A3994 Experimental Design and Data Analysis

Prerequisites

 Statistics or equivalent

Course Objectives

 The student will be able to make - introductory level - multivariate data analysis, and to design factorial experimental designs of different types. The objective is to analyse multivariate data by use of chemometric methods. An introduction to PCA, MLR, PCR and PLS-R will be given. The course includes extensive use of practical technological applications.

Learning Methods

 Lectures and exercises

Course Description

Topics include:

• Experimental design, 
• randomization, 
• significant testing, 
• factorial design, 
• fractional factorial design, 
• MK and response surface methods, 
• regression, 
• MLR, PCA (principal component analysis) multivariate calibration: PCR (principal component regression), 
• PLS-R (partiel least squares regression). 
• Overview of multivariate data analytical methods. 
• Applications and examples. 
• Computer exercises.

Assessment Methods

 Evaluations (40%) will be made periodically throughout the semester, Individual, written final examination 60%.No study aids permitted.