Code: | M4154 | Acronym: | M4154 | Level: | 400 |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Mathematics |
Active? | Yes |
Responsible unit: | Department of Mathematics |
Course/CS Responsible: | Master in Computational Statistics and Data Analysis |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
M:ECAD | 12 | Study plan since 2021/2022 | 1 | - | 6 | 42 | 162 |
1. Train the student for regression analysis involving continuous or discrete responses (generalized linear models)
2. Implement statistical analyses in suitable software
3. Promote critical thinking in a data analysis process (data collection, modeling, interpretation of results,...)
1. Pearson and Spearman correlation.
2. Simple linear regression. Parameter estimation by the least square method and the maximum likelihood method
3. Multiple linear regression. Model and underlying assumptions, parameter estimation, hypothesis tests on the model parameters, confidence intervals, prediction intervals, coefficient of determination, multicollinearity, explanative categorical variables, variable selection algorithms, model selection and comparison, diagnosis. Interactions.
4. Analysis of variance (ANOVA) models
5. Generalized linear models. Logistic regression.
Classes will be simultaneously theoretical and practical, with several examples of application and always making use of statistical programming. The used software will be the free programming language R.
designation | Weight (%) |
---|---|
Teste | 75,00 |
Trabalho escrito | 25,00 |
Total: | 100,00 |
designation | Time (hours) |
---|---|
Estudo autónomo | 100,00 |
Frequência das aulas | 42,00 |
Trabalho escrito | 20,00 |
Total: | 162,00 |
No requisites.
Evaluation by two assessments and optional project.
1. Assessment 1 will take place in a date to be settled with students and Assessment 2 will take place during the period settled for conclusion of the distributed evaluation.
2. The project consists of a written report and an oral presentation.
3. The grade obtained in the project cannot be improved.
4. Evaluation formula:
(a) for students who complete the project:
max{0.75(T1+T2)+0.25TE, 0.65(T1+T2)+0.35TE}
T1: grade in the first assessment
T2: grade in the second assessment
TE: grade in the project.
(a) for students who have not complete the project:
T1+T2 but will never exceed 16
5. For the second exam period (época de recurso) the exam will consists of two parts, allowing students who have not yet passed the UC (and only them) to eventually replace either part with the mark obtained in the corresponding test.