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Advanced Topics in Databases

(in German: Advanced Topics in Databases )

Module-ID: FIN-INF-120277
Link: LSF
Responsibility: Gunter Saake
Lecturer: David Broneske
Classes:
  • Lecture Advanced Topics in Databases
  • Exercise Advanced Topics in Databases
 
Applicability in curriculum: - M.Sc. INF: Informatik
- M.Sc. INGINF: Informatik
- M.Sc. WIF: Informatik
- M.Sc. DKE: Data Processing for Data Science
- M.Sc. DE: Methoden der Informatik
- M.Sc. DE: Fachliche Spezialisierung
- M.Sc. VC: Computer Science

Abbreviation

ATDB

Credit Points

6

Semester

Summer

Term

ab 1.

Duration

1 Semester

Language

english

Level

Master

Intended learning outcomes:
The students ...

  • understand selected advanced topics in databases
  • know state-of-the-art solutions for current problems in database research
  • assess advanced solutions for current database systems
  • can apply advanced methods in database implementation techniques

Content:
Topics of the lecture will frequently change in accordance with current research directions in the database community and represent cutting-edge aspects. Current Topics:

  • Main-memory database algorithms and techniques
  • Heterogeneous processing in database systems
  • Advanced indexing ans storage techniques
  • Storage techniques for NoSQL database systems

Workload:
56h contact hours + 124h self-study

Pre-examination requirements: Type of examination: Teaching method / lecture hours per week (SWS):

  • Oral exam
  • Requirements for exam admission will be announced in the first lecture

  • 2 SWS Lecture
  • 2 SWS Exercise class
Prerequisites according to examination regulations: Recommended prerequisites:

none

  • Knowledge about database foundations and about principles of internal database operations
  • Basic programming skills
Media: Literature:


Comments:

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