Probability and Statistics for Computer Science

Probability and Statistics for Computer Science is an introductory course covering the fundamental concepts and methods of probability and statistics with applications in computer science. Students learn basic probability concepts such as events, probability space, random variables, as well as various discrete and continuous probability distributions. Within statistics, fundamental principles are addressed: sampling, population, parameters and estimates, as well as methods for testing statistical hypotheses and regression analysis. The course is also oriented towards the application of these methods in computer science, including machine learning, cryptography, data analysis, and network technologies, providing students with the necessary skills for data analysis and making informed decisions in the context of computer engineering.