Seminar building data visualization II

  • Enseignement

    Détails

    Faculté Faculté des sciences et de médecine
    Domaine Informatique
    Code UE-SIN.08812
    Langues Anglais
    Type d'enseignement Séminaire
    Cursus Master
    Semestre(s) SP-2020

    Horaires et salles

    Struct. des horaires 2h par semaine durant 14 semaines
    Heures de contact 28

    Enseignement

    Responsables
    Enseignants
    Description

    Data visualization, also known as information visualisation, is a field concerned with the visual representation of data and interaction with it in order to amplify cognition. This seminar will explore some recent trends and selected chapters in this research domain, e.g. combination of data mining techniques with parallel coordinates visualisation, the evaluation of graph & network visualisation, the representation of uncertainty in visualisation, etc.

    Please note that the exact topic of the seminar changes each year, yet stays in the broad context of data visualization.

    The goal of this seminar is to review selected chapters in the domain of Data Visualization. Another objective of this seminar is to develop skills in reading, writing and reviewing academic papers. In this context, students will be asked to write and present a state of the art of a sub-domain of the Data Visualization research field. Sub topics such as the combination of data mining techniques with parallel coordinates visualisation, the evaluation of graph & network visualisation, the representation of uncertainty in visualisation etc. will be addressed in this context.

    Each student will be assigned a theme within the domain, select state-of-the-art references relevant to the chosen thematic, synthesize these references and present them. There must be an oral presentation done during one of the final seminar sessions, plus in a written report of 4 pages, authored in LaTeX following ACM Strict format.

    Objectifs de formation

    At the end of the seminar, students will know how to do a bibliographic research, how to judge the quality of a scientific paper, and how to write a scientific article. Further, they will know what is Data Visualization and the current techniques and trends, and will deepen their knowledge on a particular subtopic.

    Commentaire

    MSc-CS BENEFRI - (Code Ue: 33813 / Track: T3, Code Ue:63813 / Track: T6) The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/.

    Softskills
    Non
    Hors domaine
    Non
    BeNeFri
    Oui
    Mobilité
    Oui
    UniPop
    Non
  • Modalités d'évaluation

    Evaluation continue

    Mode d'évaluation Par note
  • Affiliation
    Valable pour les plans d'études suivants:
    Enseignement complémentaire en sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > UE de spécialisation en Informatique (niveau master)

    MSc en informatique (BeNeFri)
    Version: 2010_2/V_02
    MSc en informatique (BeNeFri), cours, séminaires et travail de Master > UE de spécialisation en Informatique (niveau master)
    MSc en informatique (BeNeFri), cours, séminaires et travail de Master > T3: Advanced Information Processing