Skip to Main Content
Sign In
Social Competence
  • Perceive and prescind thoughts and arguments from fellow students during class discussions.
  • Work jointly in groups on the solution of case studies.
  • Evaluate the results of fellow students compared to their own results.
  • Perceive new or alternative methods of resolution of fellow students and interrelate those to their own.
  • Represent and defend their own solution against criticism.
Methodological Competence
  • Describe the fundamental aspects of start-up compared to corporate entrepreneurship.
  • Define and interpret the prerequisites of these strategies.
  • Apply fundamental models of (Corporate) Entrepreneurship towards new situations.
  • Compare alternative models and approaches of (Corporate) Entrepreneurship, identify similarities and differences.
  • Determine different strategies and approaches of (Corporate) Entrepreneurship and evaluate those.
  • Judge if certain models resp. approaches of (Corporate) Entrepreneurship are applicable in concrete situations and choose the most appropriate ones.
Professional Competence
  • Know the relevant building blocks of Entrepreneurship & Family Firm Research, Corporate Entrepreneurship and Innovation Management and their instruments; know how to measure Corporate Entrepreneurship related to its performance advantages; know the concepts on how to create a company with the spirit of Corporate Entrepreneurship.
  • Understand the most important influencing factors for taking entrepreneurial decisions in either new or established enterprises, as well as in family firms.
  • Apply the instruments of (Corporate) Entrepreneurship correctly under different contexts.
  • Identify the constitutive influencing factors on entrepreneurial behavior and endeavors, regardless of company type, firm or size.
  • Develop appropriate entrepreneurial strategies according to the respective firm type and environment.
  • Evaluate entrepreneurial strategies and their applicability in different market situations.
Personal Competence
  • Perceive their own learning ability and willingness to learn.
  • Communicate independently, reflect on their own behavior and carry out an appropriate self-assessment.
  • Take on responsibility through self-discipline, flexibility and target orientation.
  • Are characterized by their full commitment, duteousness and reliability.
  • Represent their independence and self-motivation and thereby positively influence their determination to be top performers.
Social Competence
  • Understand the oral presentation by the lecturer (input, questions and solutions) and pay attention to the remarks of their fellow students.
  • Operate partly in partner work on solutions to exercises given by the lecturer, as well as in group work in self-study.
  • Assess suggestions for solutions by fellow students, evaluate their own approaches to solutions (ability to criticize).
  • Distinguish themselves through capacity for teamwork, communication skills and cooperation skills.
  • Represent and justify their own approaches to solutions during criticism by the lecturer or fellow students (ability to accept criticism).
Methodological Competence
  • explain the framework of statistical reasoning.
  • judge the benefits and limits of statistical methods and conclusions.
  • summarize the results and conclusions of statistical analyses in a precise way.
  • select statistical procedures according to given situations and questions.
  • apply standard techniques in new situations and adapt the procedures.
  • appraise the content and the limits of statistical analyses in publications.
Professional Competence
Lecture Series ''Testing and Estimating''

  • represent the distributions of random variables graphically.
  • calculate moments of random variables and interpret them in a given context.
  • explain the framework of testing hypotheses and estimating parameters.
  • apply basic testing and estimating procedures and generalize the conclusions correctly.
  • criticize the assumptions of basic testing and estimating procedures.
  • derive the minimal sample size for basic testing and estimating procedures.

Lecture Series ''Multiple Linear Regression''

  • apply the ordinary least squares method to derive estimators.
  • analyze and compare the statistical properties of estimators.
  • explain the classical linear model assumptions.
  • run the calculations of a multiple linear regression for toy examples with small data sets by hand.
  • interpret the software outputs of multiple linear regression for application examples in the given context.
  • use model diagnostics to check the assumptions and to judge the quality of adapted models.
  • apply inference procedures in multiple linear regression models.
  • compare the advantages and disadvantages of different inference procedures.
  • construct testing procedures for multiple linear constraints in multiple linear regression models.
  • apply specification techniques to improve the quality of models.
  • apply selection techniques to choose appropriate models.
Personal Competence
  • Ein persönliches Veränderungsprojekt erfolgreich meistern.
  • Die emotionale Seite im Rahmen persönlicher Veränderungsprojekte verstehen lernen.
  • Die Wechselwirkung zwischen persönlicher und organisatorischer Veränderung erkennen und damit umgehen lernen.
Social Competence
  • Wirksame Teams für Veränderungsprojekte zusammenstellen.
  • Kollektive Lernprozesse in Organisationen fördern.
Methodological Competence
  • Instrumente des Change Managements auf konkrete Fallbeispiele anwenden.
  • Kritische Erfolgsfaktoren in der Organisationsentwicklung identifizieren und anwenden.
Subscribe to