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Instructors: Prof. Dr. rer. pol. Oliver Hinz
Event type:
Lecture
Org-unit: Dept. 01 - Law and Economics
Displayed in timetable as:
vl_SNA
Subject:
Crediting for:
Hours per week:
2
Language of instruction:
German and English
Min. | Max. participants:
- | -
Course Contents:
This course is designed to introduce students to the practical application and theo-retical foundations of IT systems that support managerial decision making. It covers Decision Support Systems (DSS) and Business Intelligence (BI) and has a focus on both benefits and limitations of corresponding IT systems. The course provides insights into concepts behind decision making, the various phases of the decision making process and DSS/BI concepts. Furthermore, there it provides an introduction to selected data mining techniques such as decision trees, artificial neural networks (ANN), and support vector machines (SVM). The course addresses practical issues of complex decisions and explores dataset requirements, time restrictions and computational requirements of different approaches.
Preconditions:
Electronic Markets
Volkswirtschaftslehre I
Further Grading Information:
After the courses the students are able to
- understand how social embeddedness influences economic decision making.
- evaluate the value of information on social relationships.
- understand the mechanisms of social contagion.
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