Modul

The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of each course of this module, whose sum of credits meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

The student

• understands and analyzes the central role of information as an economic good, a production factor, and a competitive factor,
• identifies, evaluates, prices, and markets information goods,
• evaluates informations flows and the value of information in an interdisciplinary context,
• works out solutions in teams,
• transfers models from Business Administration to situations in business whose basic conditions are changed due to the implementation of information and communication technology,
• applies methods from Business Administration (Decision theory, game theory, operations research, etc.) to questions of Information Engineering and Management,
• analyzes the potential to automize the decision making process in businesses by data bases,
• describes the process to extract relevant data for decision making from operational accounting systems.

The module Information Engineering and Management comprises the lectures Advanced Information Systems and Business Administration in Information Engineering and Management.

In the lecture Advanced Information Systems, a clear distinction of information as a production, competitive, and economic good is introduced. The central role of information is explained through the concept of the information lifecycle. The single phases from extraction/generation through storage transformation and evaluation until the marketing and usage of information are analyzed from the business administration perspective and the microeconomic perspective. The state of the art of economic theory is presented throughout the different phases of the information lifecycle. The lecture is complemented by accompanying exercise courses.

In the lecture Business Administration in Information Engineering and Management, classical Business Administration is applied to businesses in an information- and communicationtechnological environment. The process to extract relevant data for decision making from operational accounting systems receives special attention. In order to do so, topics such as activity-based costing and transaction costs models are addressed. The automization of the decision making process in businesses by data bases is another focus of the module. To solve such issues within a company, relevant methods such as decision theory and game theory are lectured. Finally, complex business relevant questions in a dynamically changing environment are adressed by presenting models and methods from system dynamics.