面向研究生的凸优化课程教学设计与实践

Teaching Design and Practice of Convex Optimization Course for Postgraduates

凸优化是一门数学理论性极强的课程,也是人工智能专业研究生的必修基础课程。为满足人工智能专业研究生掌握凸优化问题基础理论与基本求解方法的需求,针对该课程进行教学设计与实践。基于凸优化课程的基本内容分析课程设计的思路和意义,提出教学设计方案和课程建设目标。凸优化课程的开设为人工智能专业研究生的科研工作提供了实用的数学工具,有效锻炼了其从工程背景出发求解优化问题的能力,具有重要意义。

Convex optimization is a course with strong mathematical theory,and it is also a compulsory basic course for graduate students majoring in artificial intelligence. In order to meet the needs of graduate students majoring in artificial intelligence to master the basic theory and basic solution methods of convex optimization problems,the teaching design and practice of this course are carried out. Based on the basic content of convex optimization course,this paper analyzes the idea and significance of course design,and puts forward the teaching design scheme and course construction goal. The establishment of convex optimization course provides practical mathematical tools for the scientific research of graduate students majoring in artificial intelligence,and effectively exercises their ability to solve optimization problems from the engineering background,which is of great significance.