Praktikum Big Data Science
- Aktuelles
- Beschreibung
Big Data and Data Science gain increasing attention and significance, as they are discovered by scientific and economic domains. Today Data Science and Big Data advance into various facets of our daily life. The purpose of this practical course is to make the students familiar with the practical approach of Big Data applications and Data Science. By learning the handling with state-of-the-art Big Data tools the core concepts of the Big Data process are conveyed.
In particular, the students will work on Deep Learning approaches in various different data domains, including image, text, point clouds and graphs. Besides the aspects of data-driven analysis, this course aims to foster the practice of agile project management methods and the application of software engineering techniques. Furthermore, this course targets the responsible and efficient handling of limited resources.
Eligibility Requirements
As the lab course will cover several advanced topics in data science and big data analytics, successful participation in at least two of the following lectures or similar prior experience is recommended:
- Knowledge Discovery in Databases I
- Knowledge Discovery in Databases II
- Machine Learning
- Deep Learning
The lab course requires skills and experience in programming and software engineering. It is beneficial to be experienced with
- git (also GitLab)
- Linux Server (using a shell, ssh)
- Python (in particular numpy, pandas, sklearn, pytorch)
Please explain in the form how you meet the requirements and describe relevant practical experience.
- Institut
- Institut für Informatik
- Dozent:in
- Assistent:innen
- Kursteilnehmer:innen
- 28 von 30
- Zentralanmeldung
- Masterpraktika
- Anweisungen zur Bewerbung
Please explain how you meet the requirements and describe relevant practical experiences in the following
- Material
Das Kursmaterial ist nur für Mitglieder des Kurses einsehbar, also z.B. für Teilnehmer:innen, Tutor:innen, Korrektor:innen und Verwalter:innen.
- Prüfungen
- Termine