80 lines
5.0 KiB
Markdown
80 lines
5.0 KiB
Markdown
---
|
|
title: Time Table - Note
|
|
short_desc:
|
|
tags:
|
|
- Note
|
|
- Vorlesung
|
|
- Uni
|
|
- Work
|
|
timestamp: 24.09.2025 - 11:51
|
|
path:
|
|
public: true
|
|
update: true
|
|
editor: markdown
|
|
uuid: "1758707464213"
|
|
feature: thumbnails/external/89b30361e78c63dafa937dce92b1f550.svg
|
|
---
|
|
|
|
|
|
# Time Table
|
|
**Every Friday from 15-16.30h**
|
|
|
|
| Datum | Thema |
|
|
| ------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------- |
|
|
| [[24.10.2025]] | Organisation |
|
|
| 31.10.2025 | entfällt |
|
|
| [[07.11.2025]] | Tutorial 1 - Printing, Datatypes & Variables, Sequentials, Functions, Conditionals, Conditional Loops, Sequential Loops |
|
|
| [[14.11.2025]] | Tutorial 2 - Hash Tables, Error Handling, System Interactions, Modularization, Dataclasses |
|
|
| [[Documents/Arbeit/IFN/Programmieren WiSe 25 26/Vorlesungen/21.11.2025\|21.11.2025]] | Extended Applications - Functions, Generators, Dataclasses, Built-In Modules, Syntax Styling PEP8, Working with AI |
|
|
| [[Documents/Arbeit/IFN/Programmieren WiSe 25 26/Vorlesungen/28.11.2025\|28.11.2025]] | Matplotlib - Plotting basics<br>NumPy - Multidimensional Arrays, Random Numbers, Efficient Computing |
|
|
| [[05.12.2025]] | SciPy - Distributions, Generating & Sampling Data |
|
|
| [[12.12.2025]] | Simulation - Monte Carlo, Generating Data |
|
|
| [[19.12.2025]] | Pandas - Dataframes, Series, Dataclasses |
|
|
| 26.12.2025 | entfällt |
|
|
| 02.01.2026 | entfällt |
|
|
| [[09.01.2026]] | Statistical Test Methods - T-Test, Correlations |
|
|
| [[16.01.2026]] | Data Analysis - Demo Project |
|
|
| [[23.01.2026]] | Folium - Maps, Markers, HTML |
|
|
| [[30.01.2026]] | Data Analysis - Demo Project |
|
|
| [[06.02.2026]] | Projects |
|
|
| 19.02.2026 | Prüfung (Termin unter vorbehalt) |
|
|
| 20.02.2026 | Prüfung (Termin unter vorbehalt) |
|
|
|
|
---
|
|
|
|
Ideen:
|
|
- Stock Market Simulation (Animal Crossing)
|
|
- Gini Index
|
|
938-828
|
|
791-748
|
|
|
|
|
|
|
|
```python
|
|
gain_week = [
|
|
rand.uniform(-2.5, 2.5, sims)
|
|
for _ in range(7)
|
|
]
|
|
|
|
|
|
duration = np.zeros(sims)
|
|
for gain in gain_week:
|
|
duration += gain
|
|
duration += men
|
|
|
|
gain_percent = float(
|
|
np.round((duration < avg_weight-3).sum()/sims, decimals=2)
|
|
)
|
|
|
|
plt.figure(figsize=(10,5))
|
|
plt.hist(duration, density=True)
|
|
plt.axvline(avg_weight-3, color='r')
|
|
plt.show()
|
|
print(gain_percent)
|
|
```
|
|
|
|
|
|
$$\text{Birth Rate} = \frac{B}{P} * 1000$$
|
|
|
|
|