Multivariate Data Analysis and Statistical Softwares [SMATM102]
- 6 credits
- 30h+30h
- 2nd quarter
Learning outcomes
Basic statistical notions are required. At the end of the course, students will be able to develop theoretically and apply many methods that are typical in multivariate data analysis. Students will be able to work with 2 distinct statistical softwares and will be able to choose the most appropriate methods to tackle statistical problems.
Objectives
The objective of the course is to give mathematical tools to analyze multivariate data. At the end of the course, the student should be able to (i) display the necessary rigor tto understand the many theoretical results from the course,and (ii) choose the adequate statistical tools according to the data analyzed. Moreover, he should be able to explain and use these tools via statistical software.
Content
The course is an introduction to data analysis. Slides containing definitions, results and teir proofs will be available. Various methods of multivariate statistical analysis are presented, in a theoretical and practical way (exercices on computer).
Exercises description
Use of methods seen during the lecture by way of two different statistical or mathematical softwares : R and Matlab
Teaching methods
The course is a lecture, accompanied by practical works (use of statistical software), and a personal project of analysis of real statistical data. Course recordings will be made available on the university's virtual platform.
Evaluations
Personal work counts for half of the points of the examination. An oral examination, individual, counts for the second half of the points. The final grade is the average of both notes if both are larger than 10 and the minimum otherwise.
Recommended readings
All resources will be made available on Webcampus
Language of instruction
French / FrançaisLocation for course
NAMUROrganizer
Faculté des sciencesRue de Bruxelles, 61
5000 NAMUR
