| Code |
10134
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| Year |
2
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| Semester |
S1
|
| ECTS Credits |
6
|
| Workload |
TP(60H)
|
| Scientific area |
Mathematics
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|
Entry requirements |
Integral and Differential Calculus.
|
|
Mode of delivery |
Face-to-face.
|
|
Work placements |
Not applicable.
|
|
Learning outcomes |
To apply strategies of Statistical Inference.
At the end of this UC students should be able to:
a) identify issues of science and biological and medical technologies that can be solved with probability strategies and statistical inference;
b) build probabilistic models appropriate to the problems;
c) select and apply strategies of Statistical Inference in solving problems.
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|
Syllabus |
1. Introduction to Probability Theory: Independence and conditioning; Distributions Binomial, Hypergeometric, Geometric, Poisson, Normal; moments and the Central Limit Theorem.
2. Introduction to Statistical Inference: estimation by the method of moments; properties of estimators; confidence intervals; tests of hypotheses.
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Main Bibliography |
Introdução Computacional à Probabilidade e Estatística, Pedrosa, A. e Gama, S. (2007) Porto Editora
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Language |
Portuguese. Tutorial support is available in English.
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