Development and Teaching Innovation of Digital Twin Technology Course for Computer Science Majors

Abstract

With the continuous deepening of the application of digital twin technology in various industries, especially in the fields of intelligent manufacturing, smart cities, and the Internet of Things, digital twin technology has raised new demands for the teaching of computer science majors. In order to cultivate students’ interdisciplinary knowledge, engineering practice abilities, and innovative capacities, this research discusses the development and teaching innovation of digital twin technology courses for computer science majors. The article first outlines the basic concepts, development history, and application needs of digital twin technology in computer science, followed by a discussion of the objectives and framework design for course development. It proposes a teaching method centered on project-driven learning, case analysis, and virtual simulation. Finally, the article establishes a diversified evaluation system and points out feedback and optimization paths for teaching innovation. Through this course design, the aim is to enhance students' theoretical literacy and practical abilities to meet the demands of digital transformation and cultivate high-quality technical professionals in the computer science field.