A Preliminary Study on the Design Principles of Artificial Intelligence Courses for the Lower Grades of Application-oriented Universities
Abstract
In view of the difficulties existing in the teaching process of artificial intelligence courses in application-oriented universities, such as the difficulties in understanding, the lack of strong correlations among the contents of chapters, insufficient training of practical ability and so on, this paper considers a new learning framework of AI course which can be constructed based on Python and its ecological environment with practical teaching experiences. The new framework will stimulate undergraduates of lower grades to explore professional theories and algorithms, and then lay a theoretical and practical foundation to them for the following advanced courses of artificial intelligence.
Keywords
Application-oriented University, Undergraduates of lower grades, Curriculum design, Artificial intelligence, PythonText
DOI
10.12783/dtssehs/aems2019/33506
10.12783/dtssehs/aems2019/33506