♦ ⌈ 课程介绍  Introduction ⌉

1、 简短概述  Brief Overview

最优化理论与应用是研究在给定约束条件下寻求最优决策方案的数学理论与方法学科，是现代工程、管理及数据科学的核心分析工具。

Optimization Theory and Applications is a mathematical discipline that studies theories and methods for finding optimal decision-making schemes under given constraints, serving as a core analytical tool in modern engineering, management, and data science.

2、详细介绍  Detailed Introduction 

本课程自2012年起面向电子科技大学来华硕士及博士研究生开设，是一门重要的数学专业基础课。课程系统讲授凸分析与优化理论、无约束与约束优化算法、线性与整数规划、多目标优化等核心内容，构建了从基础理论到前沿算法的完整知识体系。针对留学生学科背景多元、数学基础差异大的特点，课程采用全英文、小班化教学模式，并创新性地整合了“理论分析-模型构建-算法设计-程序实现”的CDIO教学理念。教学团队充分利用MATLAB等计算工具进行算法可视化与数值模拟，将抽象的数学概念与迭代过程直观呈现，有效降低了学习难度。课程注重因材施教与跨文化交流，通过个性化指导、多元化案例及过程性考核，着力培养学生运用优化方法解决通信、自动化、管理等领域实际复杂问题的能力。经过十余年建设，课程已成为学校理工科留学生培养方案中的核心课程，持续为全球科技发展输送具备扎实优化理论基础与强大工程应用能力的高层次人才。

This course has been offered for international master's and doctoral students at UESTC since 2012 and is an important foundational course in mathematics. It systematically teaches core content such as convex analysis and optimization theory, unconstrained and constrained optimization algorithms, linear and integer programming, and multi-objective optimization, establishing a complete knowledge system from fundamental theory to cutting-edge algorithms. Addressing the diverse academic backgrounds and varying mathematical foundations of international students, the course adopts a full-English, small-class teaching model and innovatively integrates the CDIO (Conceive-Design-Implement-Operate) educational philosophy of "theoretical analysis - model building - algorithm design - program implementation." The teaching team fully utilizes computational tools like MATLAB for algorithm visualization and numerical simulation, intuitively presenting abstract mathematical concepts and iterative processes, effectively reducing learning difficulty. The course emphasizes tailored teaching and cross-cultural communication. Through personalized guidance, diversified cases, and process-based assessment, it focuses on cultivating students' ability to apply optimization methods to solve practical complex problems in fields such as communications, automation, and management. After over a decade of development, the course has become a core component in the university's training program for international STEM students, continuously supplying high-level talents with solid optimization theoretical foundations and strong engineering application capabilities for global technological development.

♦ ⌈ 课程负责人及团队介绍  Lecturers and Teams ⌉

课程负责人：电子科技大学 张文星 副教授

Course Director: Associate Professor Zhang Wenxing, University of Electronic Science and Technology of China (UESTC)

本课程拥有一支国际化、高水平、科研与教学并重的教学团队。负责人张文星副教授拥有法国图卢兹第三大学博士后经历，长期从事最优化理论研究与教学。团队核心成员包括肖义彬教授、法籍教授Kahn Jonas（国家青年千人计划入选者）及张晓伟副教授，所有教师均拥有博士学位及长期海外留学或工作经历，学缘结构涵盖南京大学、四川大学、巴黎高等师范学校、巴黎第十一大学等多所国内外知名院校。团队兼具深厚的数学理论功底与丰富的跨文化教学经验，能够熟练进行全英文授课及学术指导。近年来，团队持续开展教学内容、方法及考核方式改革，致力于将前沿科研成果、工程案例与计算工具融入教学，成功构建了理论严谨、实践性强、适应留学生特点的课程体系。负责人曾连续多年荣获校级“来华留学研究生培养优秀任课教师”称号，体现了团队卓越的教学质量与贡献。

This course is supported by an international, high-level teaching team that balances research and teaching. The course director, Associate Professor Zhang Wenxing, has postdoctoral experience at Université Toulouse III - Paul Sabatier, France, and has long been engaged in optimization theory research and teaching. Core team members include Professor Xiao Yibin, French Professor Kahn Jonas (selected for the National Young Thousand Talents Plan), and Associate Professor Zhang Xiaowei. All instructors hold doctoral degrees and have extensive overseas study or work experience. Their academic backgrounds cover multiple renowned domestic and international institutions such as Nanjing University, Sichuan University, École Normale Supérieure de Paris, and Université Paris-Sud, ensuring diverse academic perspectives. The team possesses profound mathematical theoretical expertise and rich cross-cultural teaching experience, capable of proficient full-English instruction and academic guidance. In recent years, the team has continuously carried out reforms in teaching content, methods, and assessment, committed to integrating cutting-edge research成果, engineering cases, and computational tools into teaching, successfully building a rigorous, practical, and student-adaptive course system. The course director has been awarded the university-level "Excellent Course Teacher for International Graduate Student Cultivation" title for multiple consecutive years, reflecting the team's outstanding teaching quality and contributions.