To achieve and understand the knowledge that provide foundations or changes of being original in the development and/or application of ideas, often in a context of research
To learn habilities that allow oneself to continue studying in a self-sufficient way.
To apply the theoretical foundations of data collection techniques, storage, treatment and presentation of the information, specially for large data sets, as a basis for the development and adaptation of these techniques to specific problems.
To use the advanced knowledge in Linear Algebra for its application in the analysis of large data sets.
Apply basic concepts of programming and data bases in the learning process of technologies and advanced methods for the treatment of large data sets.
To employ the basic results ol inference and regression as foundations for the advanced methods of prediction and classification
- Using the tools of Linear Algebra (matrices, factorization) and Calculus (multidimensional integration) in the design and analysis of methods for treatment of data
- Habilities for the application of the basic statistical techniques (different data displays, probabilities, distributions, sampling, estimation) to data analysis.
- Knowledge and use of basic programming concepts, structured programming, design of algorithms and relational data bases for the development of applications for the treatment of data.