Introduction to Political Analysis
Description: This course prepares students to engage with the field of political science by introducing them to the basic logic and tools used by political scientists to understand and explain the political world. The course will teach students how political scientists ask answerable questions; how we define key political concepts; how we formulate hypotheses and theories about political dynamics; how we measure the phenomena we want to study; how we think about and assess relationships of cause-and-effect; and how we report our findings to the world.
Taught in the 2023 summer semester at the University of British Columbia.
Keywords: political analysis, causal inference, research design, measurement
Foundations of Large Language Models
Description: This graduate-level course provides a solid foundation in the theory and practice of large language models, such as GPT-4. Students will learn about the architecture, training methodologies, and applications of these models for social science research, as well as their ethical implications and future research directions.
Keywords: large language models, GPT-4, machine learning, NLP, AI