Universität Wien

040310 KU Modelling and Handling of Large Databases (MA) (2025S)

6.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle
Tu 29.04. 09:45-11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 04.03. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 05.03. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 11.03. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 18.03. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 19.03. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 25.03. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 26.03. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 01.04. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 02.04. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 08.04. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 09.04. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 30.04. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 06.05. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 07.05. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 13.05. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 14.05. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 20.05. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 21.05. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 27.05. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 28.05. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 03.06. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 04.06. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 10.06. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 11.06. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 17.06. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 18.06. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 24.06. 09:45 - 11:15 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 25.06. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

The course introduces central methods to understand the modeling and daily usage (CRUD operations) of databases and the characteristics of computer-based information systems. This knowledge will be applied to aggregate information and to facilitate and accelerate decision-making processes. Particular attention will be paid to conceptual and logical database design, data analysis using SQL, algorithms for selecting materialized views, database systems technology, and tools for managing a large amount of data. The student will acquire knowledge of the fundamental concepts to design and use database models. Beyond the relational part, we will have a look at NoSQL databases, such as Graphdatabases, Textdatabases, and Document-oriented databases.

This course consists of lectures, homework, and exams.

Generic goals:
- Improvement of programming skills
- Understanding of interplay in Business Administration and databases.

Students of the Master Business Analytics program who have not yet passed the exam "Introduction to Programming with Python" can be admitted to the course on a daily basis after successfully passing the exam. Please contact the course management for this purpose.

Assessment and permitted materials

Midterm test (35%)
Final test (35%)
Homework/Exercises(30% )

Minimum requirements and assessment criteria

In total, 100 points can be achieved. Grades are assigned as follows:
1 (very good) • 100-87 %
2 (good) • 86-75 %
3 (satisfactory) • 74-63 %
4 (sufficient) • 62-50 %
5 (not enough) • 49-0 %

Examination topics

Slides and topics covered in the lectures.

Reading list

- Ramakrishnan and Gehrke. Database Management Systems. 3rd Edition
- Garcia-Molina, Ullmann. Database Systems 2nd Edition. Prentice Hall
- Paulraj Ponniah, Data Warehousing Fundamentals for IT Professionals, Second Edition, Wiley
- Wil van der Aalst, Process Mining - Data Science in Action, Second Edition, Springer

Association in the course directory

Last modified: Mo 17.02.2025 21:25