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M3201 - Probabilities and statistics
Semester 3 - Hours: 45 : 15h CM, 16h TD, 14h TP
Module objectives: · To model, analyse and process information. |
Skills covered: · Understanding the concept of risk and uncertainty, being able to read data involving figures from a critical standpoint. |
Prerequisites: · M2202 |
Content: · Discrete laws (concept of series). · Continuous laws (elements of integral calculus). · Law of large numbers and the central limit theorem. · Inferential statistics: point estimation and estimation by confidence intervals, regression, tests and p-values.
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Implementation procedures: · Creation and use of simulations. · Use of statistics software. |
Possible extensions: · Introduction to Markov chains, Monte Carlo methods. · Principal component analysis. · Multiple linear regression. · Introduction to time series. |
Key words:
Estimation; Quality control; Simulations; Statistical tests, Random variables |