Advanced Data Science Lab I (Network Science)

IS 808 Lab Exercise (Center for Doctoral Studies in Business)

LecturerProf. Dr. Markus Strohmaier
Course FormatExercise
Course TypeCore course
Credit Points6 ECTS
GradingTerm paper (90%), presentations(10%)
Information for Students

The course is limited to 15 participants. You can find the Portal2 course here.

Prof. Dr. Markus Strohmaier

Prof. Dr. Markus Strohmaier

Chair for Data Science in the Economic and Social Sciences
University of Mannheim
Business School

L 15, 1–6
68161 Mannheim

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.