ISCTE-IUL > Education > DE

Research and Data Analysis (Emba) (2 º Sem 2018/2019)

Code:	02300
Acronym:	02300
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.

Semester	ECTS Credits	Theoretical Lesson (T)	Theoretical and Pratical Lesson (TP)	Practical and laboratorial lesson (PL)	Seminary (S)	Field Work (TC)	Training Period (E)	Tutorial Orientation (OT)	Contact Hours	Autonomous Work	Others (O)	Total Load Hours [?]Contact Hours + Autonomous Work
1	4.0	0.0 h/sem	20.0 h/sem	0.0 h/sem	0.0 h/sem	4.0 h/sem	0.0 h/sem	1.0 h/sem	25.0 h/sem	75.0 h/sem	0.0 h/sem	100.0 h/sem


Since year	2018/2019
Pre-requisites
Objectives	The main purpose of this course is to enable students to apply linear regression model, logit and probit models and simple time series model to real situations in business and institutional environments.
Program	1. Back to maths 2. Descriptive statistics and market risk 3. Probabilities and decision trees 4. Theoretical distributions and sales simulation 5. Hypotheses testing in the performance evaluation 6. Correlation and regression: sales forecasting
Evaluation 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 50%; - An individual test, with a weight of 50% 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.
Teaching Method	each student should acquire analytical, information gathering, written and oral communication skills. To contribute to the acquisition of these skills the following learning methodologies (LM) will be used: 1.Expositional, to the presentation of the theoretical reference frames 2.Participative, with analysis and resolution of application exercises 3.Active, with the realization of individual and group works 4.Experimental laboratory, with development and operation of computer models
Observations
Basic Bibliographic	- Wooldridge, Jeffrey (2012), Introductory Econometrics: A Modern Approach, South Western, Fifth edition. - Materiais a distribuir pelo docente.
Complementar Bibliographic	- Pinto, J. C. e Curto, J. D. (2010), Estatística aplicada à economia e gestão, Ed. Sílabo. - Curto, J. D. (2005), Excel para economia e gestão, Ed. Sílabo. -Johnston, J. e Dinardo, John (2000), Métodos econométricos, McGraw-Hill, 4ª edição. - Greene, William (2011), Econometric analysis, Prentice-Hall, Seventh edition.