The goal of the course is to provide the students with the theoretical and methodological knowledge necessary to work with continuous and discrete-time signals and LTI (linear and time-invariant) systems in the time and frequency domain.
Upon successful completion of the course a student will gain the following competences and skills.
Basic competences:
- CB1: assimilate knowledge in a field of study that starts from a high-school background and attains a level that, while still supported by advanced textbooks, also includes topics corresponding to the state of the art in the field.
- CB2: the student will be able to apply his knowledge in a professional environment and will gain the skills needed to construct arguments and advocate them, as well as to solve problems in the field of study.
- CB5: the student will develop the learning skills needed to undertake graduate education and enjoy a great extent of autonomy.
General competences:
- CG1: knowledge and skills needed to analyse and summarise fundamental problems in the field of data science and engineering, to solve these problems and communicate the solutions efficiently.
- CG2: knowledge of fundamental scientific and technical subjects that enable the student to learn new technologies and methodologies, as well as to gain the versatility of thought needed in order to adapt to new scenarios.
Specific competences:
- CE11: ability to analyse and process both digital and analog signals, both in time domain and frequency domain.
