• Description

This course is designed to provide the student with an integrated, in-depth but applied approach to multivariate data analysis. The course aims to provide students with a set of research tools that allow them to better analyze and understand the data from experiments where systems, networks or processes are analyzed and to satisfactorily explain the results obtained in scientific articles. Corresponding topics include, but are not limited to, the following: Multiple Regression, ANOVA, ANCOVA, Outlier Detection, Data Representation, Principal Component Analysis, Factor Analysis, Cluster Analysis.

• The subject within the syllabus as a whole

This is an optional course for those interested in the study of multivariate data.

• Professional fields to which it applies

The course provides students with the necessary foundations of a data analyst.

• Prior knowledge

It is advisable to have previous knowledge on linear algebra and programming. It is necessary to be able to read texts in English, although the book we follow is in Spanish.

• Information prior to enrolment

• Coordinating Professor: Dr. Agusti Solanas (http://smarttechresearch.com);
• Description: This course is designed to provide students with an integrated, in-depth but applied approach to multivariate data analysis. The course aims to provide students with a set of research tools that allow them to better analyze and understand the data from experiments where systems, networks or processes are analyzed and to satisfactorily explain the results obtained in scientific articles. Corresponding topics include, but are not limited to, the following: Multiple Regression, ANOVA, ANCOVA, Outlier Detection, Data Representation, Principal Component Analysis, Factor Analysis, Cluster Analysis.
• Requirements: Ability to read scientific texts in English. Basic programming knowledge.
• Material: Notes, scientific articles and books.

• Content

Refer to the weekly-based planning

• Additional information on support tools and learning resources

• Guidelines on assessment at the UOC

The assessment process is based on students' own work and the assumption that this work is original and has been carried out by them.

In assessment activities, the following irregular behaviours, among others, may have serious academic and disciplinary consequences: someone else being involved in carrying out the student's assessment test or activity, or the work being not entirely original; copying another's work or committing plagiarism; attempting to cheat to obtain better academic results; collaborating in, covering up or encouraging copying; or using unauthorized material, software or devices during assessment.

If students are caught engaging in any of these irregular behaviours, they may receive a fail mark (D/0) for the assessable activities set out in the course plan (including the final tests) or in the final mark for the course. This could be because they have used unauthorized materials, software or devices (e.g. social networking sites or internet search engines) during the tests, because they have copied text fragments from an external source (internet, notes, books, articles, other student's projects or activities, etc.) without correctly citing the source, or because they have engaged in any other irregular conduct.

In accordance with the UOC's academic regulations , irregular conduct during assessment, besides leading to a failing mark for the course, may be grounds for disciplinary proceedings and, where appropriate, the corresponding punishment, as established in the UOC's coexistence regulations.

In its assessment process, the UOC reserves the right to:

• Ask the student to provide proof of their identity, as established in the university's academic regulations.
• Request that students provide evidence of the authorship of their work, throughout the assessment process, both in continuous and final assessment, by means of an oral test or by whatever other synchronous or asynchronous means the UOC specifies. These means will check students' knowledge and competencies to verify authorship of their work, and under no circumstances will they constitute a second assessment. If it is not possible to guarantee the student's authorship, they will receive a D grade in the case of continuous assessment or a Fail in the case of final assessment.

  For this purpose, the UOC may require that students use a microphone, webcam or other devices during the assessment process, in which case it will be the student's responsibility to check that such devices are working correctly.

• View the assessment model