Probabilities and Statistics

Computer Engineering
6 ECTS; 2º Ano, 1º Semestre, 28,0 T + 14,0 PL + 28,0 TP + 5,0 OT

Lecturer
- Luis Miguel Lindinho da Cunha Mendes Grilo

Prerequisites
Mathematical Analysis and Algebra

Objectives
Provide the basics of some key techniques and methodologies of Statistics, mainly quantitative, so that students can design and implement solutions to different problems under uncertainty conditions.

Program
1. Probability (axioms and theorems), 2. discrete and continuous random variables; 3. Some theoretical probability distributions (discrete and continuous); 4. Sampling(mean, variance and sample proportion)
5. Point and interval estimation parameters,
6. Parametric hypothesis tests (mean, variance and population proportion);
7.Correlation and simple linear regression

Evaluation Methodology
Continuous assessment:two written tests; Examination assessment: one written test.

Bibliography
- Gama, S. e Pedrosa, A. (2004). Introdução Computacional à Probabilidade e Estatística. Porto - Portugal: Porto Editora
- Cabral, J. e Guimarães, R. (2007). Estatística. Lisboa - Portugal: McGraw-Hill
- Grilo, L. (2013). Probabilidades e Estatística. Conceitos Teórico-Práticos. Instituto Politécnico de Tomar, Portugal: Instituto Politécnico de Tomar

Method of interaction
Lectures, tutorials and laboratory classes.

Software used in class