2024
Multivariate Data Analysis
Name: Multivariate Data Analysis
Code: MAT02557L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mathematics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
Provide students with the capabilities to:
- Employing univariate response models
- Interpret and use multivariate linear models of response.
- Use the Dimensionality reduction techniques based on new variables obtained at the expense of the original variables.
- Interpret the new variables and analyze the values of individuals in the new variables.
- Group or individuals, or groups variables.
- Use with comfortable Statistical Software (fundamentally SPSS).
- Employing univariate response models
- Interpret and use multivariate linear models of response.
- Use the Dimensionality reduction techniques based on new variables obtained at the expense of the original variables.
- Interpret the new variables and analyze the values of individuals in the new variables.
- Group or individuals, or groups variables.
- Use with comfortable Statistical Software (fundamentally SPSS).
Contents
Elementary concepts of the theory of matrices. The Multivariate Normal Distribution. Univariate analysis of variance. Multivariate Analysis of Variance. Non-Parametric Tests (Multivariate).Principal Component Analysis. Factorial Analysis. Cluster Analysis.
Teaching Methods
Theoretic and practices lectures taught in the blackboard with the support of a connection for e-learning tools and use of transparencies. To solve problems in their field of applications.
Resolution of exercises proposed in classes either with the software installed on computers or with the calculators and tables.
Assessment methods: Evaluation by final exam, or by two tests. To take into account students? performance and work during regular classes for final grade if it?s beneficial for the student.
Resolution of exercises proposed in classes either with the software installed on computers or with the calculators and tables.
Assessment methods: Evaluation by final exam, or by two tests. To take into account students? performance and work during regular classes for final grade if it?s beneficial for the student.
Teaching Staff
- Dulce Gamito Santinhos Pereira [responsible]