Advanced Database Studies - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
|
module properties Advanced Database Studies
in degree program Master Research in Computer & Systems Engineering 2009
ATTENTION: not offered anymore |
|
|---|---|
| module number | 8190 |
| examination number | 2200294 |
| department | Department of Computer Science and Automation |
| ID of group | 2254 (Databases and Information Systems) |
| module leader | Prof. Dr. Kai-Uwe Sattler |
| term | winter and summer term |
| language | Englisch |
| credit points | 10 |
| on-campus program (h) | 67 |
| self-study (h) | 233 |
| obligation | elective module |
| exam | alternative examination performance |
| details of the certificate | keine |
| link to Moodle course | |
| teacher | |
| signup details for alternative examinations | |
| maximum number of participants | |
| previous knowledge and experience | VL Information Systems |
| learning outcome | Studierende, die diese Veranstaltung besucht haben, verstehen fortgeschrittene Aspekte von Datenbanksystemen wie die Verwaltung raumbezogener Daten, Web-scale Data Management sowie Data Warehousing und Data Mining. Sie können Techniken zur Modellierung aber auch zu Implementierung von Problemstellungen aus diesen Domänen erklären und bewerten. Die Studierenden sind in der Lage, Datenmanagementlösungen für konkrete Aufgaben aus diesen Bereichen anzuwenden und entwickeln. |
| content | Spatial Data Management: Spatial concepts and representation of spatial objects, Spatial access methods, Query processing; Web-Scale Data Management: Virtualization & Multi-Tenancy, Consistency models, QoS, data partitioning, replication, DHTs, MapReduce; Data Warehousing and Data Mining: Data warehouse architecture, multidimensional data modeling, Query processing in data warehouses: SQL & MDX; Data Mining |
| media of instruction and technical requirements for education and examination in case of online participation | Vorlesung mit Präsentation und Tafel, Handouts, Moodle |
| literature / references | Garcia-Molina, Ullman, Widom: Database Systems – The Complete Book, Pearson/Prentice Hall, 2009 Rigaux, Scholl, Voisard: Spatial Databases with Applications to GIS,Morgan Kaufman, 2002. Shekhar, Chawla: Spatial Databases – A Tour, Prentice Hall, 2003. Kumar, Steinbach, Tan: Introduction to Data Mining, Addison Wesley, 2005. Lehner, Sattler: Web-Scale Data Management for the Cloud, Springer, 2013. |
| evaluation of teaching | |