Descriptive Statistics: Graphical representations, calculation of relevant measures of central tendency etc., also by using a computer; application of methods for large data sets, analysis and comparison of results, critical discussion and evaluation of methods and their use in scientific projects and business practice
Probability theory: important laws, dependent probabilities, Bayes Rule; application to practical problems
Use and application of probability distributions , as e.g. Binomial and Normal distribution to Management and Engineering problems
Methods of inferential statistics: confidence intervals: theoretical background and applications; hypothesis testing: theoretical background and application to business problems; regression analysis: theoretical background and application in research practice.
Operations Research
Linear Programming: Modelling business decision situations, solving problems by Simplex method and by using software, theoretical background of Simplex procedure, Dual Simplex procedure and blocked variables, special cases (degeneracy etc.); sensitivity analysis and interpretation
Transportation planning: Modellung transportation and transshipment problems in global networks; Solving transportation problems using software
Network Optimization problems: modelling production and transportation networks, solving planning problems in networks, Network Planning as a research topic
Integer Programming: Models using integer variables, e.g. in location decisions, branch and bound procedure
Performance accreditation:
611 - Quantitative Methods - Statistics and Operations Research<ul><li>611 - Quantitative Methods - Statistics and Operations Research: Klausur schriftlich</li></ul><br>613 - Quantitative Methods - Statistics and Operations Research<ul><li>611 - Quantitative Methods - Statistics and Operations Research: Klausur schriftlich</li><li>811 - Quantitative Methods - Statistics and Operations Research - Midterm: Midterm</li><li>813 - Quantitative Methods - Statistics and Operations Research - Exercises: Excercises</li></ul>