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Code: | LEM22220 | Sigla: | PE |

Áreas Científicas | |
---|---|

Classificação | Área Científica |

OFICIAL | Matemática |

Ativa? | Yes |

Página Web: | https://moodle.ips.pt/2122/course/view.php?id=300 |

Unidade Responsável: | Departamento de Matemática |

Curso/CE Responsável: |

Sigla | Nº de Estudantes | Plano de Estudos | Anos Curriculares | Créditos UCN | Créditos ECTS | Horas de Contacto | Horas Totais |
---|---|---|---|---|---|---|---|

EM | 98 | Plano de Estudos | 2 | - | 6 | 60 | 162 |

Docente | Responsabilidade |
---|---|

Dina Maria Morgado Salvador |

Theorethical and Practical : | 4,00 |

Type | Docente | Turmas | Horas |
---|---|---|---|

Theorethical and Practical | Totais | 2 | 8,00 |

Dina Maria Morgado Salvador | 4,00 | ||

Vanda Isabel Pereira Rosado Silva | 4,00 |

- Solve problems involving models and probability distributions with discrete variables and with continuous variables;

- Understand the concept of random sample and solve problems involving sampling distributions;

- Characterize and apply estimators;

- Construct and interpret confidence intervals;

- Identify and apply the appropriate hypothesis test;

- Identify the relation between hypothesis testing and confidence intervals;

- Build and analyze a simple linear regression model.

2. Theoretical Distributions (TD): Discrete DT; Binomial and Poisson; Characterization. Continuous DT; Exponencial, Uniform and Normal. Brief reference to the Student-t, Chisquare and Snedecor F DT properties

3. Elements of Sampling Theory: Population and sample. Random Sample and Statistic. Sampling. Distribution.

4. Elements of Estimation Theory: Concept of Estimator; properties. Point and Interval Estimates. Confidence intervals.

5. Hypothesis Testing (HT): Null and alternative hypothesis, critical region, significance level, decision rule of the test, errors type I and type II and power of the test. Parametric HT of normal populations.

6. Simple Linear Regression: Regression line. Parameter estimation of best linear fit using the least squares approach. Concept of residuals. Empirical linear correlation coefficient.

Murteira, B.; Antunes, M; Probabilidades e Estatística, Lisboa: Escolar, 2012. ISBN: 978-972-592-359-7

Murteira, B.; Ribeiro, C. S.; Andrade e Silva, J.; Pimenta, C.; Introdução à Estatística, Escolar Editora, 2015. ISBN: 9788448160692

Galvão de Melo, F.; Probabilidades e Estatística: conceitos e métodos fundamentais, Escolar Editora. ISBN: 9789725921104

Reis, E. .[et al.]; Estatística Aplicada - Volume I e II, Edições Sílabo, 2003. ISBN: 9789726189862

Robalo, A.; Estatística - Exercícios, Volumes 1 e 2, Edições Sílabo, 2001. ISBN: 9789726189121, 9789726189367

- E-learning in the Moodle platform, providing access to the contents of UC through slides, videos, and solved and proposed exercises, promoting the holding of weekly activities.

Methodologies used are centered on knowledge of concepts and their applications.

With the classroom lectures are promoted the transmission of probability and statistical contents and its application through problem solving, mostly in contexts related to technology.

E-learning methodology, promotes discipline and autonomous work throw the weekly activities proposed, deepening the probability and statistical contents covered.

Designation | Peso (%) |
---|---|

Teste | 100,00 |

Total: |
100,00 |

Designation | Tempo (Horas) |
---|---|

Estudo autónomo | 120,00 |

Frequência das aulas | 60,00 |

Total: |
180,00 |

Continuous assessment is based on two (2) tests.

Designating by MT the average of the classifications of the 2 tests, the final classification (CF) will be rounded up to the units of the following value:

CF = MT = 0.5*T1+0.5*T2

The conditions for approval in the continuous assessment are as follows:

1. If CF (rounded to units) is greater than or equal to 10 and less than 18, the student is approved with a final grade equal to CF (rounded to units), provided that in any of the tests the score was greater than or equal to 6.5;

2. If CF (rounded to the nearest unit) is greater than or equal to 18, the student will have to take an oral exam, the final grade being the average of these two grades. If you do not attend the oral test, the final classification will be 17 values.

3. If the tests are carried out remotely, the maximum score that the student can obtain without undergoing an oral test will be 15 values.

To retrieve a test:

In order to pass a student with a score greater than or equal to 8.0 in one of the tests can retrieve the test with the lowest grade. A student who has less than 8.0 in one of the tests, who was not able to perform a test or has given up in one test can only recover that test.

The recovery of a test takes place at the exact day and time of the Normal Exam and in order to do so the student must enroll in due time.

Students who choose not to take the continuous assessment or have not obtained approval can attend the regular exams.

The exam-based assessment is subject to the following conditions:

1. If the exam grade (rounded to the units) is greater than or equal to 10 and less than 18 the student will pass with a final grade equal to the exam grade;

2. If the exam grade is greater than or equal to 18 the student will have to take an oral test and the final grade will be the average of the classifications of oral test and the exam (otherwise, the final grade will be 17)

3. If the exams are carried out remotely, the maximum score that the student can obtain without undergoing an oral exam will be 15 values.

**Continuous Assessment (or by Tests)**

**CF = 0.50*T1+0.50*T2**

**Exam-based Assessment**

**CF = Exam Grade**

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Página gerada em: 2024-11-14 às 20:54:25

Página gerada em: 2024-11-14 às 20:54:25