Module: Information Systems in Finance 1 (5304-430)
Note: Last updated September 2019.
Current module catalog in HohCampus.
- Persons:
-
- Prof. Dr. Stefan Kirn (verantwortlich)
- Degree Program:
-
-
Education for Business and Economics (Master, since 01.10.2009)
3. Semester, compulsory -
Education for Business and Economics (Master, since 01.10.2009)
1. Semester, compulsory -
Education for Business and Economics (Master, since 01.10.2009)
3. Semester, compulsory -
Education for Business and Economics (Master, since 01.10.2009)
1. Semester, compulsory -
Information Science (Master, since 01.10.2012)
3. Semester, semi-elective -
Information Science (Master, since 01.10.2012)
1. Semester, semi-elective
-
Education for Business and Economics (Master, since 01.10.2009)
- Relation to other Modules:
- Banking, Portfoliomanagement&Derivatives, Information Systems
- Prerequisites for Attendance:
-
none
- Sprache:
- German
- ECTS:
- 6 credits
- Frequency:
- every winter semester
- Length of the Module:
- 1 semester
- Final examination:
- written exam
- Length of the examination:
- 120 minutes
- Workload:
-
180 Stunden 56 Präsenzstudium 124 Stunden Selbststudium
- Professional competences:
-
Students possess an in-depth understanding of specific characteristics of information systems in the banking and insurance sector, as well as credit rating of mid-sized companies. Their know-how includes an understanding of knowledge intensive decision making problems in these fields . They have knowledge about models and methods in the fields of credit rating, business intelligence and information retrieval to support these decisicons. They are in a good position to evaluate, apply and validate different methods for rating, data mining and text classification.
Courses
Code | Title | Type | Bindingness | Course catalogue |
---|---|---|---|---|
5304-431 | Information Systems in the Banking and Insurance Sector | lecture | semi-elective | |
5304-432 | Credit-Rating for Small and Medium-Sized Businesses | lecture | compulsory |
|
5304-631 | Data Mining in Finance | lecture with exercise | semi-elective |
|