Advanced Data Science Lab I (Network Science)
IS 808 Lab Exercise (Center for Doctoral Studies in Business)
| Lecturer | Prof. Dr. Markus Strohmaier |
| Course Format | Exercise |
| Course Type | Core course |
| Offering | HWS |
| Credit Points | 6 ECTS |
| Language | English |
| Grading | Term paper (90%), presentations(10%) |
| Information for Students | The course is limited to 15 participants. You can find the Portal2 course here. |
Bild: Katrin Glückler
Course Information
Course Description
The focus of this lab will be on analyzing relational data, for example complex phenomena and systems, using techniques and methods from the domain of network science. The students will present their results and write a paper about their research.
Objectives
The goal of this lab exercises is to guide students through the typical steps of a scientific data-science project from problem formulation to data acquisition, selection of methods, analysis and presentation / documentation. Students will be equipped with practical experience with conducting scientific data-science projects. They will train their presentation skills, learn to communicate in research projects and receive feedback.