6 ECTS credits
172 h study time
Offer 1 with catalog number 4011473FNW for working students in the 1st semester at a (F) Master - specialised level.
In the course Scalable Data Management Systems, we study specialized systems and algorithms developed to support data-intensive applications at scale. The course takes a principled approach and covers aspects from parallel and distributed databases, MapReduce derivatives, and other relevant systems. Course topics include data partitioning, distributed query planning, and scalable transaction management.
The course material consists of slides and a number of scientific articles.
These will be made available on the learning platform.
By the end of the course, the student will be able to:
The final grade is composed based on the following categories:
Written Exam determines 60% of the final mark.
PRAC Teamwork determines 40% of the final mark.
Within the Written Exam category, the following assignments need to be completed:
Within the PRAC Teamwork category, the following assignments need to be completed:
The final grade is a weighted average. During the semester an assignment has to be done (counts for 40% of the final grade). During the exam period a written exam covering all the course topics will be conducted as well as a discussion of the assigned project (counts for 60% of the final grade). In order to pass the course, the final grade has to be at least 10/20. Furthermore, each individual grade (assignment or written exam) has to be at least 8/20, otherwise the lower of these two grades becomes the final grade.
In case of an overall failure, partial marks for the assignment, if the student obtains at least 10/20 for the assignment, are transferred to the second session. Partial marks for the written exam, if the student obtains at least 10/20 for the written exam, are transferred to the second session. Students may not relinquish partial marks.
In the second exam period, assignments that were not satisfactory can be reworked and defended again. The written exam can be redone if the student failed in first session. The final mark is calculated in the same way as in the first exam period.
This offer is part of the following study plans:
Master in Applied Sciences and Engineering: Applied Computer Science: Standaard traject
Master of Applied Sciences and Engineering: Computer Science: Artificial Intelligence
Master of Applied Sciences and Engineering: Computer Science: Multimedia
Master of Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering
Master of Applied Sciences and Engineering: Computer Science: Data Management and Analytics
Master of Applied Informatics: Profile profiel Big Data Technology
Master of Applied Informatics: Profile profiel Artificial Intelligence