Dissertation / Work Project / Internship Plan

Code:

2EGA08

Acronym:

PDPE

Keywords
Classification	Keyword
OFICIAL	Economics

Instance: 2020/2021 - 1S

Active?	Yes
Responsible unit:	Agrupamento Científico de Economia
Course/CS Responsible:	Master in Environmental Economics and Management

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
EGA	28	Bologna Syllabus since 2012	2	-	7,5	56	202,5

Teaching language

Portuguese

Objectives

The course aims at developing scientific research skills and techniques, namely the ones related to data analysis. Throughout the course, students must be able to identify a research theme and elaborate a rigorous research proposal about that theme.

Learning outcomes and competences

Statistical treatment of data using a specific software package.

Elaboration, presentation and discussion of a research proposal that must include 8among other things) the following items:

• Identification of the research theme, including a well-defined research question;
• Revision of the relevant literature;
• Identification and justification of the methodological options (namely in respect to the techniques employed in data collection and data analysis);
• Elaboration of the chronogram of the research tasks.

Working method

Presencial

Program

1. The production of scientific knowledge and the research process: methodological considerations. Bibliographic datasets.


2. Statistical analysis and the research process. Data collection. Surveys and inquiries. Sampling process. Statistical datasets.


3. Data Analysis. Preliminary concepts and descriptive statistics.  Econometric methods. Data treatment, using a specific software package.


4. Presentation and discussion of the research proposals.

Mandatory literature

Eco, H; Como se Faz uma Tese em Ciências Humanas, Editorial Presença, 2007
Hair, J., Black, W., Babin, B. and Anderson, R.; Multivariate Data Analysis, 7th ed., Prentice-Hall, 2014
Levy, P. and Lemeshow, S.; Sampling of Populations: Methods and Applications , 4th ed., Wiley, 2008
Matalon, B. e Ghiglione, R.; O Inquérito, Teoria e Prática, 4ª ed. (port.), Celta, 2005
Mendes de Oliveira, M., Santos, L.D. e Fortuna, N.; Econometria, Escolar Editora, 2011
Murteira, B., Silva Ribeiro, C., Silva, J.A. e Pimenta, C.; Introdução à Estatística, , Escolar Editora, 2010
Quivy, R. e Campenhoudt, L.; Manual de Investigação em Ciências Sociais, Gradiva, 2008
Saunders, M., Lewis, P. and Thornhill, A.; Research Methods for Business Students, 6th ed., Pearson Education, 2012
Sekaran, U. and Bougie, R.; Research Methods for Business, 6th ed., Wiley, 2013

Teaching methods and learning activities

Theoretical exposition sessions.

Students written reports – Scientific articles.

Lab sessions requiring students’ active participation on the analysis of quantitative cases using an appropriate software package.

Students’ presentation on their own research proposals.

Software

EViews

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Teste	10,00
Apresentação/discussão de um trabalho científico	10,00
Trabalho prático ou de projeto	80,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Apresentação/discussão de um trabalho científico	8,00
Estudo autónomo	138,50
Frequência das aulas	56,00
Total:	202,50

Eligibility for exams

1 test (10% of final mark), 1 assignment pertaining to specific methodologies  (30% of final mark), presentation of a scientific paper (10%) and elaboration and presentation of a final report (50%)

Calculation formula of final grade

Assessment components:

Test about common subject classes (10%);

Assignment about specific methodologies (30%);

Presentation of scientific paper (10%);

Research proposal (report and oral presentation) (50%).