UE Code : IM1-OI-AD1-S71 Academic year : 2016-2017

Information on the course unit

Program / Education :

Master of Science / Master International agribusiness

Level :

First year of the Master International agribusiness

Language(s) :


Studies organization

Credits :


Semester :


Total Hours :

37.50 (Hours of teaching + individual study)


Objectives :

To be able:
- To ”identify” data and prioritize it so that appropriate data processing methods can be used (multivariate descriptive techniques)
- To display very large data tables
- To understand and apply the mathematical foundations of the methods used
- To describe and interpret the results obtained using statistics software (R)

Contents :

- General concepts (different types of variables, tables, coding)
- Distances (similarity, dissimilarity, known distance indexes)
- One-table descriptive methods: Principal Component Analysis (PCA), Correspondence Factor
Analysis (CFA) and Multiple Correspondence Factor Analysis (MCFA)
- Two-table descriptive methods: Multiple Factor Analysis (FMA)
- Classification methods (Ascending Hierarchical Classification – CAH, K-Means, etc.)

Prerequisites :

Office automation, database, basic linear algebra, descriptive and inferential statistics.

Teaching methods :

Alternating Lectures (CM) and Seminars (TD) (with laptop computer and Virtual Desktop Interface - VDI)


Assessment :

Written Exam 2 hrs 30 mins (without document support)

Bibliography :

International Agribusiness Master

A 3 semester program that aims to:
• Prepare  future  executives  capable  of  establishing  and  developing  agribusiness relations worldwide;
• Offer future executives, who already have acquired a technical training in the field of  agriculture  and  food  industry, a thorough practical knowledge of positions related to international trade in the European and other economic blocks markets context