随机规划是处理数据带有随机因素的一类数学规划。它是融概率统计、经典分析、数学规划于一体的研究领域。在经济、管理、工程以及生态等领域，随机规划有着广泛的应用。目前，随机规划理论主要用于处理带随机参数的各种模型：随机多目标模型、机会约束模型、两阶段和多阶段模型、分布鲁棒优化模型和随机变分不等式等。. 为进一步推动我国学者在随机规划领域的研究，申请者计划于2016 年11月20日--2016年12月10日在重庆师范大学为国内研究生和青年学者举办一个为期3周的专题高级讲习班，讲授与随机规划相关的课程，共72学时。

In the field of mathematical optimization, stochastic programming is a framework for modeling optimization problems which involve uncertain data. It is a research field, which combines probability and statistics, classical analysis and mathematical programming. And, it is now being applied in a wide variety of areas including economics, management, mathematics, engineering, ecology, etc. Nowadays, stochastic programming theory offers a variety of models to address the presence of random data in optimization problems: chance-constrained models, two- and multi-stage models, distributionally robust optimization, stochastic variational inequalities. In order to further promote the research of Chinese scholars in the field of stochastic programming, we plan to hold a 4-weeks’ senior workshop, on Nove. 20-Dec 10, 2016, in Chongqing Normal University. And four with total 72 hours’ courses related to stochastic programming field will be given for graduate students and young scholars.