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INF 501 Informatics Research Methods
Department: MSc in Informatics (Knowledge and Data Management)
Module Description: The aim of this module is to teach the methodologies of and the skills for conducting research in Informatics. It will focus on three main parts: (1) analytical methods, (2) empirical methods, (3) writing and evaluating research. The module will cover: the nature of Informatics and Informatics research; criteria for assessing Informatics research; different methodologies for Informatics research and how to combine them; analytical proof; algorithm and complexity analysis; the design of experiments and evaluations; practical advice on conducting research and numerous research skills including: reading, reviewing, presenting, writing, design, etc.
There is no textbook. We will rely on web resources and papers:
- Berger, D.E. & Saw, At.T. (2008). WISE hypothesis testing tutorial. [online]. Available at: http://wise.cgu.edu/wise-tutorials/
- Feitelson, D. G. (2005). Experimental computer science: the need for a cultural change. [online]. Available at: http://www.cs.huji.ac.il/~feit/papers/exp05.pdf
- Gustedt, J., Jeannot, E. & Quinson, M. (2009). Experimental methodologies for large-scale systems: a survey [online]. Parallel Processing Let, vol. 19 (3) pp. 399-418. http://hal.archives-ouvertes.fr/docs/00/36/41/80/PDF/RR-6859.pdf
- Hutchings, M. (nd). Introduction to mathematical arguments [online]. Available at http://math.berkeley.edu/~hutching/teach/proofs.pdf
- Johnson, D.S. (2001). A theoretician's guide to the experimental analysis of algorithms [online]. Available at: http://plato.asu.edu/ftp/experguide.pdf
- Kitchenham, B.A., Pfleeger, S.L., Pickard, L.M., Jones, P.W., Hoaglin, D.C., Emam, K. E. & Rosenberg, J. (2002). Preliminary guidelines for empirical research in software engineering [online]. Software. Engineering, IEEE Transactions, vol. 28 (8), pp. 721-734. Available at: http://www.ehealthinformation.ca/documents/1082.pdf
- Kohavi, R., Longbotham, R., Sommerfield, D. & Henne, R.M. (2009). Controlled experiments on the web: survey and practical guide [online]. Data Mining and Knowledge Discovery, vol. 18 (1), pp. 140-181. Available at: http://ai.stanford.edu/~ronnyk/2009controlledExperimentsOnTheWebSurvey.pdf
- Neideen, T. & Brasel, K. (2007). Understanding statistical tests [online]. Journal of surgical education, vol. 64 (2) pp. 93-96. Available at: http://osp.mans.edu.eg/tmahdy/papers_of_month/0706_statistical.pdf
- Tichy, W.F. (1998). Should computer scientists experiment more? [online], Computer, vol. 31(5) pp. 32-40. Available at: http://www.ics.uci.edu/~hasuncio/present/experimentMore.pdf