Summer Program 2018
Summer Program 2017
Summer Program 2016
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| 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 |
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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 |
| 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 |
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Series A
Data AnalyticsCourse Name | Teacher | Time | Notes | Business Statistics | Yichuan Ding
(UBC) | 6.9 – 6.12 |
| Time Series Analysis | Haipeng Xing
(Stanford) | 6.27 – 6.30 |
| Introduction to Pricing Analytics | Jun Li
(Wharton Ross) | 6.29 – 6.30 &
7.3 – 7.4 |
| Optimization for Modern Data Analysis | Tao Yao
(Stanford) | 7.5 – 7.8 |
| Microeconomic Theory in Practice | Chris Ryan
(Booth U of Chicago) | 7.15 – 7.19 |
| Introduction to Machine Learning
with Applications in R | Xi Chen
(CMU) | 7.25 – 7.28 |
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Series B
Modeling and Decision-MakingCourse Name | Teacher | Time | Notes | Linear Optimization and Application | Yinyu Ye
(stanford) | 7.1 – 7.4 |
| Nonlinear Optimization | Dongdong Ge
(Shufe) | 7.21 – 7.24 |
| Revenue Management | Zizhuo Wang
(Minnesota) | 7.29 – 8.1 |
| Optimization Algorithms for Deep Learning |
| 8.1 – 8.4 |
| Stochastics and Robust Optimization | Jiawei Zhang
(NYU Stern) | Mid August |
| Dynamic Optimization | Zhizu Zhu
(Stanford) | Mid August |
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