Fuzzy sets and systems I

  • Enseignement

    Détails

    Faculté Faculté des sciences et de médecine
    Domaine Informatique
    Code UE-SIN.07618
    Langues Anglais
    Type d'enseignement Cours
    Cursus Master
    Semestre(s) SA-2022

    Horaires et salles

    Horaire résumé Vendredi 14:15 - 17:00, Hebdomadaire, PER 21, salle B130 (Semestre d'automne)
    Heures de contact 42

    Enseignement

    Responsables
    Enseignants
    Description

    The idea of this lecture series is to introduce students into the design and engineering of fuzzy sets and systems. It is thought of a self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and particular illustrative material. Throughout the lecture series, we thus emphasize on the direct applicability of the concepts being discussed, and historical and bibliographical aspects are included.

    To deal with human-center systems, Lotfi A. Zadeh introduced fuzzy sets and systems, from where a wealth of theoretical developments, conceptual pursuits, algorithmic environments, and other applications have emerged. As a departure from current views on the subject, the lecture series presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science and business. With this in mind, the series presents an up-to-date approach to fuzzy systems design and engineering. The result is a holistic view of fuzzy sets and systems as a fundamental component of computational intelligence and human-centric systems.

    Objectifs de formation

    On successful completion of this lecture series, the students will have…
    - …learned about key fuzzy systems design and engineering applied to business, government and society.
    - …become familiar with development methods within a small group to implement a fuzzy application.
    - …designed, engineered and presented a state-of-the-art fuzzy application.

    Commentaire

    MSc-CS BENEFRI - (Code Ue: 53105/ Track: T5) 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
  • Dates et salles
    Date Heure Type d'enseignement Lieu
    23.09.2022 14:15 - 17:00 Cours PER 21, salle B130
    30.09.2022 14:15 - 17:00 Cours PER 21, salle B130
    07.10.2022 14:15 - 17:00 Cours PER 21, salle B130
    14.10.2022 14:15 - 17:00 Cours PER 21, salle B130
    21.10.2022 14:15 - 17:00 Cours PER 21, salle B130
    28.10.2022 14:15 - 17:00 Cours PER 21, salle B130
    04.11.2022 14:15 - 17:00 Cours PER 21, salle B130
    11.11.2022 14:15 - 17:00 Cours PER 21, salle B130
    18.11.2022 14:15 - 17:00 Cours PER 21, salle B130
    25.11.2022 14:15 - 17:00 Cours PER 21, salle B130
    02.12.2022 14:15 - 17:00 Cours PER 21, salle B130
    09.12.2022 14:15 - 17:00 Cours PER 21, salle B130
    16.12.2022 14:15 - 17:00 Cours PER 21, salle B130
    23.12.2022 14:15 - 17:00 Cours PER 21, salle B130
  • Modalités d'évaluation

    Examen

    Mode d'évaluation Par note
  • Affiliation
    Valable pour les plans d'études suivants:
    BcMa - Data Analytics - 30 ECTS
    Version: 2020/SA-v01
    À choix 9 crédits ECTS > TMD: Technologies and Modelling for Digitalization

    BcMa - Informatique de gestion - 30 ECTS
    Version: 2020/SA_V01
    Cours > Modules informatique de gestion > TMD: Technologies and Modelling for Digitalization

    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)

    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)

    Ma - Business Communication : Informatique de gestion - 90 ECTS
    Version: 2020/SA_V02
    Cours - 60 ECTS > Groupe d'option > Informatique de gestion > Cours > Modules informatique de gestion > TMD: Technologies and Modelling for Digitalization

    Ma - Informatique de gestion - 90 ECTS
    Version: 2020/SA-v01
    Cours - min. 45 ECTS > Modules informatique/informatique de gestion > TMD: Technologies and Modelling for Digitalization
    Cours - min. 45 ECTS > Modules informatique de gestion - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization

    Ma - Informatique de gestion - 90 ECTS
    Version: 2019/SA_V01
    Cours - min. 45 ECTS > Modules informatique de gestion - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization
    Cours - min. 45 ECTS > Modules informatique/informatique de gestion > TMD: Technologies and Modelling for Digitalization