Grades
Here the final grades (as of 3/12).
If you want to see the last exercise or discuss the grades,
please come seem me at my office, on 26/12 from 8:30
to 12, 30/11 from 13:00 to 16:00 or 3/12 from 8:30 to 12:00
Exercises
Classes will start 14/8
Topics
The course will cover the following topics:
- Hierarchy of publication quality with emphasis on Computer
Science
- Bibliographic search
- Statistical tests - standard null hypothesis significance
tests
- Modern techniques in statistical analysys - effect size
and confidence intervals
- Bayesian analysis
- Experimental designs
- Topics in experimental design and tests for some selected
subareas of Computer Science such as machine learning, software
engineering, human-machine interface, hardware design, and so on (according to the areas of research of
the students in class)
- Quantitative experiments with people - ethical and experimental design
issues
- Qualitative research (if there are students whose research
require it).
The course has a practical emphasis. I will not write down any of
the formulas for the different tests, just provide the name, the
pressupositions of the tests, and the name of the R function that
implement them.
Bibliographic references
Papers and notes on most of the topics will be made avaliable
before the classes
Grading criteria
Weigthed average of classroom participation, exercises, and student
presentation about his or her own research methods.
Exercises will be preferentially done in R
Links