PhD in Psychology of Communication and Change

Master in Psychology

Psychologist

This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology.

Learn how to model social and economic networks and their impact on human behavior. The course uses some empirical background on social and economic networks, an overview of concepts used to describe and measure networks, a set of models of how networks form, including random network models and strategic formation models, some hybrids models and how networks impact behavio (contagion, diffusion, learning, peer influences).

Basic on how to program in R, how to use R for effective data analysis, how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.