Emerging Technologies in Digitalisation

  • Teaching

    Details

    Faculty Faculty of Management, Economics and Social Sciences
    Domain Information Systems
    Code UE-EIG.00169
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SP-2021

    Schedules and rooms

    Summary schedule Wednesday 09:15 - 12:00, Hebdomadaire (Spring semester)
    Hours per week
    		3

    Teaching

    Responsibles
    • Fill Hans-Georg
    Teachers
    • Fill Hans-Georg
    Assistants
    • Härer Felix
    • Muff Fabian
    Description

    In this course we will investigate emgerging technologies in the area of digitalization of enterprises such as blockchains and smart contracts, augmented and virtual reality, data warehouses, machine learning platforms, semantic technologies and others. The concrete range of technologies will be announced at the beginning of the course. The goal is to conduct explorative research on the characteristics of these technologies and the resulting opportunities for business applications.

    For this purpose, small projects will be conducted in teams for analyzing particular usage scenarios for the technologies, designing according solutions using techniques of conceptual modeling and implementing them in the form of prototypes. Following lectures for introducing the foundations of the technologies, students will set up their own projects and regularly report upon the advancement in the projects in the form of common presentations. At the end, final presentations of the projects including working prototypes and the submission of a seminal report based on scientific standards are required. For the implementation of the prototypes it is necessary to dispose of programming knowledge, e.g. in Java, Node.js, or Python.

    Moodle Link
    Training objectives

    The goal of this course is to get a fundamental understanding of common technologies in the context of digitalization of enterprises and being able to create according software applications. Further, the writing of seminal papers is trained for preparing students to conduct their own research as e.g. required for master and doctoral theses.
    Softskills No
    Off field No
    BeNeFri Yes
    Mobility Yes
    UniPop No

    Documents

    Bibliography

    * Narayanan, Arvind, Clark, Jeremy (2017): Bitcoin's Academic
    Pedigree. ACMQueue, Volume 15, issue 4.
    https://queue.acm.org/detail.cfm?id=3136559

    * Antonopoulos, Andreas M., Wood, Gavin (2018): Mastering Ethereum.
    O’Reilly. https://github.com/ethereumbook/ethereumbook

    * Hyperledger Fabric (2020): Documentation.
    https://hyperledger-fabric.readthedocs.io/en/release-2.2/whatis.html

    * Three.js Documentation (2020): https://threejs.org/docs/

    * KNIME Analytics Documentation (2020): https://docs.knime.com/

    * RapidMiner Educational License Program (2020):
    https://rapidminer.com/educational-program/

    * R Platform Manuals (2020): https://cran.r-project.org/manuals.html

    * Protégé Documentation (2020):
    https://protegewiki.stanford.edu/wiki/Main_Page
  • Dates and rooms
    Date Hour Type of lesson Place
    24.02.2021 09:15 - 12:00 Cours PER 21, Room B207
    03.03.2021 09:15 - 12:00 Cours PER 21, Room B207
    10.03.2021 09:15 - 12:00 Cours PER 21, Room B207
    17.03.2021 09:15 - 12:00 Cours PER 21, Room B207
    24.03.2021 09:15 - 12:00 Cours PER 21, Room B207
    31.03.2021 09:15 - 12:00 Cours PER 21, Room B207
    14.04.2021 09:15 - 12:00 Cours PER 21, Room F207
    21.04.2021 09:15 - 12:00 Cours PER 21, Room B207
    28.04.2021 09:15 - 12:00 Cours PER 21, Room B207
    05.05.2021 09:15 - 12:00 Cours PER 21, Room B207
    12.05.2021 09:15 - 12:00 Cours PER 21, Room B207
    19.05.2021 09:15 - 12:00 Cours PER 21, Room B207
    26.05.2021 09:15 - 12:00 Cours PER 21, Room B207
    02.06.2021 09:15 - 12:00 Cours PER 21, Room B207
  • Assessments methods

