Computational Psychology

The development of computational tools, such as artificial intelligence, has transformed daily life and many areas of research. For instance, the development of large language models such as ChatGPT, have changed the way people write and think. These computational tools also hold great potential for advancing psychological research. However, they are still unfamiliar to many students and psychologists.

In this class, you will learn about how to apply computational tools to facilitate practical problem solving in the real world and research at different stages, including before, during, and after data collection. Specifically, through a combination of lectures (which focus on the mathematical basics and developments of these computational methods), in-class engagements (which focus on translational application of the computational methods to solving new practical problems), and coding workshops (which focus on practical coding skills that implement the computational methods), I will introduce you to methods for handling complex stimuli, validating data quality, and modeling big data. Workshops will be administered via Colab using Python, so please be sure to bring a laptop to every class.