Fuzzy sets and systems I

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.07618
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SA-2022

    Schedules and rooms

    Summary schedule Friday 14:15 - 17:00, Hebdomadaire, PER 21, Room B130 (Autumn semester)
    Contact's hours 42

    Teaching

    Responsibles
    Teachers
    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.

    Training objectives

    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.

    Comments

    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
    No
    Off field
    No
    BeNeFri
    Yes
    Mobility
    Yes
    UniPop
    No
  • Dates and rooms
    Date Hour Type of lesson Place
    23.09.2022 14:15 - 17:00 Cours PER 21, Room B130
    30.09.2022 14:15 - 17:00 Cours PER 21, Room B130
    07.10.2022 14:15 - 17:00 Cours PER 21, Room B130
    14.10.2022 14:15 - 17:00 Cours PER 21, Room B130
    21.10.2022 14:15 - 17:00 Cours PER 21, Room B130
    28.10.2022 14:15 - 17:00 Cours PER 21, Room B130
    04.11.2022 14:15 - 17:00 Cours PER 21, Room B130
    11.11.2022 14:15 - 17:00 Cours PER 21, Room B130
    18.11.2022 14:15 - 17:00 Cours PER 21, Room B130
    25.11.2022 14:15 - 17:00 Cours PER 21, Room B130
    02.12.2022 14:15 - 17:00 Cours PER 21, Room B130
    09.12.2022 14:15 - 17:00 Cours PER 21, Room B130
    16.12.2022 14:15 - 17:00 Cours PER 21, Room B130
    23.12.2022 14:15 - 17:00 Cours PER 21, Room B130
  • Assessments methods

    Examen

    Assessments methods By rating
  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Computer Science (Master level)

    Additional programme requirements for PhD studies [PRE-DOC]
    Version: 2020_1/v_01
    Additional programme requirements for PhD studies (Faculty of Science and Medicine) > Specialized courses in Computer Science (Master level)

    Computer Science [3e cycle]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Computer Science (Master level)

    Computer Science [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Computer Science (Master level)

    Ma - Business Communication : Business Informatics - 90 ECTS
    Version: 2020/SA_V01
    Courses - 60 ECTS > Option Group > Information Management > Cours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization

    Ma - Business Informatics - 90 ECTS
    Version: 2020/SA-v01
    Classes - min. 45 ECTS > Module IT and IT Management > TMD: Technologies and Modelling for Digitalization
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization

    Ma - Information Management - 90 ECTS
    Version: 2019/SA_V01
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization
    Classes - min. 45 ECTS > Module IT and IT Management > TMD: Technologies and Modelling for Digitalization

    MiMa - Business Informatics - 30 ECTS
    Version: 2020/SA_V01
    Cours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization

    MiMa - Data Analytics - 30 ECTS
    Version: 2020/SA-v01
    À choix 9 crédits ECTS > TMD: Technologies and Modelling for Digitalization