Course Description
This course provides an interdisciplinary overview of computational methods and their applications in social science research. It bridges computational techniques with traditional social science questions, equipping students with the skills to analyze complex social phenomena using modern data-driven approaches. The course emphasizes hands-on experience and critical thinking, preparing students for careers in academia, industry, or public policy.
Intended Learning Outcomes
CILO-1: Demonstrate the ability to collect, preprocess, and analyze diverse social science datasets using computational tools.
CILO-2: Develop and apply computational models to address social science research questions.
CILO-3: Critically assess the ethical and societal implications of computational methods in social research.
CILO-4: Produce a comprehensive research project that integrates computational techniques with substantive social science insights.