| Code |
14000
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| Year |
2
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| Semester |
S1
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| ECTS Credits |
6
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| Workload |
TP(60H)
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| Scientific area |
Mathematics
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|
Entry requirements |
Mathematical Calculus
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Mode of delivery |
Face-to-face
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Learning outcomes |
- Basic - Demonstrates general knowledge regarding the statistics: historical perspective and contemporary; rhetoric and expertise critical sense in arguing ideas.
- Scientific - Demonstrates knowledge of basic Mathematics applied to management; demonstrates basic knowledge of statistics;
- Operational - Knows and dominates the basic mathematical language used in Statistics;
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Syllabus |
1. Elements of Probability.
2. Real random variables.
3. Special Random Variables.
4. Sampling and Distributions of Sampling Statistics.
5. Parameter estimation.
6. Hypothesis Testing.
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Main Bibliography |
- Guimarães, R. C. e Sarsfield Cabral, J. A. (2010). Estatística - 2 a edição. Editora McGraw-Hill.
- Murteira, B., Ribeiro, C., Silva, J. e Pimenta, C. (2008). Introdução à Estatística - 2 a edição. McGraw-Hill, Lisboa.
- Paulino, C. e Branco, J. (2006), Exercícios de Probabilidades e Estatística, Escolar Editora.
- Sheldon M. Ross (2014), Probability and Statistics for Engineers and Scientists. Fifth Edition. Academic Press.
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Teaching Methodologies and Assessment Criteria |
The teaching methodology is based on theoretical-practical lessons. The theoretical part is carried out through the explanation of the subjects, accompanied by examples and dialoguing with the students to whom written notes are provided. The practical part is based on the resolution of assignments both with guidance and autonomously.
Assessment undertaken throughout the teaching-assessment period will consists of three written tests. The student will also be given the possibility of a final exam.
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Language |
Portuguese. Tutorial support is available in English.
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