Uni Wien:Programming for Business Analytics VU (Braune)
Details[Bearbeiten | Quelltext bearbeiten]
| Vortragende | Roland Braune |
|---|---|
| ECTS | 8 |
| Sprache | English |
| Links | ufind:040123 , Homepage |
| Master Business Analytics | |
| Master Business Analytics |
Content[Bearbeiten | Quelltext bearbeiten]
The main scope of this course is an introduction to the programming language Python.
The course covers:
- Python syntax
- If-statements
- Loops and Lists
- Array
- Pandas
- Efficient Code (BigO-Notation)
Procedure[Bearbeiten | Quelltext bearbeiten]
Wintersemester 2022:
- Weekly homework assignments via Moodle (20% of the grade)
- Midterm Take-home Exam and 48h to solve the taks (30% of the grade)
- Small theory exam with MC-questions via Moodle (10% of the grade)
- Data project in pairs (including code, report, presentation via pre-recorded video) (40% of the grade)
Prerequisites[Bearbeiten | Quelltext bearbeiten]
Because it is an introduction course, there are no prerequisites.
However, some Python skills are advantageous.
Method of the course[Bearbeiten | Quelltext bearbeiten]
The course content is provided in the form of prerecorded videos and online Q&A sessions once per month.
Duration of receiving grade[Bearbeiten | Quelltext bearbeiten]
| Semester | Last exam | Examination results | Duration |
|---|---|---|---|
| 2022W | 05.02.2023 | 17.02.2023 | ~2 weeks |
Work-load[Bearbeiten | Quelltext bearbeiten]
Homework takes 1-5 hours (depends on the Python skills) per week but is reasonable.
The Midterm exam is quite demanding in terms of work and should not be underestimated.
The Final (theoretical) exam is pretty difficult but just 10% of the final grade.
Tips[Bearbeiten | Quelltext bearbeiten]
Support is mainly provided by the lecturer via the Moodle forum and during Q&A sessions. So you have to use Google and Stackoverflow extensively.
Go through the homework solutions provided by the professor after each week to improve your code.