| Code |
16218
|
| Year |
1
|
| Semester |
S2
|
| ECTS Credits |
6
|
| Workload |
TP(60H)
|
| Scientific area |
Mathematics
|
|
Entry requirements |
Differential and integral calculus
|
|
Learning outcomes |
Upon successful completion of the course, the student should be able to:
- Select and apply Probability and Statistics methods to solve problems in the domain of Web-oriented Computer Science;
- Contribute to the design and execution of studies involving statistical data analysis using R, and critically interpret the results obtained.
|
|
Syllabus |
1. Descriptive Statistics: frequency tables and graphical representations for univariate and bivariate statistical variables; descriptive measures of location, dispersion, and shape.
2. Introduction to Probability Theory: axioms and properties of probability; conditional probability and independence of events; discrete and continuous random variables; Binomial and Normal distributions; properties of the sample mean.
3. Introduction to Statistical Inference: point and interval estimation; hypothesis testing.
4. Simple Linear Regression: simple linear regression model; least squares method; interpretation of coefficients and assessment of goodness of fit.
|
|
Main Bibliography |
- Figueiredo, F., Figueiredo, A., Ramos, A. e Teles, P. (2009). Estatística Descritiva e Probabilidades Problemas Resolvidos e Propostos com Aplicaçõees em R. Escolar Editora. Cota: EG-4.2-00440
- Gonçalves, E., Nogueira, E. e Rosa, A.C. (2016). Probabilidades e Estatística para Ciências e Tecnologia. Conceitos e exercícios resolvidos. Almedina. Cota:M-7.0-00028
- Montgomery, D. e Runger, G. (2011). Applied statistics and probability for engineers, 5ª Edi¸c˜ao, John Wiley & Sons. Cota: MD-14-00531
- 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 |
Assessment is carried out through five mini-tests (T1, T2, T3, T4, and T5) and two written tests (F1 and F2), graded on a scale from 0 to 20. Each mini-test has a weight of 0.05 and each written test a weight of 0.375.
The continuous assessment grade (CEA) is calculated as follows:
CEA = 0.05 × (T1 + T2 + T3 + T4 + T5) + 0.375 × (F1 + F2).
Exemption from the final exam is granted when CEA = 9.5 and attendance is = 80% in the first enrolment or = 50% in subsequent enrolments.
The classification “FREQUENCY” is awarded when 5.0 = CEA < 9.5, provided attendance requirements are met.
The classification “NOT ADMITTED” is assigned when CEA < 5.0 or when attendance requirements are not fulfilled.
The lecturer may require an additional oral examination to validate the final grade.
|
|
Language |
Portuguese. Tutorial support is available in English.
|