6 ECTS credits
150 u studietijd

Aanbieding 2 met studiegidsnummer 4023868FNW 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
De volgende vakken sluiten elkaar uit: 'Data en informatie management' en 'Data and Information Management'
Onderwijstaal
Engels
Faculteit
Faculteit Wetenschappen en Bio-ingenieurswetensch.
Verantwoordelijke vakgroep
Computerwetenschappen
Onderwijsteam
Bas Ketsman (titularis)
Onderdelen en contacturen
26 contacturen Hoorcollege
26 contacturen Werkcolleges, practica en oefeningen
Inhoud

In this course, we study principles of data and information systems. Topics include data models and query languages, properties of queries, algorithms and techniques for query processing, optimization, and data integration and interoperability.

Studiemateriaal
Digitaal cursusmateriaal (Vereist) : Relevant material (including the lecture slides), lecture slides, additional papers and book chapters, contact information, deadlines, exercises, exam details, Learning platform
Bijkomende info

The lectures are given in English. Relevant course material (slides) is available on the learning platform. For specific course topics, pointers to relevant additional resources (research papers, books and book chapters, website, specifications, online tutorials etc.) will be provided as well.

Leerresultaten

Algemene competenties

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

  • Explain and relate to each other different data models, query languages and their trade-offs.
  • Understand the fundamental principles underlying query languages and their different perspectives.
  • Understand the effect of properties of queries and query languages on their computational complexity.
  • Understand the relationship between techniques for query processing, reasoning and data integration.
  • Independently apply and implement any of the discussed algorithms and techniques for query optimization and processing.
  • Design and motivate data layouts, algorithms, query plans and optimization techniques for specific query workloads.
  • Analyze the trade-offs for algorithms and techniques in the context of specific query workloads.
  • Recognize variations and combinations of techniques and algorithms in the field of data and information management.
  • Evaluate the applicability of a given technique or algorithm in a specific data and information system context.
  • Report verbally and in writing about topics in the field of data and information systems and answer questions about them.
  • Independently continue the study of data and information management systems and techniques.

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 1 en aldus 60% van het totale eindcijfer.

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

  • Project met een wegingsfactor 1 en aldus 40% van het totale eindcijfer.

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 (counts for 60%) covering all the course topics will be conducted. In order to pass the course, the final grade has to be at least 10/20. Furthermore, each individual grade (assignment or exam) has to be at least 8/20, otherwise the lowest of these two grades becomes the final grade. In the second exam period, assignments that were not satisfactory can be reworked and defended again. Also the written exam can be redone. 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 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: Multimedia for Northwestern Polytechnical University (NPU) (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Data Management and Analytics (enkel aangeboden in het Engels)