Syllabus

Titel
4697 Data-Oriented Systems Analysis
LV-Leiter/innen
Univ.Prof. Dr. Axel Polleres
Kontakt
  • LV-Typ
    PI
  • Semesterstunden
    2
  • Unterrichtssprache
    Englisch
Anmeldung
02.02.2016 bis 06.05.2016
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Termine
Wochentag Datum Uhrzeit Raum
Montag 09.05.2016 13:00 - 15:30 D2.0.031 Workstation-Raum
Mittwoch 18.05.2016 13:00 - 15:30 D2.0.031 Workstation-Raum
Montag 23.05.2016 13:00 - 15:30 D2.0.031 Workstation-Raum
Mittwoch 25.05.2016 13:00 - 15:30 D2.0.031 Workstation-Raum
Montag 06.06.2016 13:00 - 15:30 D2.0.031 Workstation-Raum
Mittwoch 08.06.2016 13:00 - 15:30 D2.0.031 Workstation-Raum
Montag 13.06.2016 13:00 - 15:30 D2.0.031 Workstation-Raum
Mittwoch 15.06.2016 13:00 - 15:30 D2.0.031 Workstation-Raum
Montag 20.06.2016 13:00 - 15:30 D2.0.025 Workstation-Raum
Mittwoch 22.06.2016 13:00 - 15:30 D2.0.031 Workstation-Raum

Inhalte der LV

Relational database systems, modeling, integrating external Data sources using different data formats (including graph-data or semantic Web data)

Data Analytics with SQL sowie scripting languages, and statistics software, design of a simple database application.


Lernergebnisse (Learning Outcomes)

Understanding of concepts of data-oriented system analysis and modeling; the ability to practically solve tasks such as creating an application to dynamically integrate and extract data in a databases as well as performing simple visual and statistical analytics tasks

Lehr-/Lerndesign

Presentation of a final project as well as continuous assessment of small homework tasks and repititions of lesson content in front of your colleagues.

Leistung(en) für eine Beurteilung

committment in class 

homeworks submitted via learn@WU

presentation of final project (a small database application from a domain of your choice)

Assignments are grades from 0-10 (some assignments are grades 5 points max, some 10 points max), max of 65 points for assignments in total.

Classwork is graded from -10 to +10

The final project is graded 25 points max.

That gives a Max total of 100 points: Sehr Gut >90, gut > 80, Befriedigend >70, Genügend >60
Zuletzt bearbeitet: 08.07.2016


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