Research Methods in Risk Sciences

Year
2
Academic year
2019-2020
Code
02034682
Subject Area
Risk Sciences
Language of Instruction
Portuguese
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
4.5
Type
Compulsory
Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Basic knowledge in natural and exact sciences, social sciences or professional experience in risk science. Knowledge and ability to read in English.

Teaching Methods

Theoretical and theoretical-practical classes.

Theoretical presentations with collective discussion of the main topics.

Conference attendance by invited speakers.

Observation works with information gathering in the field, realized with tutorial support.

Presentation of the work and group discussion.

Learning Outcomes

To provide students with the general theoretical and methodological tools for the development of their research work (master's thesis).

Students should be able to formulate working hypotheses, collect and process diversified information and present research findings.

Work Placement(s)

No

Syllabus

Formulation of hypotheses and investigative objectives.

Collection and bibliographic selection.

Investigative methodologies.

Collection and statistical and cartographic data treatment.

Results analysis.

Formulation of conclusions.

Presentation and dissemination of scientific results.

Head Lecturer(s)

Lúcio José Sobral da Cunha

Assessment Methods

Assessment
Report of a seminar or field trip: 10.0%
Laboratory work or Field work: 20.0%
Resolution Problems: 30.0%
Synthesis work: 40.0%

Bibliography

 

(1) Aven, T. and Renn, O. (2010). Risk management and governance. Concepts, guidelines and applications. Berlin, Verlag.

(2) Cartwright, W.; Peterson, M. and Gartner, G. (2007). Multimedia cartography. Cartwright, Peterson, Gartner 2nd ed. Berlin: Springer.

(3) Handmer, J. and Dovers, S. (2008). Handbook of disaster & emergency policies & institutions. London: EarthScan.

(4) Pereira, A. and Poupa, C. (2004). Como escrever uma tese, monografia ou livro científico. 3ª edição. Edições Sílabo.

(5) Pestana, M. H. and Gageiro, J. (2008). Análise de dados para as ciências sociais : a complementaridade do SPSS. 5ª ed. Lisboa: Edições Sílabo.