Research Methods 1

Recommended Prerequisites

English (B1 level).

Teaching Methods

The two modules are taught mainly as lectures, including the discussion of relevant case-studies. The assessment consists of an examination (50%) and a project with a deliverable and discussion (50%). 

Learning Outcomes

Development of the ability to conduct scientific research based on quantitative methods. Competency acquisition in analysis and synthesis, organisation and planning, decision making, research, critical reasoning, self-criticism and self-assessment. 

Work Placement(s)

No

Syllabus

I. Introduction
1. Science, technology and research
2. Critical thinking and scientific thinking
3. Integrity and conduct
II. Quantitative research methods in computing
1. Modelling
2. Formal methods
3. Experimental methods
4. Computer simulation.

Head Lecturer(s)

Luís Filipe dos Santos Coelho Paquete

Assessment Methods

Assessment
Mini Tests: 50.0%
Project: 50.0%

Bibliography

1. G. Dodig-Crnkovic, Theory of Science, 2003.
2. ESF and ALLEA, The European Code of Conduct for Research Integrity, Strasbourg: Ireg, 2011.
3. A. V. Aho and J. D. Ullman, Foundations of Computer Science, W. H. Freeman, 1992.
4. M. Kirby and G. Dangelmayr, Mathematical Modeling: A Comprehensive Introduction, in preparation (draft).
5. R. Sheldon, Probability and Statistics for Engineers and Scientists, Academic Press, 2009.
6. P. Cohen, Empirical Methods for Artificial Intelligence, MIT Press, 1995.
7. T. Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss, Experimental Methods for the Analysis of Optimization Algorithms, Springer, 2010.
8. K. Dooley (2002), “Simulation research methods,” in Companion to Organizations, Joel Baum (ed.), London: Blackwell, p. 829-848, 2002.
9. J. P. Davis, K. M. Eisenhardt and C. B. Bingham, “Developing theory through simulation methods,” Academy of Management Review, 32(2):480-499, 2007.