6 ECTS credits
176 u studietijd

Aanbieding 1 met studiegidsnummer 4023256FNR voor alle studenten in het 2e semester met een gespecialiseerd master niveau.

Semester
2e semester
Inschrijving onder examencontract
Niet mogelijk
Beoordelingsvoet
Beoordeling (0 tot 20)
2e zittijd mogelijk
Neen
Inschrijvingsvereisten
Studenten die dit opleidingsonderdeel opnemen, moeten ingeschreven of geslaagd zijn voor Scalable Analytics en Information Visualisation.
Onderwijstaal
Engels
Faculteit
Faculteit Wetenschappen en Bio-ingenieurswetensch.
Verantwoordelijke vakgroep
Computerwetenschappen
Onderwijsteam
Bas Ketsman
Beat Signer (titularis)
Onderdelen en contacturen
12 contacturen Hoorcollege
24 contacturen Werkcolleges, practica en oefeningen
156 contacturen Zelfstudie en externe werkvormen
Inhoud

In this seminar the students get insights about recent developments in the field of Big Data systems. They will deepen their knowledge about specific research topics in this domain. This course is based on interactive sessions where students have discussions with the professors. As a base line, students study scientific papers which need to be read before each session in order to facilitate a discussion. A list of themes with associated research papers is put forward each year and, for instance the following topics might be covered:

  • Scalable data management systems
  • Distributed query processing
  • Coordination-free querying
  • Big data analytics
  • Scalable architectures
  • Graph processing
  • Privacy preservation on big data
  • Human-in-the-loop data processing
  • Human-data interaction
  • Data physicalisation
  • Personal information management
  • Information visualisation
  • Advanced data processing UIs
     

Each student is assigned one theme based on their interest. The student must critically  review the assigned research papers, identify the main contributions and synthesise the theme for peers in a presentation. All students contribute to the discussion.

Next to that, each student must write a review of an assigned research paper in a provided review format that is similar to review formats used at main research conferences in the associated domains. 

The study material is composed based on the selected subjects. Due to the interactive nature of the course, the student is obliged to be present during the contact hours. Therefore the course cannot be taken with an exam contract and it is not possible to take an exam in second session.

Studiemateriaal
Digitaal cursusmateriaal (Vereist) : Additional information (such as schedules, teaching assistants, contact information, deadlines, assignments etc.) might be found on the learning platform., Learning platform
Bijkomende info

The lectures are given in English.

Attending the lectures is mandatory. The assigned research papers will be provided to the students. Additional information in the form of related work and cited papers will have to be collected by the students.

Additional information (such as schedules, teaching assistants, contact information, deadlines, assignments etc.) might be found on the learning platform.

Leerresultaten

General competencies

Knowledge and Insight:
In this seminar the student gets insights about recent developments in the field of Big Data systems. They will deepen their knowledge about specific topics in Big Data systems and are required to communicate the outcome to other course participants. The student should be able to critically review the assigned research papers, identify the main contributions and communicate the content in the form of a presentation as well as in a written report.

Application of Knowledge and Insight:
Since this course is given in a seminar form that is mainly based on the study of research papers, the students will not apply the acquired scientific knowledge in an exercise or project-specific form. However, they apply new insights about the independent investigation of a research topic as well as different forms of presentation as part of their assignment.

Judgement Shaping:
The student is required to identify the contributions as well as strengths and weaknesses of a given research paper. They should further get an insight of how evaluate and position a research paper in the context of related work.

Communication:
As part of the seminar the student is required to clearly communicate about the assigned research topic. The attendee shows that they can reflect on a given research topic and discuss it with colleagues by asking and answering scientific questions.

Learning Skills:
After having attended this course, the student has the necessary knowledge to independently investigate a given research topic based on specific research papers and other resources.

The course contributes to the following learning outcomes of the Master's programme: 

  • The Master has in-depth and active knowledge of the academic literature of advanced concepts from the chosen specialisation. 
  • The Master can report and communicate scientifically in English, orally and in writing, to an audience of peers. 
  • The Master has a research attitude, can process scientific and technical information independently, and can acquire lacking knowledge quickly. 
  • The Master behaves responsible, can cope with work-related pressure, is disciplined and precise in executing assignments and all of this both in independent work and in a teamwork. 

Beoordelingsinformatie

De beoordeling bestaat uit volgende opdrachtcategorieën:
HOC Presentatie bepaalt 70% van het eindcijfer

WPO Paper bepaalt 30% van het eindcijfer

Binnen de categorie HOC Presentatie dient men volgende opdrachten af te werken:

  • Presentation of a topic/paper met een wegingsfactor 100 en aldus 70% van het totale eindcijfer.

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

  • Report and reviews met een wegingsfactor 100 en aldus 30% van het totale eindcijfer.

Aanvullende info mbt evaluatie

The final grade is going to be based on the student's presentation (counts for 70% of the final grade) as well as on the written report and the review of a number of additional papers (counts for 30% of the final grade). Note that the attendance of the lectures/presentations is mandatory and an unjustified absence (i.e without medical or other certificate) from more than two lectures in total will result in the grade 'absent' for the seminar.

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 de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Artificiële Intelligentie
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Multimedia
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Software Languages and Software Engineering
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Data Management en Analytics
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)