UE Code : IM1-OI-AD1-S7 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 :

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 :

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