Department of Biological Sciences

Lecturer	Mohcen MENAA
Information	Master - Aquatic Ecosystems Department of Biological Sciences Website : https://www.univ-soukahras.dz/en/module/3329 Semester : S3 Unit : UEM2 Credit : 3 Coefficient: 2
Content	-First part- INTRODUCTION 1.1. What is data mining 1.2. What is data mining used for? -Second part- LINEAR REGRESSION Chapter 01: Simple linear regression 1.1. Introduction 1.2. Statistical modeling 1.3. Least squares estimators 1.4. Geometric interpretations 1.5. Statistical inference 1.6. Examples Chapter 02: Multiple linear regression 2.1. Introduction 2.2. Modelization 2.3. Least squares estimators 2.4. Geometric interpretation 2.5. Examples -Second part- FACTOR ANALYSIS Chapter 03: Principal component analysis 3.1. PCA principle 3.2. Representation of variables 3.3. Representation of individuals 3.4. Using PCA 3.5. Choice of the number of factorial axes Chapter 04: Factorial correspondence analysis 4.1. Principle of AFC 4.2. Distance from x2 4.3. Point cloud inertia 4.4. Graphical representation and interpretation Chapter 05: Multiple Correspondence Analysis 5.1. Principle of ACC 5.2. Distance from x2 5.3. Point cloud inertia 5.4. Graphical representation and interpretation
Evaluation	Continuous assessment and written exam.