Interdisciplinary Research Design for Artificial Intelligence

Catalog description

This course provides graduate students with the principles and practical skills necessary to conduct rigorous scientific research in artificial intelligence. Emphasizing interdisciplinary perspectives, the course introduces research design principles, methodologies, and evaluation strategies that prepare students to define and pursue novel research questions in AI disciplines. Students will learn how to critically engage with existing literature, design reproducible experiments, analyze results, and communicate findings in scholarly formats. The course is designed to support students in preparing for their master's thesis and to serve as a bridge toward doctoral-level research. By the end of the course, students will have produced a research proposal and gained hands-on experience in articulating, justifying, and refining AI-focused research that address academic and professional challenges.