INDEPENDENT STUDY

Catalog description

The Independent Study course provides graduate students the opportunity to pursue a self-directed, in-depth exploration of a specialized topic in Artificial Intelligence (AI), Machine Learning (ML) or a closely related field. This course is designed for students who wish to engage in focused research, advanced experimentation, or the development of AI models and software beyond the scope of standard coursework. Students work under the guidance of a faculty adviser to define the scope, objectives, and expected outcomes of the study. Throughout the course, students are expected to demonstrate initiative, critical thinking, and technical proficiency by conducting literature reviews, formulating research questions or project goals, implementing experiments or AI systems, analyzing results, and documenting findings. Regular meetings with the faculty adviser provide feedback, guidance, and assessment of progress.