Department of Ecology and Environment

Lecturer	Mohcen MENAA
Information	Master - Fundamental and Applied Ecology Department of Ecology and Environment Website : https://www.univ-soukahras.dz/en/module/3308 Semester : S3 Unit : UEM2 Credit : 3 Coefficient: 2
Content	Part One - Introduction 1.1. What is Data Mining? 1.2. What is the Purpose of Data Mining? Part Two - 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. Modeling 2.3. Least Squares Estimators 2.4. Geometric Interpretation 2.5. Examples Part Three - Factor Analysis Chapter 03: Principal Component Analysis (PCA) 3.1. Principle of PCA 3.2. Variable Representation 3.3. Individual Representation 3.4. Using PCA 3.5. Choosing the Number of Factor Axes Chapter 04: Correspondence Analysis (CA) 4.1. Principle of CA 4.2. Chi-squared Distance 4.3. Inertia of Data Points 4.4. Graphical Representation and Interpretation Chapter 05: Multiple Correspondence Analysis (MCA) 5.1. Principle of MCA 5.2. Chi-squared Distance 5.3. Inertia of Data Points 5.4. Graphical Representation and Interpretation
Evaluation	Assessment and Weighting Assessment Weighting (%) Final Exam 50 Tutorials / Practical Work 50 Total 100 Practical Work 100%: 50% Lab Reports 25% Tests 25% Attendance