infMPAIDS-01a: Masterprojekt - Data Science and Data Mining (infMPAIDS-01a) (080129)- Dozentinnen/Dozenten
- Prof. Dr. Matthias Renz, Nelson Tavares de Sousa, M.Sc., Yannick Wölker, M.Sc.
- Angaben
- Übung, 4 SWS, ECTS-Studium, ECTS-Credits: 10
Zeit und Ort: Do 15:00 - 16:00, CAP4 - R.1110
Vorbesprechung: 12.4.2023, 14:00 - 15:00 Uhr, Raum CAP4 - R.715
Bemerkung zu Zeit und Ort: Temine nach Absprache
- Voraussetzungen / Organisatorisches
- Good programming skills, preferably in Python. Knowledgable in basic data structures and algorithms (search, sort, ...).
Prior knowledge in methods of one or more of the following topics: data mining, machine learning, similarity search, knowledge discovery, ideally achieved in corresponding lectures.
In small teams, students will get hands-on practice in implementing and applying Data Science methods with focus on data management, data mining, machine learning, similarity search, knowledge discovery among others. Targeted projects are oftern emedded in an interdisciplinary environment. This module is mainly addressing students who want to get practice on applying and developing methods they learned in the corresponding lectures. Ideally, students take this module as continuation of one or more former lectures in the above mentioned fields.
Successful participation in Data Science and/or Knowledge Discovery and Data Mining is required.
- Inhalt
- Relevance Search in Heterogeneous Information Networks
- with temporal augmentations
- with spatial augmenations
- with a focus on /efficient/ solutions and indexing structures
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 10
infSemDaSci-01a: Master Seminar - Data Science (infSemDaSci-01a) (080080)- Dozentinnen/Dozenten
- Prof. Dr. Matthias Renz, Yannick Wölker, M.Sc., Nelson Tavares de Sousa, M.Sc.
- Angaben
- Seminar, 2 SWS, ECTS-Studium, ECTS-Credits: 5
Zeit und Ort: Blockveranstaltung 22.5.2023-10.7.2023 Mo 14:15 - 15:45, CAP4 - R.715
Vorbesprechung: 11.4.2023, 14:00 - 16:00 Uhr, Raum CAP4 - R.1110
Bemerkung zu Zeit und Ort: Durch den Ostermontag findet das Kick Off / die Themenvergabe am Dienstag, 11. April 2023 statt!
- Voraussetzungen / Organisatorisches
- Die erst genannte Person ist für organisatorische/technische Fragen zuständig!
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 10
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