    Evaluation continue - SP-2021, Session d'été 2021

    Assessments methods By rating

    Written exam

    Assessments methods By rating
    Descriptions of Exams

    Exam lenght: 90 minutes

    Only as a retake exam
  • 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)
    BeNeFri - Sciences économiques et sociales
    Version: 2018/SP_V01_SES_BeNeFri
    Course > Master course offering for BeNeFri Students
    Complementary learnings in SES or mobility students
    Version: ens_compl_ses
    Mster course offering for Mobility Students
    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)
    Doc - Business Informatics
    Version: 20210713
    Elective courses > Wahlkurse UNIFR
    Doc - Economics
    Version: 2002/SA_V01
    Cours a choix > Wahlkurse UNIFR
    Doc - Economie quantitative
    Version: 2002/SA_V01
    Cours a choix > Wahlkurse UNIFR
    Doc - Management
    Version: 2002/SA_V01
    Cours a choix > Wahlkurse UNIFR
    Doc - Management in Nonprofit-Organisation
    Version: 2002/SA_V01_60ECTS Théoriques
    Elective courses > Wahlkurse UNIFR
    Doc - Sciences sociales
    Version: 2002/SA_V01
    Cours a choix > Wahlkurse UNIFR
    Doc - Sciences économiques et sociales
    Version: 2002/SA_V01
    Cours a choix > Wahlkurse UNIFR
    Ma - Accounting and Finance - 120 ECTS
    Version: 2024/SP_V01_DD_Caen
    UniFr courses > Elective courses - Max 18 ECTS > SES Master level courses
    Ma - Accounting and Finance - 90 ECTS
    Version: 2021/SA_V01 Dès SA-2024
    Course - 72 ECTS > Minimum 0 / maximum 1 optional master course offered at the University of Fribourg, if 72 ECTS not yet reached in the above modules > SES Master level courses
    Ma - Business Communication : Business Informatics - 90 ECTS
    Version: 2020/SA_V02
    Courses - 60 ECTS > Option Group > Information Management > Cours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization
    Courses - 60 ECTS > Option Group > Information Management > Cours > Module Informatik > Security
    Ma - Business Informatics - 90 ECTS
    Version: 2020/SA-v01
    Classes - min. 45 ECTS > Module IT and IT Management > Security
    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 - Communication and Media Research - 90 ECTS
    Version: 2015/SA_V01
    Courses - 60 ECTS > Inter- and Transdisciplinary Perspectives > SES Master level courses
    Ma - Communication and Society - 90 ECTS
    Version: 2021/SA_V03
    Forschungsbereiche > Inter- & Transdisciplinary Perspectives
    Ma - Economics - 90 ECTS
    Version: 2021/SA_V04
    Le choix de l'option se fait par l'inscription au premier cours dans l'une des options possibles. > Public Economics and Policy > Elective courses in Public Economics and Policy > Elective courses of the SES Faculty - max. 15 ECTS > SES Master level courses
    Le choix de l'option se fait par l'inscription au premier cours dans l'une des options possibles. > Business Economics > Elective courses in Business Economics > Wahlkurse der SES-Fakultät - max. 15 ECTS > SES Master level courses
    Le choix de l'option se fait par l'inscription au premier cours dans l'une des options possibles. > Sustainable Development and Social Responsibility > Elective courses in Sustainable Development and Social Responsibility > Elective courses of the SES Faculty - max. 15 ECTS > SES Master level courses
    Le choix de l'option se fait par l'inscription au premier cours dans l'une des options possibles. > Quantitative Economics > Elective courses in Quantitative Economics > Courses from the SES faculty - max. 15 ECTS > SES Master level courses
    Course selection for the Master WITHOUT options > Elective courses > Elective courses of the SES Faculty - max. 15 ECTS > SES Master level courses
    Ma - European Business - 90 ECTS
    Version: 2017/SA_v01
    Courses - 63 ECTS > Additional courses: Any Master courses of the Faculty of Economics and Social Sciences, as well as maximum 9 ECTS from all Master programmes of the University. > SES Master level courses
    Ma - International and European Business - 90 ECTS
    Version: 2021/SA_v01 dès SA-2024
    Courses > Additional courses > SES Master level courses
    Ma - Management - 90 ECTS
    Version: 2021/SA_v03 dès SA-2024
    Courses: min. 72 ECTS > Elective courses > SES Master level courses
    Ma - Management - 90 ECTS [MA]
    Version: 2017/SA_v01
    Courses: min. 63 ECTS > Cours facultatifs : max. 18 ECTS > SES Master level courses
    Ma - Marketing - 90 ECTS
    Version: 2021/V03 dès SA-2024
    Courses - 72 ECTS > Elective Master courses from the whole university > SES Master level courses
    MiMa - Business Informatics - 30 ECTS
    Version: 2020/SA_V01
    Cours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization
    Cours > Module Informatik > Security
    MiMa - Data Analytics - 30 ECTS
    Version: 2020/SA-v01
    À choix 9 crédits ECTS > TMD: Technologies and Modelling for Digitalization