Objectives of Programme's Learning Outcomes

• Manage research, development and innovation within chemistry and/or its applications.
• Understand unprecedented problems in chemistry.
• Help lead and complete a major development project, individually or in teams, related to chemistry.
• Demonstrate independence and their ability to work alone or in teams.
• Manage research, development and innovation within chemistry and/or its applications.
• Understand unprecedented problems in chemistry.
• Communicate clearly.
• Communicate the results of mathematical or related fields, both orally and in writing, by adapting to the public.
• Make a structured and reasoned presentation of the content and principles underlying a piece of work, mobilised skills and the conclusions it leads to.
• Develop and integrate a high degree of autonomy.
• Aquire new knowledge independently.

Learning Outcomes of UE

At the end of the instruction, the students will be able to :
- Identify the multivariate analysis technique according to the nature of the statistical variables
- to apply the techniques of analysis in principal components, analysis of the (multiple) correspondences and the automatic classification in the statistical treatment of multidimensional sets of data
- to use a software of multidimensional statistical analysis

Content of UE

- Singular values decomposition
- Principal components analysis
- (Multiple) correspondence analysis
- Techniques of classification (k-means, hierachical clustering)
- Support vector machines

Prior Experience

- Uni- and bivariate basic statistics
- Hypothesis tests
- Basic matrix algebra

Type of Assessment for UE in Q2

• Presentation and/or works

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

• Oral examination

Q3 UE Assessment Comments

Not applicable