UE Code : IM1-FCAA-OC Academic year : 2016-2017

Information on the course unit

Program / Education :

Bachelor and Master of Science in Engineering / Bachelor and Master of Science in Engineering

Level :

First year of Master of Science in Engineering

Language(s) :


Studies organization

Credits :


Semester :


Total Hours :

69.50 (Hours of teaching + individual study)


Objectives :

- To be able to" identify" data, determine their priorities/put them in hierarchical order, and use appropriate processing methods (descriptive and/or explanatory methods).
- To be able to process large-scale charts.
- To be able to describe and interpret results obtained with various statistics softwares capable.
- To be able to use a few statistic softwares partially.
- To be able to understand the mathematical foundations of the used methods.

Contents :

- General knowledge (the different types of variables, charts, encoding)
- Distances (similarity and dissimilarity indexes, known distances )
- Descriptive methods: statistical tests , factorial methods (Principal Component Analysis, Correcpondance Analysis, Multiple Correspondance Analysis)
- Classification methods (AHC and other methods)
- Explanatory methods : Segmentation - Multiple linear regression

Prerequisites :

Linear algebrae - Simple linear regression.

Teaching methods :

alternation of lectures - tutorials - practicals / case study / use of Statbox, Question, Statlab software

Assessment :

- 1 individual written exam (coef 2)
- 1 "case study" report (coef 1)

Bibliography :

1st year of Master of Science in Engineering

The 1st year of Master of Science in Engineering includes common core courses, majors and inter-major courses.

Majors: students will choose only one major according to his background

• Vine and Wine: sustainable productions and international market (ViVi)
• Food processing, food science, nutrition and quality (TAQ)
• Crop production and agroecology (PVA)
• Environmental and sustainable Engineering (IED)
• Animal production: livestock farming and livestock industry (PA)
• Business management, corporate consultancy and international trade and Markets (PCE/CMI)

Common core courses (CC) are engineering tools and Social Sciences. All of them are compulsory.

Inter-major modules (MIM): students will choose only one according to their major