컴퓨터과학 교육과정-산업체 요구역량 연계성 정량 분석

초록

This study empirically analyzes the connection between the computer science curriculum of major domestic universities and the job requirements of the industry. A multi-layered dataset was constructed at the process and job level by collecting the university course lecture plan and corporate recruitment announcement. Based on the CS2023 knowledge domain and the recruitment platform-based job classification framework, the content of education and industry needs were compared indirectly through quantitative analysis methods such as TF-IDF, cosine similarity, keyword matching, and Pearson correlation coefficient. This result provides empirical evidence on the degree of linkage between universities and companies and provides quantitative insights to support future curriculum design and improvement.

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