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Professional Competence
  • Know the responsibilities, functions and methodology of external controlling and reproduce differences from strategic controlling.
  • Understand operative controlling as an opportunity for financial steering of the company, while considering a previously executed indicator analysis in the fields of, liquidity, stability and profitability.
  • Apply viable instruments of operative controlling in cases concerning concrete issues and compile cash-flow statements, income budgets, finance plans and budgeted balance for companies with a forward-thinking approach to its management.
  • Analyze annual accounts of companies by means of selected financial ratios on liquidity, stability and profitability and draw the right conclusion from the analysis of key indicators.
  • Develop proposals for solutions to given problems (e.g. on overcoming liquidity shortfalls, towards debtor management, towards income optimization etc.), respectively based on arising problems on the part of fellow students in the course concerning special areas of controlling (e.g. investment controlling).
  • They are able to demonstrate ongoing control over the financial and liquidity situation of a case and to correct mistakes in the plans immediately.
  • Evaluate instruments of operational controlling on their advantageousness or practicability and can recognize and describe interconnections between accounting and other subjects.
Personal Competence
  • Internalize the use of standard learning and working techniques to learn on their own.
Social Competence
  • Cooperate while working out problems or while preparing themselves for the final exam.
  • Formulate the findings from the analyses of empirical data using the terminology made available to them, to indicate the degree of uncertainty in the conclusions correctly.
  • Are able to argue in a rational and controversial way in a scientific environment and include different points of view in their considerations.
Professional Competence
  • Know about the roles of quantiles, variances, standard deviations and correlations to measure risks.
  • Know the axioms of a discrete probability space.
  • Know the most important distributions and their properties.
  • Know the importance of the central limit theorem.
  • Can describe univariate and bivariate data according to the level of scale using numerical measures and graphical representations.
  • Can explain the content of the axioms of a discrete probability space while modelling a random experiment.
  • Use the law of large numbers to interpret a probability as a relative frequency in the long run.
  • Can explain why and when a certain distribution is used to model economic situations.
  • Can name the basic idea of testing hypotheses referring to the possible types of errors.
  • Name the basic ideas of standard testing procedures.
  • Calculate the critical values in the decision rules of binomial tests.
  • Can explain the meaning of confidence intervals and indicate the duality between confidence intervals and testing hypotheses.
  • Use the principle of ordinary least squares to estimate the parameters of a regression model.
  • Run simple linear regressions, set up the ANOVA-table and judge the residual plot.
  • Calculate probabilities using addition rules, decision trees and combinatorics.
  • Can explain the results of Bayes' theorem.
  • Use limits theorems to approximate distributions and probabilities.
  • Use calculations rules for expectations and variances correctly and can explain their meanings in the context of risk measuring.
  • Calculate the critical values of binomial tests and the resulting probability of a type 2 error.
  • Evaluate the test statistics of standard procedures, read the corresponding critical values from statistical tables and formulate the conclusion of the testing procedure correctly in the given context.
  • Calculate confidence intervals and interpret them correctly in a given context.
  • Interpret measures as quantiles, variances, standard deviations, correlations, skewness, curtosis correctly.
  • Use the vocabulary introduced to them to describe graphical representations correctly and include the advantages and disadvantages of such representations while interpreting them.
  • Judge the certainty or uncertainty of statistical conclusions and formulate their interpretations accordingly.
  • Judge the practical relevance of a linear regression in the given context.
  • Judge the uncertainty in the conclusions from statistical testing procedures correctly.
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 within self-study.Assess suggestions for solutions from fellow students, evaluate their own approaches to solutions (ability to criticize).Distinguish themselves through capacity for teamwork, communication skills and ability to cooperate.Represent and justify their own approaches to solutions during criticism by the lecturer or fellow students (ability to accept criticism).
Methodological Competence
  • Reproduce accounting techniques in terms of posting records together with balance sheet and income representations.Understand the work techniques of accounting, as well as the meaning of subject-specific forms of expression and are able to reconstruct the underlying situation when posting records (reading of posted records).Are able to solve accounting problems, execute measures leading to effects on the fiscal and commercial income, calculate values for income based taxes and adjustments of tax bases, utilize different valuation methods and create a detailed end-of-year report.Analyze concrete situations for their relevance to financial accounting and compare alternative posting or income recognition techniques.Record the two income recognition techniques and accounting on a cash basis as two different concepts of income recognition.Evaluate and assess their own work based on jointly compiled or given solutions
Professional Competence
  • Know the tasks, functions and methodology of accounting and report on effects of booking records. Understand accounting as a supplement in the context between commercial and tax provisions, and are able to explain differences between financial statements of different legal forms of businesses (individual companies, partnerships, corporations).Analyze concrete situations for their relevance to accounting, identify valuation problems in the scope of fixed assets, current assets, deferrals, accruals and liabilities. Develop proposals based on given problems or based on questions arising on the part of fellow students in the bookkeeping and accounting course.Assess different accounting techniques concerning their advantageousness or practicality and are able to recognize and describe interconnections between accounting and other subjects.
Personal Competence
  • organisieren ihren Forschungsprozess (Literatursuche, Sichten, Ordnen, Schreiben)
  • können sich in Phasen der Überforderung auf die wesentlichen nächsten Schritte konzentrieren.
Social Competence
  • vermitteln anderen Studierenden die wesentlichen Punkte ihres Thesisprojekts
  • geben Feedback und unterstützen damit andere Studierende bei deren Exposé-Entwicklung
  • nehmen kritisch Stellung zu anderen Arbeiten, ohne dabei abwertend zu agieren.
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