Lectures and Seminars
The Chair of Management Information Systems, especially Data Analytics, offers lectures and seminars at Bachelor, Master and PhD level.
In the Bachelor's programme, basic competences in the field of data analytics (e.g. data warehousing, visualisation, machine learning) are taught in the courses "Foundations of Management Information Systems" and "Methods of Data Science". Building on this, students can deepen the knowledge acquired in these courses through project-based student research projects on the topics of "Predictive Analytics" and "Data Visualization".
In the Master's program, students learn in the lecture "Data Science for Business" how methods of statistical and machine learning can be used to solve business problems (e.g. churn prediction, fraud detection). In the seminars "Applied Machine Learning for Text Analysis" and "Deep Learning for Computer Vision" advanced methods for the automated analysis of textual and visual data are applied in a project-oriented way.
At the doctoral level, we offer the faculty-internal course "Machine Learning for Research" and within the framework of the VHB ProDok program the course "Data Science as a Research Method".
Courses
| Modulname | Typ | Semester | ECTS | Sprache |
|---|---|---|---|---|
| Methoden der Data Science | Vorlesung | WS | 5 | DEU |
| Grundlagen von Managementinformationssystemen | Vorlesung | SS | 5 | DEU |
| Data Visualization | Seminar | SS | 5 | DEU/ENG |
| Predictive Analytics | Studienarbeit | SS/WS | 5 | DEU/ENG |
| Modulname | Typ | Semester | ECTS | Sprache |
|---|---|---|---|---|
| Data Science for Business | Seminar | WS | 5 | ENG/DEU |
| Applied Machine Learning for Text Analysis | Seminar | WS | 10 | ENG/DEU |
| Deep Learning for Computer Vision | Seminar | SS | 10 | ENG/DEU |
| Modulname | Typ | Semester | ECTS | Sprache |
|---|---|---|---|---|
| Data Science as a Research Method | Seminar | WS | 6 | ENG |
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