Aviso: Se está a ler esta mensagem, provavelmente, o browser que utiliza não é compatível com os "standards" recomendados pela W3C. Sugerimos vivamente que actualize o seu browser para ter uma melhor experiência de utilização deste "website". Mais informações em webstandards.org.

Warning: If you are reading this message, probably, your browser is not compliant with the standards recommended by the W3C. We suggest that you upgrade your browser to enjoy a better user experience of this website. More informations on webstandards.org.

Sub Menu
ISCTE-IUL  >  Education  >  GE

Information and Data Analysis (1 º Sem 2018/2019)

Code: 01302
Acronym: 01302
Level: 2nd Cycle
Basic: No
Teaching Language(s): Portuguese
Friendly languages:
Be English-friendly or any other language-friendly means that UC is taught in a language but can either of the following conditions:
1. There are support materials in English / other language;
2. There are exercises, tests and exams in English / other language;
3. There is a possibility to present written or oral work in English / other language.
1 6.0 0.0 h/sem 20.0 h/sem 0.0 h/sem 0.0 h/sem 8.0 h/sem 0.0 h/sem 2.0 h/sem 30.0 h/sem 120.0 h/sem 0.0 h/sem 150.0 h/sem
Since year 2018/2019
Pre-requisites None
Objectives The main purpose of this course is to enable students to apply univariate and multivariate data analyses to real situations in business and institutional environments.
Program 1- Back to maths.
2- Descriptive statistics with applications.
3- Statistical inference with applications.
4- Correlation and simple linear regression.
5- Multiple linear regression model (MLRM).
Evaluation Method The continuous evaluation includes the realization of:

1. An individual test (70%);
2. A team work (30%).

In this type of evaluation the students have to achieve a minimum grade of 10 in the individual test and of 10 in the team work.
In the written assessment students can use a form, statistical tables and a calculator.
Teaching Method In addition to strict compliance with the program regulation, the periodical evaluation method requires a minimum class attendance of 60% and:
- An assignment (individual or in group) with a weight of 30%;
- An individual test, with a weight of 70% and a minimum grade of 10 points.
Alternatively, the final exam, similarly to phase two exams, will account for 100% of the final grade, disregarding the periodical assessment component.

Observations -
Basic Bibliographic Curto, José Dias (2016), Estatística, muitas aplicações em Excel e poucas fórmulas..., edição de Autor.
Curto, José Dias e Gameiro, F. (2016), Excel para economia e gestão, 4ª ed., Ed. Sílabo.

Complementar Bibliographic Pinto, J. & Curto, J. (2014), Estatística Aplicada à Economia e Gestão, 3ª edição, Ed. Sílabo.
Wooldridge, J. (2013), Introductory Econometrics: A Modern Approach, 5th edition, Cengage Learning.
Greene, W. (2011), Econometric Analysis, Prentice-Hall, Seventh edition.