The School schedule is split into two modules. The first module (August 13 - 15) includes short refresher courses, recommended for students without necessary prerequisites or wishing to refresh skills. The second module contains general courses on methods and is organized during August 17 - 22.
Introduction to Statistics in R [ENG] - short course
Instructor: Dr. Boris Sokolov, Higher School of Economics - St. Petersburg ECTS: 1 credit (19 contact hours, 19 self-study hours) Useful for General Courses: Applied Regression, Experimental Research in Social Sciences; Bayesian Statistics Description: The course will teach you to use the most popular, up-to-date and open software for data analysis in social sciences, which is an essential toolkit to proceed with quantiative techniques taught in the IPSA - HSE School
Research Design Strategies [ENG] - short course
Instructor: tba ECTS: 1 credit (19 contact hours, 19 self-study hours) Useful for General Courses: Mixed Method Research, Qualitative Research Methods Description: The course will overview the basic research strategies social scientists use, and teach you how to build a successfull research design, both quantiative and qualitative, from a puzzle to a publication
Applied Regression [ENG] - general course
Instructor: Prof. Eduard Ponarin, Higher School of Economics ECTS: 2 credits (76 hours, 38 contact hours, 38 self-study hours) Level: Beginner - Intermediate Prerequisites: "Introduction into R" or similar background ("Coursera", other Summer Schools or university record). Description: Study the basics of the regression analysis using R and learn the most widespread techniques of statistical analysis in social and political research.
Bayesian Statistics [ENG] - general course
Instructor: Dr. Boris Sokolov, Higher School of Economics ECTS: 2 credits (76 hours, 38 contact hours, 38 self-study hours) Level: Beginner - Intermediate Prerequisites: "Introduction into R" or similar background ("Coursera", other Summer Schools or university record). Description: Bayesian data analysis is a rapidly developing field of statistics with a variety of applications. Learn how to apply it to the social and political research.
Mixed Methods Research [ENG] - general course
Instructor: Prof. Werner Patzelt, Technical University Dresden ECTS: 2 credits (76 hours, 38 contact hours, 38 self-study hours) Level: Beginner - Intermediate Prerequisites: None Description:
Experimental Research in the Social Sciences [ENG] - general course
Instructor: Dr. Israel Marques II, Higher School of Economics - Moscow