Interactive Teaching Materials
These interactive notebooks are built with marimo, a reactive Python notebook environment. They run entirely in your browser using WebAssembly - no installation required. Feel free to explore, modify, and experiment with the code.
Datenmanagement & -analyse (DMA)
Session 1: SQL-Grundlagen
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Session 1: SQL-Grundlagen — Lösungen
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Session 2: SQL für Datenexploration
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Session 2: SQL für Datenexploration — Lösungen
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Session 3: Aggregation & Gruppierung
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Session 4: CRISP-DM & Fallstudien
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Session 5: Datenmodellierung
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Session 6: Relationales Modell & Transformation
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Session 7: Normalisierung
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Session 8: JOINs
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Session 9: Subqueries, Views & Transaktionen
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Session 10: Explorative Datenanalyse
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Session 11: Statistische Inferenz & A/B-Tests
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Session 12: Zeitreihenanalyse
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Session 13: Textanalyse
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D3 in Practice (D3)
↑ TopPlanen und Entscheiden (PuE)
Übung 1: Grundlagen der Entscheidungstheorie
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Übung 2: Deskriptive Entscheidungstheorie
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Übung 3: Lineare Programmierung — Grafische Lösung
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Analytical Information Systems (AIS)
T01: SQL Exercises
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T02: Data Integration & Quality
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T03: Visualization & BI
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T04: Capstone — Data to Dashboard
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T05: Supervised Learning
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Information Systems (IS)
↑ TopOptimization in Practice (OIP)
Sensitivity Analysis
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NW Petroleum
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FCC Supply Chain
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Bavarian Motor Company
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The Perfect Blend
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Cafe Emergency Exit
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Coffee Demand Regression
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Cafe 2.0
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Cafe Rostering Basic
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OIP WLP Base
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Santa TSP MTZ
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Integer Programming
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Media Planning Optimization
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