暑期课程

Summer Program 2019Summer Program 2018Summer Program 2017
序号 课程名称 教师 时间 地点
1 Topics in Revenue Management Vineet Goyal 7.8-7.11下午 武东T10
2 Portfolio Optimization in Finance Hanqing Jin 7.8-7.11下午 武东T6
3 Stochastic Modeling Peter Glynn 7.10-7.13上午 武东T7
4 From Machine Learning to Decision-making: Bandit Learning and Reinforcement Learning 陈溪 7.10-7.13下午 三教404
5 Simulation Methods 郑泽宇 7.10-7.13下午 武东T7
6 Large-Scale Statistical Inference 苏炜杰 7.13-7.16下午 武东T9
7 Graph Theory and Statistical Learning Martin Wainwright 7.15-7.18上午 武东T9
8 Introduction to Queueing Opher Baron 7.16-7.19下午 武东T6
9 Stochastic Process and Financial Risk Analysis David Yao 7.18-7.21上午 武东T6
序号 课程名称 授课教师 时间 地点
1 Large-Scale Statistical Inference Weijie Su July.9th-July.12th Time:8:00-11:45 武东T9
2 Advanced Topics in Operations Research Yinyu Ye July.9th Time: 8:00-11:45, 13:20-17:05 信息学院102
3 Large-scale Integer Programming Santanu S. Dey July.10th-July.13rd Time:13:20-17:05 信息学院102
4 Queuing Theory Yuan Zhong July.16th-July.20th Time:8:00-11:45 三教410
5 Stochastic Process and Financial Risk Analysis David Yao July.17th-July.20th Time:13:20-17:05 武东T9
6 Statistics Learning and Graph Theory Martin Wainwright July.17th-July.19th Time:18:00-21:30;July.20th Time:8:00-11:45 武东T9
7 Stochastic System and Simulation Theory Peter Glynn July.23rd-July.26th Time:8:00-11:45 武东T9
8 A tutorial in doing quality research in OM Chris Tang July.24th-July.27th Time:13:20-17:05 武东T9
9 Reinforcement learning Shipra Agrawal July.24th-July.27th Time:13:20-17:05 武东T5
10 Information Dynamics in Social Networks Yaron Singer July.30th-Aug.2nd Time:8:00-11:45 武东T9
11 Topics in Revenue Management Vineet Goyal July.30th,July.31st,Aug.2nd,Aug.3rd Time: 13:20-17:05 武东T9
12 Introduction to Machine Learning with Applications in R Xi Chen July.31st-Aug.03rd Time:13:20-17:05 武东T5
2017上财暑期系列课程资料
课程表

Course Name Teacher Time Notes
Stochastic Systems and Simulation Theory Peter Glynn
(Stanford University)
7.24-7.27
Stochastic Process and Financial Risk Analysis David Yao
(Columbia University)
7.3-7.6
Statistical Learning and Graph Theory Martin Wainwright
(UC Berkeley)
7.9-7.12
Stochastic Optimization Alexander Shapiro
(Georgia Tech)
7.10-7.13
Artificial Intelligence Tuomas Sandholm
(CMU)
7.18-7.21
Robust Optimization Aharon Ben-Tal
(Technion)
5.25-5.27
Information Dynamics in Social Networks Yaron Singer
(Harvard University)
7.31-8.3
Introduction to Machine Learning with Applications in R Xi Chen
(NYU Stern)
6.25-6.28
Optimization Algorithms for Machine & Deep Learning Guanghui Lan
(Georgia Tech)
6.26-29
Large-Scale Statistical Inference Weijie Su
(Pennsylvania Wharton)
7.17-7.20
Dynamic Pricing Stefanus Jasin
(Michgan Ross)
7.11-7.14
Time Series Analysis Haipeng Xing
(SUNY at Stony Brook)
7.7/10./12/14
Topics in Revenue Management Vineet Goyal
(Columbia University)
7.31-8.3