

For a positive grade, students have to achieve at least 50 percent (overall score).
Grading key:
4: 50% to <63%
3: 63% to <75%
2: 75% to <90%
1: 90% to 100%

Examination topics

Lecture notes, literature excerpts, home assignments

Reading list

Deitel, P. J., & Dietal, H. (2020). Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud. Pearson Education, Incorporated.

Association in the course directory

Last modified: Th 01.12.2022 14:28