Teacher(s)
Masset Julie (compensates Poncin Ingrid); Poncin Ingrid;
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.
Main themes
This course is an introduction to Marketing Studies. The objective is
Introduction
Qualitative methodologies
Market study approach
Causal study
The panels
webanalytics
- on the one hand to present a set of methods and tools for the collection and analysis of primary and secondary data,
- and on the other hand to involve students in a market research process
Introduction
Qualitative methodologies
Market study approach
Causal study
The panels
webanalytics
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 | Given the « competencies referential » linked to the LSM Bachelor in Management and Business Engineering, this course mainly develops the following competencies:
At the end of the class, the student will be able to:
|
Content
This course aims to introduce you to Marketing Studies
-The objective is to present a set of methods and tools for the collection and analysis of primary and secondary data
-The objective is also to involve you in a market research process
-It also aims to make participants conscious of the need to be rigorous - and to give them the tools to do so - with regard to market research and marketing consulting firms, whose services they may need to call on.
-The objective is to present a set of methods and tools for the collection and analysis of primary and secondary data
-The objective is also to involve you in a market research process
-It also aims to make participants conscious of the need to be rigorous - and to give them the tools to do so - with regard to market research and marketing consulting firms, whose services they may need to call on.
Teaching methods
Courses
Reading
Case studies
Conducting a marketing survey and writing a report
Participation in marketing studies/research
E-learning
Reading
Case studies
Conducting a marketing survey and writing a report
Participation in marketing studies/research
E-learning
Evaluation methods
10% Google Analyptics Certificate
30% Continuous assessment
NB: In case of failure in January, the grade of the continuous control will be automatically postponed to September, only the written exam (60%) can be retaken.
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.
30% Continuous assessment
- Collective work in class
- -Participation in a marketing research
- -Marketing study report
NB: In case of failure in January, the grade of the continuous control will be automatically postponed to September, only the written exam (60%) can be retaken.
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.
Online resources
Course materials and online resources are available on Moodle.
Bibliography
MALHOTRA, N. Études marketing, 6e édition, Pearson
JOLIBERT A., DELACROIX E., MONNOT E., et JOURDAN P. (2020), Marketing Research : Méthodes de recherche et d’études en marketing (ouvrage collectif), 2ème édition, Dunod
JOLIBERT A., DELACROIX E., MONNOT E., et JOURDAN P. (2020), Marketing Research : Méthodes de recherche et d’études en marketing (ouvrage collectif), 2ème édition, Dunod
Faculty or entity