Syllabus

Title
2223 Datenbanksysteme
Instructors
Dr. Amr Azzam, M.Sc.
Contact details
amr.azzam@wu.ac.at
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/02/19 to 10/03/19
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Database Systems
Dates
Day Date Time Room
Tuesday 10/15/19 08:45 AM - 12:00 PM D2.-1.019 Workstation-Raum
Tuesday 10/22/19 08:45 AM - 12:00 PM D2.-1.019 Workstation-Raum
Tuesday 10/29/19 08:45 AM - 12:00 PM D2.-1.019 Workstation-Raum
Tuesday 11/05/19 08:45 AM - 12:00 PM D2.-1.019 Workstation-Raum
Tuesday 11/12/19 08:45 AM - 12:00 PM D2.-1.019 Workstation-Raum
Tuesday 11/19/19 08:45 AM - 12:00 PM D2.-1.019 Workstation-Raum
Friday 12/06/19 09:00 AM - 01:00 PM D2.-1.019 Workstation-Raum
Tuesday 12/17/19 08:45 AM - 12:00 PM D2.-1.019 Workstation-Raum

On this page:

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Contents
  • Theoretical and Practical Aspects of DBMS.
  • Relational Model (basis, relational algebra, data description and data manipulation)
  • Relational Theory (Semantic constraints, functional dependencies, normal forms)
  • Transactions (ACID principle, correctness, parallel processing)
  • Optimization (Indexes, Query Plan)
  • Structured Query Language SQL
  • NoSQL databases (Key-Value stores, document DBs, GraphDBs, Semantic Web triple stores)
  • In-Memory DBs 
  • Big Data, Google BigTable, etc.

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Learning outcomes
  • Understanding of DBMS and ability to apply DBMS in practice
  • Understanding of the relational model and the basic concepts of the relational theory
  • Understanding of the basic concepts of transactions and optimizations
  • Ability to formulate SQL statements to solve practical problems
  • Integration of DB and websites (PHP)
  • Basic ideas of non-relational DBs, including graph databases and NoSQL stores
  • Current scalability issues (Big Data)
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Attendance requirements

at least 80% attendance

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Teaching/learning method(s)
  • Lessons and computer exercises with DBMS on Linux servers
  • Active participation in solving tasks using DBMS
  • Repetitions of lesson content in front of your colleagues
  • Peer Review (review each others’ work)
  • Presentation of a final project
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Assessment

40% - Homeworks submitted via learn@WU
20% - Test
25% - Presentation of final project (a small database application)
15% - Commitment in class

Grading scale:

Excellent (1): 90% - 100.0%
Good (2): 80% - <90%
Satisfactory (3): 70% - <80%
Sufficient (4): 60.0% - <70%
Fail (5): <60.0%

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Prerequisites for participation and waiting lists

Nach Ende der Anmeldefrist werden verfügbare LV-Plätze den Studierenden der Warteliste, die noch keine gültige Anmeldung zum Planpunkt haben, gereiht nach Studienfortschritt zugeteilt, nicht nach Wartelistenplatz.

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Availability of lecturer(s)

amr.azzam@wu.ac.at

Tutor: mario.wied@wu.ac.at

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Additional information on MyLEARN.

 

Last edited: 2019-12-04



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