Electronics Engineering

Learning goals The primary educational objective of the course is students' learning of the main theoretical aspects related to probability and statistical inference. Students must also be able to solve the analytical problems necessary to apply the aforementioned theoretical concepts. Knowledge and understanding. At the end of the course the students know and understand the main aspects related to the theory of probability and the statistical methodology. Furthermore, students will learn the main methods useful to solve the problems linked to the uncertainty and data analysis. Applying knowledge and understanding. At the end of the course students are able to formalize problems related to uncertainty in terms of probabilistic problems and to apply the specific statistical methods to solve them. They are also able to model engineering phenomena through remarkable probabilistic structures. Making judgements. Students develop critical skills through the application of theory to a wide range of statistical models. They also develop the critical sense through the comparison between alternative solutions to the same problem obtained using different methodological tools of the data analysis. Communication skills. Students, through the study and the practical exercises, acquire the technical-scientific language of the probability, which must be properly used both in the final test. Learning skills. Students who pass the exam have learned the basic concepts of probability and statistical inference that allow them to deal with issues related to decision problems for engineering.