Fuzzy systems engineering

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.07616
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SA-2020

    Schedules and rooms

    Summary schedule Friday 09:15 - 12:00, Hebdomadaire, PER 21, Room B130
    Struct. of the schedule 3h par semaine durant 14 semaines
    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/.

    Softskills
    No
    Off field
    No
    BeNeFri
    Yes
    Mobility
    Yes
    UniPop
    No
  • Dates and rooms
    Date Hour Type of lesson Place
    18.09.2020 09:15 - 12:00 Cours PER 21, Room B130
    25.09.2020 09:15 - 12:00 Cours PER 21, Room B130
    02.10.2020 09:15 - 12:00 Cours PER 21, Room B130
    09.10.2020 09:15 - 12:00 Cours PER 21, Room B130
    16.10.2020 09:15 - 12:00 Cours PER 21, Room B130
    23.10.2020 09:15 - 12:00 Cours PER 21, Room B130
    30.10.2020 09:15 - 12:00 Cours PER 21, Room B130
    06.11.2020 09:15 - 12:00 Cours PER 21, Room B130
    13.11.2020 09:15 - 12:00 Cours PER 21, Room B130
    20.11.2020 09:15 - 12:00 Cours PER 21, Room B130
    27.11.2020 09:15 - 12:00 Cours PER 21, Room B130
    04.12.2020 09:15 - 12:00 Cours PER 21, Room B130
    11.12.2020 09:15 - 12:00 Cours PER 21, Room B130
    18.12.2020 09:15 - 12:00 Cours PER 21, Room B130
  • Assessments methods

    Examen

    Assessments methods By rating
  • Assignment
    Valid for the following curricula:
    Branche secondaire Master: informatique de gestion 30 [MA]
    Version: 2020/SA_V01
    Cours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization

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

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

    Information Management 90 ECTS [MA] - SA/2019
    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

    Information Management 90 ECTS [MA] - SA/2020
    Version: 2020/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