Stud.IP Uni Oldenburg
University of Oldenburg
10.12.2019 02:57:38
inf008 - Information Systems II (Complete module description)
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Module label Information Systems II
Module code inf008
Credit points 6.0 KP
Workload 180 h
Faculty/Institute Department of Computing Science
Used in course of study
  • Bachelor's Programme Business Informatics (Bachelor) >
  • Bachelor's Programme Computing Science (Bachelor) >
  • Bachelor's Programme Economics and Business Administration (Bachelor) >
  • Master's Programme Business Informatics (Master) >
Contact person
Module responsibility
Authorized examiners
Entry requirements
Skills to be acquired in this module
The Module “Information Systems II” enhances the knowledge and the concepts of “Information Systems I”.

Professional competence
The students:
  • Know further concepts, languages and architectures of databases
  • Analyse advanced information processing tasks
  • Analyse complex requirements of information systems appropriately
  • Realize information requirements and gather relevant information

Methodological competence
The students:
  • Propose concrete processing principles for special application classes
  • Reflect specific technologies' consequences and proceedings

Social competence
The students:

Self-competence
The students:
  • Reflect their problem-solving behaviour with regard to extended information processing concepts
Module contents
  • Implementation of databases (architecture, index structures, query processing and optimization)
  • Data integration and data analysis (data integration, data warehouses, data mining)
  • Information retrieval
  • Parallel databases
Reader's advisory
Suggested reading:
  • Härder, T.,Rahm, E.:Datenbanksysteme -Konzepte und Techniken der Implementierung, Morgan Kaufmann
  • Raghu Ramakrishnan, Johannes Gehrke: Database Management Systems, McGraw-Hill
  • U. Leser, F. Naumann. Informationsintegration: Architekturen und Methoden zur Integration verteilter und heterogener Datenquellen. dpunkt
  • Bauer/Günzel. Data-Warehouse-Systeme, dpunkt
  • Han/Kamber/Pei. Data Mining: Concepts and Techniques, Morgan Kaufmann
Links
Language of instruction German
Duration (semesters) 1 Semester
Module frequency jährlich
Module capacity unlimited
Modullevel AS (Akzentsetzung / Accentuation)
Modulart Wahlmodul / Opportunity
Lern-/Lehrform / Type of program V+Ü
Vorkenntnisse / Previous knowledge
Course type Comment SWS Frequency Workload attendance
Lecture 3.00 SuSe 42 h
Exercises 1.00 SuSe 14 h
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
At the end of the lecture period
written or oral Exam