Der Kurs deckt grundlegende Methoden des data mining, der explorativen Datenanalyse und der Visualisierung ab. Der Fokus liegt auf Anwendungen auf Bildungsdaten (sog. 'educational data mining' oder 'learning analytics'). Beispielmethoden sind:
ENGLISH VERSION:
The course covers foundational methods of data mining, explorative data analysis, and visualization. The focus is on educational data (so-called 'educational data mining' or 'learning analytics'). Example methods are:
Nützlich: Neuronale Netze und Lernen, Bildverarbeitung, Vertiefung Mathematik
Querbezüge zu: Information Visualization, Introduction to Machine Learning, Mustererkennung bzw. Musterklassifikation
Frequency | Weekday | Time | Format / Place | Period | |
---|---|---|---|---|---|
weekly | Di | 14-16 | 07.10.2024-31.01.2025 |
Module | Course | Requirements | |
---|---|---|---|
39-Inf-DM Grundlagen Datamining | Grundlagen Datamining | Student information | |
39-Inf-WP-DS Data Science (Basis) | Begleitende Übungen (Alternative) | Student information | |
39-Inf-WP-DS-x Data Science (Schwerpunkt) | Begleitende Veranstaltung Seminar o. Übung | Student information | |
39-M-Inf-AI-bas Basics of Artificial Intelligence | Basics of Artificial Intelligence: Übung | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.