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This entry is from Winter semester 2019/20 and might be obsolete. You can find a current equivalent here.
CS 588 — Advanced Module Model-Based Decision Support, Business Intelligence & Analytics
(dt. Aufbaumodul Modellbasierte Entscheidungsunterstützung, Business Intelligence & Analytics)
Level, degree of commitment | Advanced module, compulsory elective module |
Forms of teaching and learning, workload |
Lecture (3 SWS), recitation class (1 SWS), 180 hours (60 h attendance, 120 h private study) |
Credit points, formal requirements |
6 CP Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises. Examination type: Written or oral examination |
Language, Grading |
German,The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Business Informatics. |
Duration, frequency |
One semester, irregular |
Person in charge of the module's outline | N.N. |
Contents
According to the announcement, various topics will be dealt with from a practical and/or current perspective, in particular from the following areas
- Types of decision problems, decision support systems
- Data preparation
- Mathematical-statistical models and methods of Knowledge Discovery in Databases
- Models and Methods of Operations Research
- Models and Methods of Artificial Intelligence and Soft Computing
- Modelling and utilisation cycle
- Profit utilization
- Cognitive Theories
- Result presentation
- Technical perspective
Qualification Goals
Unchecked automatic translation:
The students shall
- Acquire basic knowledge and skills in model-based decision support, business intelligence & analytics,
- learn the theoretical basics of the respective area as well as selected applications,
- Practice working methods of business informatics,
- improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.
Prerequisites
None. The competences taught in the following modules are recommended: Object-oriented Programming, Algorithms and Data Structures.
Applicability
Module imported from B.Sc. Business Informatics.
It can be attended at FB12 in study program(s)
- B.Sc. Computer Science
- B.Sc. Business Informatics
- M.Sc. Business Informatics
When studying B.Sc. Computer Science, this module can be attended in the study area Compulsory Elective Modules in Computer Science.
Die Wahlmöglichkeit des Moduls ist dadurch beschränkt, dass es der Praktischen Computer Science zugeordnet ist.
Recommended Reading
- Depending on topic
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2019/20. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:
- Winter 2016/17 (no corresponding element)
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24
The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.
The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.