A Brief Discussion on the Reform of Mathematics Teaching in Artificial Intelligence Majors - Taking Matrix Computation and Optimization as Examples

The Artificial Intelligence program is an engineering application program but involves deeper mathematical theory. Matrix Computation and Optimization belong to the core theoretical courses of AI majors. This paper discusses the inner connection between the two courses and the current teaching problems. In order to enable students to connect theory with practice, this paper proposes the organic integration of the two courses and proposes classroom teaching reform methods and practical teaching reform methods for the integrated course in order to improve the teaching quality of the classroom, mobilize students' classroom enthusiasm, and cultivate students' innovative thinking and teamwork ability. These methods are also inspiring for the teaching of other courses in artificial intelligence.