Social Media Research - Einzelansicht

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

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

Please install R and R studio before the session on Mon 09.12. Students are assummed to complete exercises in R on their own laptops.

In-class assignments and written exam.

Initially, the course is worth 12 ECTS. If you wish, we can award you less (6 or 9 ECTS) for regular participation.

Erasmus students will get a  Course Completion Certificate (Leistungsnachweis) which they can forward to the International Office or Home University.

The first session of this course will take place on the 21.Oct at 14:15.

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 21.10 Introduction (Prof. Hanna Krasnova | Olga Abramova)

Mon 28.10 Qualitative Data Analysis Module (Prof. Hanna Krasnova)

Mon 04.11 Qualitative Data Analysis Module (Prof. Hanna Krasnova)

Mon 11.11 Qualitative Data Analysis Module (Prof. Hanna Krasnova)

Mon 18.11 Qualitative Data Analysis Module (Prof. Hanna Krasnova)

Mon 25.11 Qualitative Data Analysis Module (Prof. Hanna Krasnova)

Mon 02.12 Qualitative Data Analysis Module (Prof. Hanna Krasnova)

Mon 09.12 Data Analysis using R Module (Olga Abramova) - please install R and R studio before the session!

Mon 16.12 Data Analysis using R Module (Olga Abramova)

Mon 06.01 Data Analysis using R Module (Olga Abramova)

Mon 13.01 Data Analysis using R Module (Olga Abramova)

Mon 20.01 Data Analysis using R Module (Olga Abramova)

Mon 27.01 Data Analysis using R Module | Exam Review (Prof. Hanna Krasnova | Olga Abramova)

Mon 03.02 – Exam (90 min)