Curriculum information in universities is often fragmented, making it difficult for students to understand curriculum structures and plan efficient academic pathways. This project models the curriculum as a directed graph to make these structures explicit. We construct a structured dataset integrating course attributes, prerequisite relationships, offering patterns, and program requirements, and build a graph model using NetworkX. Network analysis and pathway computation methods are applied to identify key courses and generate feasible course sequences. A web-based prototype enables interactive exploration. The project aims to support informed decision-making and provide a structural framework for understanding curriculum design.
