040310 KU Modelling and Handling of Large Databases (MA) (2023S)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 13.02.2023 09:00 to We 22.02.2023 12:00
- Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
- Deregistration possible until Fr 17.03.2023 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
01.03.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
07.03.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
08.03.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
14.03.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
15.03.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
21.03.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
22.03.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
28.03.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
29.03.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
18.04.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
19.04.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
25.04.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
26.04.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
02.05.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
03.05.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
09.05.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
10.05.
11:30 - 13:00
Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Seminarraum 8, Kolingasse 14-16, OG01
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
16.05.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
17.05.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
23.05.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
24.05.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Wednesday
31.05.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
06.06.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
07.06.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
13.06.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
14.06.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
20.06.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
21.06.
11:30 - 13:00
Seminarraum 8, Kolingasse 14-16, OG01
Tuesday
27.06.
09:45 - 11:15
Seminarraum 18 Kolingasse 14-16, OG02
Wednesday
28.06.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Seminarraum 8, Kolingasse 14-16, OG01
Seminarraum 8, Kolingasse 14-16, OG01
Information
Aims, contents and method of the course
Assessment and permitted materials
Midterm test (30%)
Final test (30%)
Homework/Exercises/Project work (40% )
Final test (30%)
Homework/Exercises/Project work (40% )
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 %
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
- 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 05.06.2023 13:47
- Improvement of programming skills
- Understanding of interplay in Business Administration and databases.