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短期课程

题目：Julia入门：从安装到高级模拟

报告人：HaiYing Wang, University of Connecticut

摘要：本短期课程为对科学计算与数据模拟感兴趣的用户提供了一个实用的Julia编程语言入门。参与者首先将学习如何安装Julia并用合适的编辑器搭建高效的编程环境。课程随后会引导 学员掌握Julia的基本语法，帮助大家编写清晰高效的代码。学习者还将熟悉Julia的包管理系统及项目环境的配置流程。课程还将介绍多线程与性能优化等计算效率相关的关键要素，帮助用户充分发挥Julia的速度优势。通过若干实际操作的模拟案例，课程将演示如何将所学知识应用于科学问题。课程结束后，学员将能够为今后进一步探索与应用Julia打下坚实基础。

报告人简介：HaiYing Wang is an Associate Professor in the Department of Statistics at the University of Connecticut. Prior to his current position, he was an Assistant Professor of Statistics at the University of New Hampshire from 2013 to 2017. He received his Ph.D. in Statistics from the University of Missouri and his M.S. from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, in 2006. Dr. Wang’s research interests include informative subdata selection for big data, model selection and averaging, measurement error models, and semi-parametric regression. His work has been published in leading statistics and machine learning journals, such as Biometrika, *IEEE Transactions, ASA, and JMLR, as well as at premier conferences including ICML and NeurIPS.

报告时间：

2025年6月18日（星期三） 上午9：00-12：00；

2025年6月20日（星期五）上午9：00-12：00；

报告地点：

6月18日 教二楼

联系人：胡涛