Code |
14778
|
Year |
2
|
Semester |
S1
|
ECTS Credits |
6
|
Workload |
TP(60H)
|
Scientific area |
Mathematics
|
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.
|
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.
|
Main Bibliography |
Principal Bibliography:
Probabilidades e Estatística para Ciências e Tecnologia.(2016) Esmeralda Gonçalves, Ana Cristina Rosa e Maria Emília Nogueira. Editora Almedina.
Complementary Bibliography:
Pestana, D. e Velosa, S. (2010). Introdução à probabilidade e à estatística, 4ª Ed., Fundação Calouste Gulbenkian. Cota: I-0.0-00025 Ross, S. (2009). Introduction to probability and statistics for engineers and scientists. Amsterdam Elsevier. Cota: F-1.8-01370 (CD)
|
Teaching Methodologies and Assessment Criteria |
The periodic evaluation consists of two written tests, 10 points each, on November 4 and December 16. Obtaining at least 3 points in each test and 9.5 points in total or more exempts the student from the final evaluation. The final evaluation consists of a written examination.
|
Language |
Portuguese. Tutorial support is available in English.
|