Applied Multivariate Analysis (ΣΕΕ10)

• Ελληνική Έκδοση
• Graduate Courses Outlines
• Department of Mathematics

General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Graduate
Course Code	ΣΣΕ10
Semester	2
Course Title	Applied Multivariate Analysis
Independent Teaching Activities	Lectures-Laboratory (Weekly Teaching Hours: 3, Credits: 7.5)
Course Type	Specialized general knowledge
Prerequisite Courses	-
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes (in English, reading Course)
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes

Students completing this course should be able to: Apply basic multivariate methods of statistical analysis Choose the appropriate method of multivariate data analysis for a given multivariate data set, depending on the objectives of the study Implement methods of dimension reduction Interpret the results of multivariate data analyses. Carry out multivariate data analysis through a statistical software (SPSS, SAS, Matlab, R)

General Competences

Working independently Decision-making Production of free, creative and inductive thinking Project planning and management Criticism and self-criticism

Syllabus

This course covers the following topics with applications mainly with SPSS and R: Graphical display of multivariate data, Data reduction techniques, Principal component analysis, Factor analysis, Canonical correlation analysis, Cluster analysis, Discriminant analysis, MANOVA, Repeated measurement analysis, Neural Networks. Applications with SPSS and R.

Teaching and Learning Methods - Evaluation

Delivery	Classroom (face-to-face)
Use of Information and Communications Technology	Use of ICT in communication with students
Teaching Methods	Activity Semester Workload Lectures 39 Working independently 78 Exercises-Homework 70.5 Course total 187.5
Student Performance Evaluation	Final written exam in Greek (in case of Erasmus students in English).

Attached Bibliography

• Anderson, T.W. (2003). An Introduction to Multivariate Statistical Methods, 3nd ed., Wiley.
• Giri, N.J. (2004). Multivariate Statistical Analysis, 2nd edition, Marcel Dekker, New York.
• Johnson, R. A. and Wichern, D.W. (1998). Applied Multivariate Statistical Analysis, 4th ed. Prentice Hall.
• Timm, N. H. (2002). Applied Multivariate Analysis. Springer.
• Καρλής, Δ. (2005).Πολυμεταβλητή Στατιστική Ανάλυση. Εκδόσεις Σταμούλη
• [Περιοδικό / Journal] Journal of Multivariate Analysis