engleski

In search of a syllabus: Comparing computer science courses

With the trend of globalization, there is an increasing need for an international computer science syllabi repository, using which students and teaching staff could explore and compare courses on various higher education institutions. Such a system would be vastly beneficial for exchange students as it could provide them a metric when choosing their destination. Driven by that need, a web application named CSyllabus was developed. After acquiring initial course data, currently from 11 universities, minimal attributes found throughout the dataset were defined. Course comparison algorithm was implemented using Latent Semantic Indexing from Gensim library based on comparing aforementioned attributes. To provide institutions the means to manage their syllabi data, keeping it precise and up-to-date, REST API was built with a supporting administration panel. Following the release, a poll was taken among users to evaluate the influence and usefulness of the CSyllabus web application.

Semantics, Indexing, Classification algorithms, Computer science, Electrical engineering, Market research

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