040164 UE Python for Finance I (MA) (2022W)
Continuous assessment of course work
Labels
ON-SITE
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).
- Registration is open from Mo 12.09.2022 09:00 to Fr 23.09.2022 12:00
- Registration is open from We 28.09.2022 09:00 to Th 29.09.2022 12:00
- Deregistration possible until Fr 14.10.2022 23:59
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Monday
03.10.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
10.10.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
17.10.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
24.10.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
31.10.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
07.11.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
14.11.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
21.11.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
28.11.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
05.12.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
12.12.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
09.01.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
16.01.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
23.01.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday
30.01.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
The grade will be based on homework exercises that participants are expected to present in class, active class participation, and a final exam. The final exam will take place on January, 30.
Minimum requirements and assessment criteria
60% homework exercises
10% active class participation
30% final examMinimum requirement for a positive grade: a total of 50%.
10% active class participation
30% final examMinimum requirement for a positive grade: a total of 50%.
Examination topics
All material covered in class.
Reading list
Main reference:Sheppard, Kevin. Introduction to Python for Econometrics, Statistics and Data Analysis, 2021. https://www.kevinsheppard.com/files/teaching/python/notes/python_introduction_2021.pdfMcKenney, Wes. Python for Data Analysis, 2nd edition, 2017. O'Reilly Media.Official Python documentation and tutorials: https://docs.python.org/3/tutorial/index.html
Association in the course directory
Last modified: Sa 01.10.2022 17:08
2. Numerical Computing with NumPy
3. Data Analysis with pandas
4. Regression Analysis with statsmodels and linearmodelsFurthermore, data visualization with matplotlib will be part of all chapters.