Emerging Technologies in Digitalisation
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Enseignement
Détails
Faculté Faculté des sciences économiques et sociales et du management Domaine Informatique de gestion Code UE-EIG.00169 Langues Anglais Type d'enseignement Cours
Cursus Master Semestre(s) SP-2022 Horaires et salles
Horaire résumé Mercredi 08:15 - 10:00, Hebdomadaire
Mercredi 10:15 - 11:00, Hebdomadaire
Heures par semaine 3 Enseignement
Responsables Enseignants Assistants 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.
Objectifs de formation 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 Non Hors domaine Non BeNeFri Oui Mobilité Oui UniPop Non Documents
Bibliographie * 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 et salles
Date Heure Type d'enseignement Lieu 23.02.2022 08:15 - 10:00 Cours PER 21, salle F207 23.02.2022 10:15 - 11:00 Exercice PER 21, salle F207 02.03.2022 08:15 - 10:00 Cours PER 21, salle F207 02.03.2022 10:15 - 11:00 Exercice PER 21, salle F207 09.03.2022 08:15 - 10:00 Cours PER 21, salle F207 09.03.2022 10:15 - 11:00 Exercice PER 21, salle F207 16.03.2022 08:15 - 10:00 Cours PER 21, salle F207 16.03.2022 10:15 - 11:00 Exercice PER 21, salle F207 23.03.2022 08:15 - 10:00 Cours PER 21, salle F207 23.03.2022 10:15 - 11:00 Exercice PER 21, salle F207 30.03.2022 08:15 - 10:00 Cours PER 21, salle F207 30.03.2022 10:15 - 11:00 Exercice PER 21, salle F207 06.04.2022 08:15 - 10:00 Cours PER 21, salle F207 06.04.2022 10:15 - 11:00 Exercice PER 21, salle F207 13.04.2022 08:15 - 10:00 Cours PER 21, salle F207 13.04.2022 10:15 - 11:00 Exercice PER 21, salle F207 27.04.2022 08:15 - 10:00 Cours PER 21, salle F207 27.04.2022 10:15 - 11:00 Exercice PER 21, salle F207 04.05.2022 08:15 - 10:00 Cours PER 21, salle F207 04.05.2022 10:15 - 11:00 Exercice PER 21, salle F207 11.05.2022 08:15 - 10:00 Cours PER 21, salle F207 11.05.2022 10:15 - 11:00 Exercice PER 21, salle F207 18.05.2022 08:15 - 10:00 Cours PER 21, salle F207 18.05.2022 10:15 - 11:00 Exercice PER 21, salle F207 25.05.2022 08:15 - 10:00 Cours PER 21, salle F207 25.05.2022 10:15 - 11:00 Exercice PER 21, salle F207 01.06.2022 08:15 - 10:00 Cours PER 21, salle F207 01.06.2022 10:15 - 11:00 Exercice PER 21, salle F207 -
Modalités d'évaluation
Examen écrit - SP-2022, Session de rattrapage 2022
Date 31.08.2022 08:30 - 10:00 Mode d'évaluation Par note Description Exam lenght: 90 minutes
Only as a retake exam
Evaluation continue - SP-2022, Session d'été 2022
Mode d'évaluation Par note Description Course with continuous evaluation: after the registration period, you can no longer cancel your registration (see session calendar on the Faculty's website).
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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 DigitalizationCours > Modules informatique > Advanced Software Engineering
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 SES
Version: ens_compl_ses
803 - Offre de cours MA pour étudiants en mobilité
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)
Ma - Business Communication : Informatique de gestion - 90 ECTS
Version: 2020/SA_V01
Cours - 60 ECTS > Groupe d'option > Informatique de gestion > Cours > Modules informatique > Advanced Software EngineeringCours - 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: 2019/SA_V01
Cours - min. 45 ECTS > Modules informatique/informatique de gestion > TMD: Technologies and Modelling for DigitalizationCours - min. 45 ECTS > Modules informatique/informatique de gestion > Advanced Software EngineeringCours - min. 45 ECTS > Modules informatique de gestion - min. 22 ECTS > 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 > Advanced Software EngineeringCours - min. 45 ECTS > Modules informatique/informatique de gestion > TMD: Technologies and Modelling for DigitalizationCours - min. 45 ECTS > Modules informatique de gestion - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization