Code
MGSF MIS 4808
Level
M1
Field
Systèmes d’information
Language
Français/French
ECTS Credits
3
Class hours
21
Total student load
60
Program Manager(s)
Department
- Technologies, Information et Management
Educational team
Introduction to the module
Data is at the heart of the company's operational processes and is an important source of value:
• It can be external data about users, competitors etc., but also internal data about the entire value chain.
• Knowing how to handle this data intelligently allows the company to improve its agility and to strengthen its competitive position.
• Developing this intelligence is all the more critical with the advent of digital technologies that allow both the acquisition of massive data and its analysis and interpretation to derive value from it.
Learning goals/Programme objectives
- LG1 Being able to extend digital intelligence through its different dimensions
- LG2 Having the ability to manage uncertainty and complexity with accuracy and rigor
- LG3 Having the foundations of responsible and sustainable management
- LG4 Having access to different cross disciplinary management approaches and tools
Learning objectives/Intended learning outcomes
- 1.2 - Develop digital creativity for the individual and the organizational
- 1.3 - Develop competitiveness in business, and digital sovereignty
- 2.1 - Identify and analyze in depth problems, causes and impacts
- 2.2 - Explore solutions, decisions, and their relative and absolute impacts
- 2.3 - Identify optimal solution(s) and priorities toward implementation
- 2.4 - Implement a plan, prepare for changes, and measure the success of actions with regard to strategy and stakeholder
- 3.1 - Understand and employ basic concepts, knowledge and theories related to the discipline
- 3.2 - Apply discipline knowledge appropriately and effectively
- 3.4 - Select and employ judiciously appropriate techniques and tools within the discipline
- 4.3 - Apply cross-disciplinary management approaches and tools effectively and judiciously
Rubrics
A travers ce cours, l'étudiant aura la capacité de:
● Conseiller les entreprises sur l’impact des Données pour transformer le Business
● Désigner les acteurs clés, les enjeux, les risques, les actions d’accompagnement dans un projet de transformation digitale d’une organisation.
Content : structure and schedule
16 étapes de 3h, réalisées via le SPOC
2 étapes de 3h réalisées en présentiel
Les modules du SPOC abordent les sujets suivants :
1. Place de la donnée dans la Transformation digitale
2. Concepts clés liés à la donnée
3. Data gouvernance and management
4. Data modeling
5. Master data management
6. Data quality management
7. Business Intelligence/Datawarehousing
8. Data exploitation (Datamining, data visualization, IA, Big Data)
9. Data compliance (Ethics, security, privacy …)
Des séances de coaching seront effectuées pour vérifier l’état d’avancement du SPOC et guider les étudiants dans le parcours.
Sustainable Development Goals
● Industrie, Innovation et Infrastructure
● Villes et communautés durables
Number of SDG's addressed among the 17
2
Learning delivery
Mixte
Pedagogical methods
● Modules d’enseignement à distance SPOC
● Projet en groupe
● Séances présentielles de coaching
Evaluation and grading system and catch up exams
Final grade = Peer assessment, project and exercise included in the SPOC.
In case of catch-up (CF2), another project must be completed.
Module Policies
Professor-Student Communication
● The professor will contact the students through their school email address (IMT-BS/TSP) and the Moodle portal. No communication via personal email addresses will take place. It is the student responsibility to regularly check their IMT-BS/TSP mailbox.
● Students can communicate with the professor by emailing him/her to his institutional address. If necessary, it is possible to meet the professor in his office during office-hours or by appointment.
Students with accommodation needs
If a student has a disability that will prevent from completing the described work or require any kind of accommodation, he may inform the program director (with supporting documents) as soon as possible. Also, students are encouraged to discuss it with the professor.
Class behavior
● Out of courtesy for the professor and classmates, all mobile phones, electronic games or other devices that generate sound should be turned off during class.
● Students should avoid disruptive and disrespectful behavior such as: arriving late, leaving early, careless behavior (e.g. sleeping, reading a non-course material, using vulgar language, over-speaking, eating, drinking, etc.). A warning may be given on the first infraction of these rules. Repeated violators will be penalized and may face expulsion from the class and/or other disciplinary proceedings.
● The tolerated delay is 5 minutes. Attendance will be declared on Moodle during these 5 minutes via a QR code provided by the teacher at each course start.
● Student should arrive on time for exams and other assessments. No one will be allowed to enter the classroom once the first person has finished the exam and left the room. There is absolutely no exception to this rule. No student can continue to take an exam once the time is up. No student may leave the room during an examination unless he / she has finished and handed over all the documents.
● In the case of remote learning, the student must keep his camera on unless instructed otherwise by the professor.
Honor code
IMT-BS is committed to a policy of honesty in the academic community. Conduct that compromises this policy may result in academic and / or disciplinary sanctions. Students must refrain from cheating, lying, plagiarizing and stealing. This includes completing your own original work and giving credit to any other person whose ideas and printed materials (including those from the Internet) are paraphrased or quoted directly. Any student who violates or helps another student violate academic behavior standards will be penalized according to IMT-BS rules.
Textbook Required and Suggested Readings
1. La data, Guide de survie dans le monde de la donnée
de Benoît Cayla , ISBN-13 : 9782409037160
2. La boîte à outils de la Stratégie big data Broché – Livre grand format, 19 septembre 2018
de Romain Rissoan et Romain Jouin, ISBN-13 : 978-2100778980
3. Le big data des territoires: Open data, protection des données, smart city, civic tech, services publics... Les nouvelles stratégies de la donnée au service de l'intérêt général de Jacques Priol, ISBN-13 : 978-2364051614
Keywords
Données, Data, Innovation Digitale
Prerequisites
Connaissances managériales de base et compréhension préliminaire des technologies de l’information et de communication