Courses
All Subjects
All information about the semester schedule can be found on the administration page.
| Module Number | 563030 |
|---|---|
| Type and SWS | Lecture: 2 SWS, Exercise: 2 SWS |
| Execution | Winter Semester |
| Contents | Basic knowledge of the computer science field of databases is taught. This includes (excerpt):
|
| Qualification Goals | After attending the lecture, the essential components of a database system are known. Students should be able to use the query language SQL to pose simple queries to a relational database and roughly assess the use of database systems in terms of a cost/benefit analysis. |
| Literature | Standard literature, e.g., Date, Schlageter, Stucky, etc. - additional literature will be mentioned in the lecture |
| Links |
| Module Number | 563010 |
|---|---|
| Type and SWS | Lecture: 2 SWS, Exercise: 2 SWS |
| Execution | Summer Semester |
| Contents | Topics include fundamentals of semantic and relational data modeling, working with SQL, the transaction concept, security aspects, business applications, basics of internet DB connection, and indexing. |
| Links |
| Module Number | 563050 |
|---|---|
| Type and SWS | Lecture: 2 SWS, Exercise: 2 SWS |
| Prerequisites | Basic knowledge of databases |
| Execution | Summer Semester |
| Contents | Basic techniques of internet programming for database access, database abstraction layers, semi-structured data, web services. |
| Qualification Goals | Students are able to access database records via various technologies from the internet. They know the theoretical backgrounds of selected types of technologies, choose them purposefully, and apply them to specific problems. Furthermore, they know various web services and use them. |
| Links |
| Module Number | 563080 |
|---|---|
| Type and SWS | Lecture: 2 SWS, Exercise: 2 SWS |
| Execution | Winter Semester |
| Contents | Topics include fundamentals of data warehousing, working with business intelligence tools, fundamental concepts of data visualization, and use of statistical databases. |
| Qualification Goals | Students are able to understand and apply data management techniques in real-world scenarios, and they know basic concepts of data analysis and visualization. |
| Links |
| Modulnumber | 500090 |
|---|---|
| Content | The research seminar offers students the opportunity to engage with current research topics in the field of data management, Open Data, Semantic Web, Graphs, RDF, FAIR, and the 5-Star Scheme, and to exchange ideas. |
| LVS | 2 LVS |
| Work/Duration: | 150 working hours for 5 credits (depending on the study regulations) and 15 pages for 5 credits (depending on the study regulations). |
| Degree programm / Study regulations: |
Master Informatik: 5 Credits - 10-18 Seiten - 45 Minuten mündliche Verteidigung - keine Anrechnung - 8 Wochen Master Angewandte Informatik: 5 Credits - 8-15 Seiten - 45 Minuten mündliche Verteidigung - keine Anrechnung - 8 Wochen Master Automotive Software Engineering: 5 Credits - 8-15 Seiten - 45 Minuten mündliche Verteidigung - keine Anrechnung - 8 Wochen Master Informatik für Geistes- und Sozialwissenschaften: 5 Credits - 8-15 Seiten - 45 Minuten mündliche Verteidigung - keine Anrechnung - 8 Wochen Master Neurorobotik: 5 Credits - 8-15 Seiten - 45 Minuten mündliche Verteidigung - keine Anrechnung - 8 Wochen Master Webengineering: 5 Credits - 8-15 Seiten - 45 Minuten mündliche Verteidigung - Anrechnung für "Seminar Web Engineering" - nicht das 2 Credit Modul! - 8 Wochen Bachelorstudiengänge: 5 Credits - 8-15 Seiten - 45 Minuten mündliche Verteidigung - keine Anrechnung - 6 Wochen |
| Einschreibung: |
At the beginning of each semester, an open registration list is available in OPAL, where the department allocates a fixed number of spots. Please check the registrations there or contact us here: dm@… |
| Modulnumber | 500170 |
|---|---|
| Content | The research internship is intended for students who wish to complete an internship at the Chair of Data Management as part of their specialization. Topics are assigned within the scope of the research activities conducted by the staff of the chair. |
| LVS | 2 LVS |
| Duration | 12 weeks for 5 credits (depending on the degree program) / 450 working hours (depending on the degree program) |
| Degree programs/ study regulations: |
Master Web Engineering: 5 Credits - 8-15 Seiten - 45 Minuten mündliche Verteidigung - Anrechnung für "Seminar Web Engineering" - 8 Wochen Master Automotive Software Engineering: 15 Credits - ca 20 Seiten - keine mündliche Verteidigung - keine Anrechnung - 20 Wochen Master Angewandte Informatik: 15 Credits - 5-15 Seiten - keine mündliche Verteidigung - keine Anrechnung - 12 Wochen Master Informatik: 10 Credits - 10-20 Seiten - keine mündliche Verteidigung - keine Anrechnung - 12 Wochen Master Informatik für Geistes- und Sozialwissenschaftler: 15 Credits - 10-15 Seiten - keine mündliche Verteidigung - keine Anrechnung - 12 Wochen Master Neurorobotik: 15 Credits - 10-15 Seiten - keine mündliche Verteidigung - keine Anrechnung - 12 Wochen |
| Entry: |
For the research seminar, an open registration list is available at the beginning of each semester in the OPAL, where the professorship allocates a fixed number of places. Please check the registrations there or contact us here: dm@… |
OPAL Links
| Advanced Management of Data | OPAL AMD |
|---|---|
| Datenbanken und Webtechnicken / Databases and Webtechniques | OPAL DBW |
| Datenbanken Grundlagen / Database Basics | OPAL DBG |
| Datenbanken in der Praxis / Practical Databases | OPAL DBP |
| Forschungsseminar / Research Seminar | Research Seminar |
| Forschungspraktikum / Research Internship | Research Internship |
History
For a listing of historical courses, please visit HISTORY.
Some of these courses are still offered, but by other chairs. Please check which chair is responsible for the course if you still need credits for it.
The course "Databases and Object Orientation" is NO LONGER offered.
Live Exercises/Help
Live SQL practice sessions:
Details about live support and practical exercises will be provided here.
- For Datenbanken Grundlagen and the airport scenario in the exercise see additional page here: Datenbanken Grundlagen AIRPORT
- For Advanced Management of Data and some help in the exercises see here: HILFEN
- Für Datenbanken und Webtechnicken TBD...
- Für Datenbanken in der Praxis TBD...
