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Personal Competence
  • learn to be initiative, curious and self-reflected
  • learn to appreciate and apply different methodological approaches
Social Competence
  • can listen actively and are curious
  • understand different points of view of research designs (literature analysis, qualitative and quantitative methods)
Methodological Competence
  • understand and implement the presented/taught instruments, i.e. approaches in various situations
  • summarize and evaluate various research approaches
Professional Competence
  • know the most appropriate research designs and instruments, i.e. approaches in the methodology area
  • understand the relevant influencing factors of research decisions
  • learn how to plan and conduct literature analyses as well as empirical research (qualitative and quantitative analyses)
Technology Competence
  • use "Excel" as a software to analyse financial data
  • apply the methods learnt within a software
Personal Competence
  • understand and critically discuss the arguments of fellow students
  • understand the flaws and problems of fellow students, reaction without offense
  • reflect and question their own research philosophy
  • acknowledge the importance of diversity in academic thinking
Social Competence
  • listen carefully, read and repeat, practice until they understand the logic and mathematics behind models
  • work together and motivate peers who tend to give up as a reaction to the difficulty of mathematical problems
  • take responsibility and organize/explain their solution to others who have problems and tend to give up
Methodological Competence
  • know how to gather and analyse data
  • critically reflect on assumptions underlying specific statistical methods/models
  • find suitable approaches to statistically address given research questions
  • interpret empirical/statistical findings prudently
  • are able to formulate testable hypotheses
  • can choose and motivate appropriate data collection methods for given research objectives
  • are able to choose and motivate appropriate sampling strategies for given research objectives
Professional Competence
  • know how to conduct financial research and analysis
  • know and learn to use specific financial databases
  • name and understand descriptive statistics that are of relevance in financial research
  • learn and understand the properties of linear regression and time series analysis
  • understand and explain the different designs of qualitative and quantitative research
Technology Competence
siehe Modulbeschreibung
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