Data Science Lab - NUPA029

• Title: Data Science Lab
• Guaranteed by: University of Passau (32-PASSAU)
• Faculty: Faculty of Mathematics and Physics
• Actual: from 2025
• Semester: winter
• E-Credits: 6
• Hours per week, examination: winter s.:0/4, Ex [HT]
• Capacity: unlimited
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Guarantor: prof. Stefanie Scherzinger, Ph.D.
• Teacher(s): prof. Stefanie Scherzinger, Ph.D.
• Incompatibility : NDBI048
• Interchangeability : NDBI048
• Is incompatible with: NDBI048
• Is interchangeable with: NDBI048

Annotation

University of Passau - Code: 482604; Lecturer: Granitzer; Course content: Students will work in groups on selected data science specific problems, like for example extracting communities from social networks, clustering web pages, analyzing trends in social media or identifying mobility patterns. Students will be given a small research projects in the form of an analysis goal, a data set and a target metric. The research project will be conducted in four phases, supervised by the lecture. In every phase, one team member takes the responsibility.

Last update: Holubová Irena, doc. RNDr., Ph.D. (06.03.2025)

Literature

The literature will be selected and announced depending on the specific task.

Last update: Holubová Irena, doc. RNDr., Ph.D. (06.03.2025)