COMPETENCES AND SKILLS THAT WILL BE ACQUIRED AND LEARNING RESULTS.
- Acquisiton of knowledge and skills that provide with a background of creativity in the development and application of ideas, often within a research context.
- Ability to apply acquired knowledge and to solve problems under novel or almost novel situations or within broader (multidisciplinar) contexts related with Signal Processings
- Acquisition of skills for learning in an autonomous and continuated manner.
- Systematic comprehension of signal processing as a discipline of study and of the research skills and methods related with Signal Processing
- Ability to perform a critical analysis and synthesis of new and complex ideas.
- Ability to study and review scientific and technical documents about signal processing
- Ability to capture a deep view of the state-of-the-art in signal processing technology, as well as to forecast the near future in the field
- Ability to carry out an original work in a specific signal processing topic, including its presentation and discussion with other scientists
- Application of math, statistics and science to signal processing problems
- Ability to design and carry out experiments, as well as to analize and interpret their outcome
- Deep knowledge of advanced signal processing techniques such as linear filtering, adaptive filters, stochastic filtering in dynamical systems, and their application
- Ability to solve estimation and prediction problems in dynamic systems, including state space models and stochastic filters design.
- Deep understanding of adaptive algorithms, including steepest descend, least squares and non-linear versions. Ability to efficiently apply those algorithms in adaptive signal processing problems.