| Code |
14900
|
| Year |
2
|
| Semester |
S1
|
| ECTS Credits |
6
|
| Workload |
TP(60H)
|
| Scientific area |
Mathematics
|
|
Entry requirements |
Basic notions of Descriptive Statistics.
|
|
Mode of delivery |
Face to face.
|
|
Work placements |
Not applicable.
|
|
Learning outcomes |
The aims of this Course Unit are:
- Encourage critical skills in constructing confidence intervals, formulating hypotheses and prediction and interpreting results;
- Encourage the application of probabilistic and statistical methods and techniques;
-Basic - Demonstrates general culture for the Probability and Statistics: historical evolution of concepts; expertise critical sense in arguing ideas.
-Scientific - Demonstrates knowledge of basic Math applied to Informatics; demonstrates basic knowledge of Probability and Statistics
-Operational - Know and dominates the basic mathematical language used in Probability and Statistics;
-Cross Outcomes - Understands and demonstrates general principles of ethics and morality, ability for teamwork, ability to keep records organized.
|
|
Syllabus |
- Brief revision of Descriptive Statistics;
- Combinatorics;
- Probability theory;
- Random variables. Probability distributions;
- Theoretical distributions;
- Interval estimation;
- Hypotheses tests;
- Nonparametric tests;
- Linear regression.
|
|
Main Bibliography |
- Principal:
- Guimarães, R. e Cabral, J. (1997). Estatística. McGraw-Hill.
- Murteira, B., Ribeiro, C., Andrade e Silva, J. e Pimenta, C. (2002). Introdução à Estatística. McGraw-Hill.
- Pedrosa, A. E Gama, S. (2004). Introdução Computacional à Probabilidade e Estatística. Fundação Calouste Gulbenkian. Lisboa.
- Pestana, D. Velosa, S. (2002). Introdução à Probabilidade e à Estatística. Fundação Calouste Gulbenkian. Lisboa.
-Complementary:
- Mood, A., Graybill, F. and Boes, D. (1985). Introduction to the Theory of Statistics. 3rd edition. International Student Edition.
- Draper, N. R. , Smith, H. (1998), Applied Regression Analysis, John Wiley and Sons, 3ª Edição.
|
|
Teaching Methodologies and Assessment Criteria |
The classes are of a theoretical-practical nature with exposition of the fundamental concepts of Probability Theory and Statistical Inference, exemplified with problems in the field of engineering, and problem solving, by students with professor guidance, with applications to the field of engineering.
The assessment is continuous, consisting of two written tests and 5 minitests carried out on the computer.
|
|
Language |
Portuguese. Tutorial support is available in English.
|