After successful completion of the course, students are able to:

• conceptualize management control systems via MGT activity diagrams
• use ontological and linguistic meta-modeling techniques for conceptual modeling
• model maturity assessment and monitoring systems in the Enterprise Risk Management (ERM) context and to understand their IT implementation
• model accounting and management control systems in the OntoUML-langauge
• apply meta-modeling techniques for establishing a domain specific language (DSL) in the Plan-Do-Check-Act management context
• use predictive analytics methods for sales forecasting in the software package R
• model and develop a flexible Cost-Volume-Profit (CVP) budgeting tool in R
• model and develop a cybernetic budget management tool in R

• Management  Control Systems (MCS) and it‘s Meta-Modeling
• Management Control Systems (MCS) as a Package – Ontological and Linguistic Meta-Modeling
• Maturity Assessment and Monitoring (MAM): Conceptual Design
• Maturity Assessment and Monitoring (MAM): Web-based Implementation
• Business Cycle (BS)-based Sales Forecasting: Level- vs. Growth-BS-Modeling
• Latent Variable Analysis: From Regression Analysis to Structural Equation Modeling
• Ontology-based Modeling of the Accounting and Finance Domain
• PDCA Management Systems: Meta-Modeling and Domain Specific Languages (DSL)
• Flexible Cost Volume Profit (CVP)-Budgeting under Uncertainty
• Management of CVP-Budgets under Uncertainty

Constructivist teaching methodology

• Midterm and final exam with calculation & case examples and multiple-choice questions
• Preparation for the lecture via reading assignments and homeworks
• Project work
• Participation in class
• Case presentations and discussions in the lecture