Advanced research methods in Marketing (in French)

LLSMS2005  2016-2017  Louvain-la-Neuve

Advanced research methods in Marketing (in French)
5.0 credits
30.0 h
2q

Teacher(s)
Kestemont Marie-Paule ; Swaen Valérie (compensates Kestemont Marie-Paule) ;
Language
Français
Main themes
Design a study, final presentation Themes : Analyse discriminante, analyse factorielle, analyse typologique, analyse multidimensionnelle des similarités, analyse conjointe
Aims
Drive a full market study including multivariate techniques and advanced methods.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

Content
Summary, content and methods " Summary and content " see " scope " above and " methods " see " methods " below Content See "scope" above Methods In-class activities - Lectures - Micro-teaching (partly presented by students) - Exercices/PT - Project based learning - other: survey At home activities - Readings to prepare the lecture - Exercices to prepare the lecture - Paper work - Students presentation
Other information
Prerequisites Basic Marketing, Market Research n°1 (LSMS2000) Evaluation : Case studies preparation (group and/or individual) Support : Textbook recommended and slides & cases provided through iCampus References : Provided during the class Pedagogic team : Professor's weekly open door Other : - Internationalisation - international content - international case study Corporate features - case study - other : survey Techniques and tools for teaching and learning - IT tools - modelling - quantitative methods - qualitative methods - mathematics - other : statistics
Faculty or entity<


Programmes / formations proposant cette unité d'enseignement (UE)

Program title
Sigle
Credits
Prerequisites
Aims
Master [120] in Management
5
-

Master [120] in Management
5
-

Master [120] in Business Engineering
5
-

Master [120] in Business Engineering
5
-

Master [120] in Statistics: General
5
-