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312952 Introduction to Natural Language Processing with Python (S) (WiSe 2023/2024)
Short comment
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Prerequisites and application
The course is intended for beginners without prior Python knowledge. However, to ensure a level playing field, you are required to solve one basic task prior to the course, following five steps:
1. Install Python and Jupyter Notebook on your computer. I suggest using Mini Conda, as it requires less disk space. There ample step-by-step online tutorials that show you how to do it.
2. Import some basic Python libraries: Pandas, Numpy and Matplotlib. You may need to import more later on.
3. Import a data file of your choice (e.g., csv or excel) using the Pandas library.
4. Create a visualisation of your choice using the Matplotlib library. The title of the plot should include the name of this course ("NLP for beginners").
5. Save your solution as a notebook (.ipynb) and submit it via email until November 19, 2023 (12 p.m.).
Contents, comment
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Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| einmalig | Mo | 10-12 | X-E0-209 | 27.11.2023 | |
| einmalig | Fr | 10-12 | X-E0-228 | 01.12.2023 | |
| einmalig | Mo | 10-12 | VHF.01.211 | 04.12.2023 | |
| einmalig | Fr | 10-12 | X-E0-226 | 08.12.2023 | |
| einmalig | Mo | 10-12 | X-E0-204 | 11.12.2023 | |
| einmalig | Fr | 10-12 | U2-210 | 15.12.2023 |
Subject assignments
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Economics and Management (BiGSEM) / Promotion | Economics; Electives | 4 | |||||
| Economics and Management (BiGSEM) / Promotion | Finance; Electives | 4 | |||||
| Economics and Management (BiGSEM) / Promotion | Management; Electives | 4 |
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- E-Learning Space
- E-Learning Space
- Registered number: 12
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Limitation of the number of participants:
- Limited number of participants: 20
- Address:
- WS2023_312952@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_436146373@ekvv.uni-bielefeld.de
- Coverage:
- 11 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 1
- Open email archive
- Last update basic details/teaching staff:
- Friday, September 1, 2023
- Last update times:
- Friday, September 22, 2023
- Last update rooms:
- Friday, September 22, 2023
- Type(s) / SWS (hours per week per semester)
- Seminar (S) / 1
- Language
- This lecture is taught in english
- Department
- Fakultät für Wirtschaftswissenschaften
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