Inhalt
As the adoption and usage of social applications is on the rise (e.g. Facebook, Airbnb, Twitter, PatientsLikeMe), there is a growing interest in understanding behavior and perceptions of users, as well as the impact of this use on businesses, public sector and society as a whole. Against this background, the goal of this class is to empower students with a set of research approaches and methods that can be used to understand this phenomenon. Among others, course participants will be trained to collect and analyze qualitative and quantitative data that reflects usage patterns and perceptions of users of various social applications. This course may serve as a sound methodological preparation for a master thesis or a seminar at the chair of Business Informatics, esp. Social Media and Data Science.

The class will follow the following schedule
Mon 22.10 Introduction (Prof. Hanna Krasnova | Olga Abramova)
Mon 29.10 Qualitative Data Analysis Module (Prof. Hanna Krasnova)
Mon 05.11 Qualitative Data Analysis Module (Prof. Hanna Krasnova)
Mon 12.11 Qualitative Data Analysis Module (Prof. Hanna Krasnova)
Mon 19.11 Qualitative Data Analysis Module (Prof. Hanna Krasnova)
Mon 26.11 Qualitative Data Analysis Module (Prof. Hanna Krasnova)
Mon 03.12 Qualitative Data Analysis Module (Prof. Hanna Krasnova)
Mon 10.12 Data Science Module (Olga Abramova)
Mon 17.12 Data Science Module (Olga Abramova)
Mon 07.01 Data Science Module (Olga Abramova)
Mon 14.01 Data Science Module (Olga Abramova)
Mon 21.01 Data Science Module (Olga Abramova)
Mon 28.01 Data Science Module | Exam Review (Prof. Hanna Krasnova | Olga Abramova)
Mon 04.02 – Exam (90 min)


Teilnahmevoraussetzungen
Interest in research methods and Social Media. This class is limited to 50 students. The class will be held in English.


Literatur
Collis J. and Hussez, R. (2009) "Business Research: A Practical Guide for Undergraduate and Postgraduate Students“.