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Learn the latest econometric methods to analyse network data

Students will learn how to analyse the role of networks in various social and economic environments.

Networks play an increasingly dominant role in many social, business, and economic environments. Moreover, network data becomes increasingly important and available due to the rise of online social media and digitization. 

The online course will combine online lectures with hands-on empirical and programming exercises.

Course Overview

  • Entry requirements
  • Course dates: between 6-17 January 2025 (exact dates TBC)
  • Attendance: online only
  • Course level: master's students, PhD candidates, and professionals from all disciplines
  • See the course curriculum
  • Coordinating lecturer: Michael D. König
  • Forms of tuition: online lectures and tutorials
  • Language of tuition: English
    Please note: a student is expected to have a high level of English proficiency for this course (at least equivalent to IELTS 6.5 / Level B2)
  • Forms of assessment: exercises and assignments 
  • Equivalent to 2 ECTS
  • Contact hours: 20 (3 days)
  • Self-study hours: 36

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  • Esther
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