6 ECTS credits
172 u studietijd

Aanbieding 1 met studiegidsnummer 4011473FNW voor werkstudenten in het 1e semester met een gespecialiseerd master niveau.

Semester
1e semester
Inschrijving onder examencontract
Niet mogelijk
Beoordelingsvoet
Beoordeling (0 tot 20)
2e zittijd mogelijk
Ja
Inschrijvingsvereisten
Dit opleidingsonderdeel is enkel toegankelijk voor werkstudenten.
Onderwijstaal
Engels
Faculteit
Faculteit Wetenschappen en Bio-ingenieurswetensch.
Verantwoordelijke vakgroep
Computerwetenschappen
Onderwijsteam
Bas Ketsman (titularis)
Onderdelen en contacturen
26 contacturen Hoorcollege
26 contacturen Werkvormen en Praktische Oef.
120 contacturen Zelfwerk en -studie
Inhoud

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.

Studiemateriaal
Digitaal cursusmateriaal (Vereist) : Relevant materiaal (cursus slides), cursus slides, contactinformatie, deadlines, opdrachten, details omtrent het examen enz., Learning platform
Bijkomende info

The course material consists of slides and a number of scientific articles.
These will be made available on the learning platform.

Leerresultaten

General competencies

By the end of the course, the student will be able to:

  • Explain and relate to each other the main principles, techniques and trade-offs underlying scalable data management systems.
  • Name current state-of-the-art systems as well as approaches in academia and be able to place them within the domain of scalable data management systems.
  • Analyse the trade-offs of different approaches to data management in terms of efficiency, scalability, latency, …
  • Choose and motivate the most appropriate existing system architecture and technology for a certain task.
  • Link system architectures to appropriate formal frameworks and cost models
  • Design and motivate data layouts and query plans suitable for a system architecture, the needs of an application, and specific workloads.
  • Understand and critically analyse research papers within the field and answer questions about the contents of those papers.
  • Independently continue the study of systems, techniques, and new progress in the field of scalable data management systems.

Beoordelingsinformatie

De beoordeling bestaat uit volgende opdrachtcategorieën:
Examen Schriftelijk bepaalt 60% van het eindcijfer

WPO Groepswerk bepaalt 40% van het eindcijfer

Binnen de categorie Examen Schriftelijk dient men volgende opdrachten af te werken:

  • Written exam met een wegingsfactor 100 en aldus 60% van het totale eindcijfer.

    Toelichting: During the exam period a written exam covering all the course topics will be conducted.

Binnen de categorie WPO Groepswerk dient men volgende opdrachten af te werken:

  • Project met een wegingsfactor 100 en aldus 40% van het totale eindcijfer.

    Toelichting: During the semester students have to work on a project in groups.

Aanvullende info mbt evaluatie

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.

Toegestane onvoldoende
Kijk in het aanvullend OER van je faculteit na of een toegestane onvoldoende mogelijk is voor dit opleidingsonderdeel.

Academische context

Deze aanbieding maakt deel uit van de volgende studieplannen:
Master of Applied Sciences and Engineering: Applied Computer Science: Standaard traject (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Artificial Intelligence (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Multimedia (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Data Management and Analytics (enkel aangeboden in het Engels)
Master of Applied Informatics: Profiel profiel Big Data Technology (enkel aangeboden in het Engels)
Master of Applied Informatics: Profiel profiel Artificial Intelligence (enkel aangeboden in het Engels)