Objectives of Programme's Learning Outcomes

• Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
• Identify, describe and explain basic scientific and mathematical principles
• Identify, describe and explain the basic principles of engineering particularly in their specialising field
• Select and rigorously apply knowledge, tools and methods in sciences and engineering to solve problems involving these disciplines

Learning Outcomes of UE

Apply in theory as well as in practice the different concepts of probability and statistics seen in the course.

UE Content: description and pedagogical relevance

Notion of probability; combinatorial analysis; conditional probability; Bayes' theorem; notion of random variable; discrete and continuous probability distributions; expectation and moments; marginal and conditional distributions; covariance; correlation; independence; probabilistic algorithms

Descriptive statistics; inferential statistics; empirical mean and variance and their distribution; hypothesis testing; first and second chances; power of a test; p-value; comparison of population means; estimation theory; maximum likelihood method; introduction to statistical learning; bias-variance equilibrium; simple and multiple linear regression; logistic regression

Prior Experience

Calculus.