Foundations and tools for processing semi-structured data

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.08618
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SP-2022

    Schedules and rooms

    Summary schedule Tuesday 09:15 - 12:00, Hebdomadaire
    Struct. of the schedule 3h par semaine durant 14 semaines
    Hours per week 3
    Contact's hours 42

    Teaching

    Responsibles
    Teachers
    Description

    The course is about the foundations and tools for dealing with tree shaped data, a prevalent data model used for representing semi-structured data over distributed information systems. It aims at presenting an approach for modelling, querying and processing either document-centric or data-centric information in a homogeneous way. The theoretical part introduces underlying concepts sustaining the approach. The practical part illustrates the application of concepts in a concrete context: the development of Web applications that make use of an XML native database (one category of the NoSQL databases) and associated standardized languages.

    Training objectives

    At the end of the course, the student will be able to:
    - Understand and explain the differences - strengths and weaknesses - of a tree structured model in comparison with other data models.
    - Understand the fundamental principles of a strongly typed language to manipulate tree structured data.
    - Understand the benefit to use standardized core languages for modeling, querying, re-purposing and processing tree structured data in comparison with other languages such as those proposed by JSON, as an example.
    - Identify situations where information management requirements can be more appropriately dealt with a tree structured data model approach.

    Comments

    MSc-CS BENEFRI - (Code Ue: 43110/ Track: T4) 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
    22.02.2022 09:15 - 12:00 Cours PER 21, Room B130
    01.03.2022 09:15 - 12:00 Cours PER 21, Room B130
    08.03.2022 09:15 - 12:00 Cours PER 21, Room B130
    15.03.2022 09:15 - 12:00 Cours PER 21, Room B130
    22.03.2022 09:15 - 12:00 Cours PER 21, Room B130
    29.03.2022 09:15 - 12:00 Cours PER 21, Room B130
    05.04.2022 09:15 - 12:00 Cours PER 21, Room B130
    12.04.2022 09:15 - 12:00 Cours PER 21, Room B130
    26.04.2022 09:15 - 12:00 Cours PER 21, Room B130
    03.05.2022 09:15 - 12:00 Cours PER 21, Room B130
    10.05.2022 09:15 - 12:00 Cours PER 21, Room B130
    17.05.2022 09:15 - 12:00 Cours PER 21, Room B130
    24.05.2022 09:15 - 12:00 Cours PER 21, Room B130
    31.05.2022 09:15 - 12:00 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 Informatik > Logic

    Ma - Business Informatics - 90 ECTS
    Version: 2020/SA-v01
    Classes - min. 45 ECTS > Module IT and IT Management > Logic

    Ma - Information Management - 90 ECTS
    Version: 2019/SA_V01
    Classes - min. 45 ECTS > Module IT and IT Management > Logic

    MiMa - Business Informatics - 30 ECTS
    Version: 2020/SA_V01
    Cours > Module Informatik > Logic