Resources

All students MUST review the material corresponding to each session prior to each topic presentation

Resources

INAOE

• Student's guides

• Graduation process

Research methodology, scientific method and experimental design

• Bundy, A. (1995, November 17). The Researchers’ Bible.*

• Cotton, J., & Sekula, S. (n.d.). The Scientific Method.*

• Bundy, A. (2019). The Need for Hypotheses in Informatics.*

• Dean, A., Voss, D., & Draguljić, D. (2017). Design and Analysis of Experiments, Basingstoke, England: Springer.*

• Keppel, G., & Wickens, T. D. (2004). Design and Analysis: A Researcher's Handbook. New York, NY: Pearson College Division.*

• Kirk, R. E. (1995, January 1). Experimental Design.*

• Swanborn, P. G. (1996). A common base for quality control criteria in quantitative and qualitative research. Quality and Quantity, 30(1), 19-35. doi:10.1007/bf00139833.*

• Suresh, K. (2011). An overview of randomization techniques: An unbiased assessment of outcome in clinical research. Journal of Human Reproductive Sciences, 4(1), 8. doi:10.4103/0974-1208.82352.*

• Schulz, K. F., & Grimes, D. A. (2002). Generation of allocation sequences in randomised trials: chance, not choice. The Lancet, 359(9305), 515-519. doi:10.1016/s0140-6736(02)07683-3.*

Scientific literature review (searching, reading and analysis)

• Griswold, W. G. (n.d.). How to Read an Engineering Research Paper.*

• Mitzenmacher, M., & Ramsey, N. (n.d.). How to read a research paper.*

• Huang, W. (2001). How to read a research paper.*

• Chapman, D. (1988). How to do Research At the MIT AI Lab.*

• How to read a paper efficiently by Prof. Pete Carr (video)

• How to read a research scientific paper in less than 10 minutes by Amr Al-Haidari

• How to read scientific papers: Increase your time efficiency with the three-pass approach by Christoph Schmidl

• How to write a paper in a weekend by Prof. Pete Carr (video)

• How NOT to write a research paper by Oden Goldreich (pdf)

Scientific writing and presentation of results

• Scientific, Medical and General Proofreading and Editing. (n.d.). Eight steps to developing an effective outline.*

• Aceto, L. (n.d.). How to Write a Paper.*

• Parberry, I. (1993, July 29). How to present a paper in theoretical computer science: A speaker's guide for students.*

• Ronald A. Hites, How to convince an editor to accept your paper quickly, Science of The Total Environment, Volume 798, 2021.

• Martha Davis, Kaaron J. Davis, Marion M. Dunagan, Scientific Papers and Presentations, Third Edition, Elsevier, 2012, ISBN: 978-0-12-384727-0.

• Michael Alley, The Craft of Scientific Writing, Fourth Edition, Springer, 2018, ISBN 978-1-4419-8287-2, https://doi.org/10.1007/978-1-4419-8288-9.

• Beverly Ann Chin, How To Write a Great Research Paper, Wiley, 2004, ISBN 0-471-43154-0.

• Penny Freedman, 11 Questions to ask yourself as you write your manuscript, Springer Nature

Hypothesis validation and testing

• Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281-302. doi:10.1037/h0040957.*

• Wainer, H., & Braun, H. I. (2013). Test validity. London, England: Routledge.*

• K. Trochim, W. M. (2006, October 20). Introduction to Validity.*

• Bolstad, W. M., & Curran, J. M. (2016). Introduction to Bayesian statistics. Hoboken, NJ: John Wiley & Sons.*

• Kanji, G. K. (2006). 100 statistical tests. Thousand Oaks, CA: SAGE.*

• Bland, M. (1995). An Introduction to Medical Statistics. New York, NY: Oxford University Press, USA.*

• Armitage, P., Berry, G., & Matthews, J. N. (2013). Statistical Methods in Medical Research. Hoboken, NJ: John Wiley & Sons.*

• Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences. London, England: Routledge.*

• JM, L. (1981). Introduction to sample size determination and power analysis for clinical trials. - PubMed - NCBI.*

• Statistical Comparisons of Classifiers over Multiple Data Sets. (2006). Journal of Machine Learning Research, 7, 1-30.*

• Dietterich, T. G. (1998). Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. Neural Computation, 10(7), 1895-1923. doi:10.1162/089976698300017197.*

Research questions, objectives, experiments and methodology

• University of Manitoba. (2019). Graduate Thesis/Practicum Guidelines & Info.*

• Phillips, E., & Pugh, D. (2010). How To Get A Phd: a handbook for students and their supervisors. Milton Keynes, United Kingdom: McGraw-Hill Education (UK).*

• O'Shea, T., & Eisenstadt, M. (1984). Artificial Intelligence: Tools, Techniques, and Applications. New York, NY: HarperCollins Publishers.*

• Brause, R. S. (2012). Writing Your Doctoral Dissertation: Invisible Rules for Success. London, England: Routledge.*

• Purdue University. (2012, December 14). Some thoughts on what it takes to produce a good PhD thesis.*

• The University of Birmingham. (2009, March 29). Notes on presenting theses.*

• Dean, A. M., & Voss, D. (2006). Design and Analysis of Experiments. Berlin, Germany: Springer Science & Business Media.*

• DeGroot, M. H. (1988). Probabilidad y estadística.*

Motivation, justification, positioning, limitations and expected contributions

• Mikael Berndtsson, Jörgen Hansson, Björn Olsson, Björn Lundell, Thesis Projects: A Guide for Students in Computer Science and Information Systems, Second Edition, Springer, 2008, ISBN-13: 978-1-84800-008-7.

• Martha Davis, Kaaron J. Davis, Marion M. Dunagan, Scientific Papers and Presentations, Third Edition, Elsevier, 2012, ISBN: 978-0-12-384727-0.

• How to write your thesis compiled by Kim Kastens, Stephanie Pfirman, Martin Stute, Bill Hahn, Dallas Abbott, and Chris Scholz (web)

• How to organize your thesis by Prof. John W. Chinneck (web)

Background and discussion of results

• Mikael Berndtsson, Jörgen Hansson, Björn Olsson, Björn Lundell, Thesis Projects: A Guide for Students in Computer Science and Information Systems, Second Edition, Springer, 2008, ISBN-13: 978-1-84800-008-7.

• Eva O. L. Lantsoght, The A-Z of the PhD Trajectory: A Practical Guide for a Successful Journey, Springer, 2018, ISBN 978-3-319-77424-4, https://doi.org/10.1007/978-3-319-77425-1.

Additional resources

Motivational

• Do you dare to dream by inKNOWation (video)

• ¿Te atreves a soñar? by inKNOWation (video)

Scientific search engines

• Research Academy by Elsevier

• Google Scholar by Google

• arXiv.org by Cornell University (maths/computing/bio/statistics pre-print papers)

• bioRxiv.org by Cold Spring Harbor Laboratory (bio pre-print papers)

• PubMed.gov by the National Center for Biotechnology Information

• ScienceDirect by Elsevier

• Scopus by Elsevier

• Web of Science by Clarivate

• Microsoft Academic by Microsoft

• Semantic Scholar by the Allen Institute for AI

• Connected Papers shows related papers using graphs

• Open Knowledge Maps find relevant papers about a given topic

• Mendeley by Elsevier

Specialised forums

• StackExchange forums

• Papers with code (machine learning)

• Distill (machine learning)

• Code Ocean (simulation physics/biology/chemestry)

YouTube Channels

• Two Minute Paper

• Dot CSV

• Kurzgesagt - In a Nutshell