Teacher(s)
Language
French
Prerequisites
/
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
Digital marketing plays a key role in the evolution of marketing practices. This course aims to learn theoretical a practical knowledge on innovative approach and last digital marketing trends. Theses Marketing Digital trends will be put in perspective with consumer behavior and organization practices. In this context, regular seminars are organized on main themes defined every year for example: Digital ecosystem, digital foots, collaborative economy, gamification, consumer experience, IoT (Internet of Objects), content customization, ... .
The students will realize a project in direct link with the approached themes.
The students will realize a project in direct link with the approached themes.
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 | Given the « competencies referential » linked to the LSM Master 120 in Management and in Business Engineering, this course mainly develops the following competencies:
|
Content
Digital marketing is playing an increasingly central role in the evolution and practice of marketing.
This course aims at acquiring a theoretical and practical understanding of innovative approaches and the latest trends in digital marketing. These trends in digital marketing will be put into perspective with consumer behavior and organizational practices.
Regular seminars are organized on themes defined each year such as: the digital ecosystem, the digital footprint of a company, the collaborative economy, gamification, consumer experience, the Internet of IoT objects, content, personalisation... .
This course aims at acquiring a theoretical and practical understanding of innovative approaches and the latest trends in digital marketing. These trends in digital marketing will be put into perspective with consumer behavior and organizational practices.
Regular seminars are organized on themes defined each year such as: the digital ecosystem, the digital footprint of a company, the collaborative economy, gamification, consumer experience, the Internet of IoT objects, content, personalisation... .
Teaching methods
Lectures (+ Professional speakers)
Case studies
Digital Intelligence
E-learning
Readings
Moodle and Teams platforms for distance interactions.
Case studies
Digital Intelligence
E-learning
Readings
Moodle and Teams platforms for distance interactions.
Evaluation methods
Continuous evaluation (seminar participation, digital monitoring and e-learning)
Oral exam
Note: In all work for this course (individual or group), sources of information must be systematically cited, in compliance with bibliographic referencing standards. If the student has used a generative AI, he/she is required to systematically indicate which parts of the work have been processed using this tool, adding a footnote specifying whether the AI was used and for what purpose (information retrieval, text writing and/or text correction). Students remain fully responsible for the content of their work, regardless of the sources used. Thus, by submitting a piece of work for assessment, the student affirms: (i) that it faithfully reflects the phenomenon studied, and for this he/she must have verified the facts; (ii) that he/she has complied with all the specific requirements of the work entrusted to him/her, in particular the requirements for transparency and documentation of the scientific approach used. If any of these statements is not true, whether intentionally or through negligence, the student is in default of his/her ethical commitment to the knowledge produced in the course of his/her work, and possibly to other aspects of academic integrity, which constitutes academic misconduct and will be considered as such.
Oral exam
Note: In all work for this course (individual or group), sources of information must be systematically cited, in compliance with bibliographic referencing standards. If the student has used a generative AI, he/she is required to systematically indicate which parts of the work have been processed using this tool, adding a footnote specifying whether the AI was used and for what purpose (information retrieval, text writing and/or text correction). Students remain fully responsible for the content of their work, regardless of the sources used. Thus, by submitting a piece of work for assessment, the student affirms: (i) that it faithfully reflects the phenomenon studied, and for this he/she must have verified the facts; (ii) that he/she has complied with all the specific requirements of the work entrusted to him/her, in particular the requirements for transparency and documentation of the scientific approach used. If any of these statements is not true, whether intentionally or through negligence, the student is in default of his/her ethical commitment to the knowledge produced in the course of his/her work, and possibly to other aspects of academic integrity, which constitutes academic misconduct and will be considered as such.
Other information
This course module is recommended for students who wish to take the Digital Marketing Immersion option in Q3.
Online resources
Moodle and Teams
Bibliography
Support de cours: Slides (Pwt du cours et des interventions professionnelles)
Références bibliographiques recommandées, lectures conseillées :
Chaffey D., Ellis-Chadwick F. (2020), Marketing digital, adapté en français par Henri Isaac, Pierre Volle, Maria Mercanti-Guérin, Pearson.
Suivi très régulier de l'actualité du digital marketing: repérage des initiatives innovantes, des opérations entrant dans le cadres des nouvelles tendances, etc.
Lecture de magazines, sites Internet, veille stratégique et opérationnelle sur les tendances en digital marketing.
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Management
Master [120] in Chemical and Materials Engineering
Master [120] in Civil Engineering
Master [120] in Biomedical Engineering
Master [120] in Mechanical Engineering
Master [120] in Business Management
Master [120] in Electrical Engineering
Master [120] in Physical Engineering
Master [120] in Computer Science and Engineering
Master [120] in Computer Science
Master [120] : Business Engineering
Master [120] in Management
Master [120] in Mathematical Engineering
Master [120] in Data Science Engineering
Master [120] : Business Engineering
Master [120] in Energy Engineering
Master [120] in Management (with work-linked-training)