文章基本信息

标题：Quantitative analysis of curricula coherence using directed graphs
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作者：Steffi Knorn ; Damiano Varagnolo ; Kjell Staffas 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：9
页码：318-323
DOI：10.1016/j.ifacol.2019.08.227
语种：English
出版社：Elsevier
摘要：AbstractThis paper investigates methods for quantitatively examining the connectivity and knowledge flow in a university program considering courses and concepts included in the program. The proposed method is expected to be useful to aid program design and inventory, and for communicating what concepts a course may rely on at a given point in the program. As a first step, we represent the university program as a directed graph with courses and concepts as nodes and connections between courses and concepts as directed edges. Then, we investigate the connectivity and the flow through the graph in order to gain insights into the structure of the program. We thus perform two investigations based on data collected from an engineering program at a Swedish university: a) how to represent (parts of) the university program as a graph (here called Directed Courses-Concepts Graph (DCCG)), and b) how to use graph theory tools to analyse the coherence and structure of the program.
关键词：KeywordsCourses Concepts Matrix (CCM)Courses Concepts Graph (CCG)university program designgraph theoryconnectivitymax flow-min cut