Note: all our courses are taught online this year.
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. This course offers a concise introduction into the most recent econometric methods developed for processing, visualizing and learning from network data. The course will combine online lectures with hands-on empirical and programming exercises.
|Course days||11-15 January 2021|
|Course level||Advanced undergraduate and graduate students, PhD candidates, data scientists and professionals from all disciplines|
|Coordinating lecturer||Michael König|
|Forms of tuition||Online lectures and integrated exercises|
|Forms of assessment||Data and programming exercises|
|Contact hours||20 hours|
|Tuition fee||Read all information about our tuition fees and what's included here
|How to apply||Find our application form here