Quick maths refresher focusing on topics essential to better understand analytical tools in modern social scientific research.
Such tools include statistical models (e.g. linear regression, factor analysis), estimation techniques (e.g. least squares, maximum likelihood), measurement, formal modelling, and all kinds of inferences.
The course deals with:
Logic is essential for sound inferences as well as for theory formation. Algebra, calculus and matrices are essential for formal modelling and for better understanding statistical models and estimation techniques. Probability playes a crucial role in statistical models as well as measurement of theoretical concepts.
We won't be able to discuss individual topics thoroughly in such a short space of time. Instead, I will emphasise the relationship between mathematics and individual aspects of social science research.
After this course, you can extend your knowledge of maths through the recommended readings, depending on your areas of interest.