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Professional Competence
  • list methods of software engineering (e.g., waterfall model, agile methods)
  • list relational and object-oriented approaches to modeling (e.g., ERM, UML)
  • understand the elements of different modeling languages (e.g., ERM, UML)
  • understand key concepts of SQL
  • understand key concepts of object-oriented programming (e.g., classes, attributes, methods, relationships, inheritance)
  • create data and system models (e.g., ERM, UML)
  • perform normalization of database tables
  • write queries in SQL
  • write simple object-oriented programs
  • compare and contrast key programming structures (e.g., data structures, control structures)
  • identify best practices of software engineering and programming (e.g., design patterns, quality factors)
  • design object-oriented applications by applying the methods learned
  • choose appropriate methods for given tasks
Personal Competence
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Social Competence
  • nehmen Argumente von Mitstudierenden wahr und auf.
  • entwickeln in Gruppen und unter vorgegebenen zeitlichen Rahmenbedingungen eigenständig Lösungsvorschläge.
  • reflektieren ihre Ergebnisse und vergleichen die Lösungen mit ihren Mitstudierenden und der Realität.
  • nehmen neue oder alternative Lösungsansätze auf und verknüpfen diese mit eigenen Ansätzen
  • verstehen es Kritik zu reflektieren, diese anzunehmen und mit dieser umzugehen.
Methodological Competence
  • Know the central statistical techniques that are often used in business applications.
  • Understand the meaning of statistical notions.
  • Use the introduced concepts in a purposeful way, interpret the results in the context and formulate their conclusions correctly.
  • Use basic commands of the software package R to analyze data graphically and numerically.
  • Apply standard learning techniques in abstract contexts so that they get used to working with scientific publications on their own.
  • Analyze data to justify decisions in business applications.
  • Analyze business cases using methods of probability theory.
  • Can critically check the content of statistical results while planning economic actions.
  • Argue in a precise and rational way in their comments.
  • Strengthen their skills to argue rationally in a scientific environment.
  • Judge the relevance of statistical conclusions and their limitations correctly.
  • Judge arguments critically whether they are sound, reasonable and consistent.
  • Judge the uncertainties in statistical conclusions correctly.
Methodological Competence
  • können strategische Analysen durchführen.
  • kennen die wesentlichen Bestandteile und den Ablauf einer Case Study Methode und können diese auf konkrete Fallbeispiele aus dem strategischen Management anwenden.
  • sind in der Lage, strategische Ergebnisse zu verdichten und zu einer systematischen Strategieformulierung umzusetzen.
  • sind in der Lage, verschiedene strategische Optionen zu bewerten.
  • erlernen die Fähigkeit, professionelle und kreative Präsentationen zu erstellen und abzuhalten.
Professional Competence
  • kennen die wichtigsten Instrumente und Frameworks sowie den Prozess des strategischen Managements.
  • verstehen die wesentlichen Erfolgsfaktoren des strategischen Managements.
  • wenden Instrumente des strategischen Managements korrekt an.
  • sind in der Lage, eine konsistente strategische Konzeption zu erstellen und strategische Ziele zu formulieren.
  • bewerten Strategien und beurteilen deren Eignung in unterschiedlichen Situationen.
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
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
  • 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).
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