Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Bioinformática para Ciencias da Saúde |
Subjects |
Probability. statistics and elements of biomathematics |
Study programme competencies |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Probability. statistics and elements of biomathematics | Code | 614522007 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
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Code | Study programme competences / results |
A5 | CE5 - Development of skills in the management of statistical techniques and their application to data sets from the bioinformatics field. |
A6 | CE6 - Ability to identify software tools and most relevant bioinformatics data sources, and acquire skill in their use |
A10 | CE10 - Draft a bioinformatics research project, anticipating obstacles and possible alternative strategies to resolve them. |
B1 | CB6 - Own and understand knowledge that can provide a base or opportunity to be original in the development and/or application of ideas, often in a context of research |
B4 | CB9 - Students should know how to communicate their findings, knowledge and latest reasons underpinning them to specialized and non-specialized audiences in a clear and unambiguous way |
B5 | CB10 - Students should possess learning skills that allow them to continue studying in a way that will largely be self-directed or autonomous. |
C3 | CT3 - Use the basic tools of the information technology and communications (ICT) necessary for the exercise of their profession and lifelong learning |
C6 | CT6 - To assess critically the knowledge, technology and information available to solve the problems they face to. |
C8 | CT8 - Rating the importance that has the research, innovation and technological development in the socio-economic and cultural progress of society |
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