Seminar data science

  • Enseignement

    Détails

    Faculté Faculté des sciences et de médecine
    Domaine Informatique
    Code UE-SIN.07818
    Langues Anglais
    Type d'enseignement Séminaire
    Cursus Master
    Semestre(s) SA-2022

    Horaires et salles

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

    Enseignement

    Responsables
    Enseignants
    Description

    The seminar on data science involves presentations that cover recent topics on data science. The area of this year’s seminar is time series operators. Modern SQL databases do not strictly support time series, but two features come close. First, SQL:2011 introduced extensions to support temporal data. Chief among the extensions is the concept of periods, which allows a time interval to be associated with every row of a table. Second, the older SQL:1999 introduced the notion of window functions. These allow data to be manipulated as if it was a sequence.

    In the scope of this seminar, we investigate papers that describe algorithms and operators to process time series data. The papers explore mechanisms that highlight the strengths and weaknesses of these operators when applied to time series.

    Objectifs de formation

    The goal for the students is to learn how to critically read and study research papers, how to describe a paper in a report, and how to present it in a seminar. Under supervision, students will select one paper to study, contrast and compare with related work. This seminar aims to help students to gather in-depth knowledge of an advanced topic and develop the skills required to describe a complex problem from the predictive analytics area in the form of both a presentation and a written report.

    Commentaire

    MSc-CS BENEFRI - (Code Ue: 63507 / Tracks: T6) . The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/.

    Course and exam registration on ACADEMIA (not myunifr.ch). Please follow the instructions on https://mcs.unibnf.ch/organization/

    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:
    Complément au doctorat [PRE-DOC]
    Version: 2020_1/v_01
    Complément au doctorat ( Faculté des sciences et de médecine) > UE de spécialisation en Informatique (niveau master)

    Enseignement complémentaire en sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > UE de spécialisation en Informatique (niveau master)

    Informatique [3e cycle]
    Version: 2015_1/V_01
    Formation continue > UE de spécialisation en Informatique (niveau master)

    Informatique [POST-DOC]
    Version: 2015_1/V_01
    Formation continue > UE de spécialisation en Informatique (niveau master)