EDUCATION

Summer Program 2018 Summer Program 2017 Summer Program 2016
  • 序号课程名称授课教师时间地点
    1Large-Scale Statistical InferenceWeijie SuJuly.9th-July.12th Time:8:00-11:45武东T9
    2Advanced Topics in Operations ResearchYinyu YeJuly.9th Time: 8:00-11:45, 13:20-17:05信息学院102
    3Large-scale Integer ProgrammingSantanu S. DeyJuly.10th-July.13rd Time:13:20-17:05信息学院102
    4Queuing TheoryYuan ZhongJuly.16th-July.20th Time:8:00-11:45三教410
    5Stochastic Process and Financial Risk AnalysisDavid YaoJuly.17th-July.20th Time:13:20-17:05武东T9
    6Statistics Learning and Graph TheoryMartin WainwrightJuly.17th-July.19th Time:18:00-21:30;July.20th Time:8:00-11:45武东T9
    7Stochastic System and Simulation TheoryPeter GlynnJuly.23rd-July.26th Time:8:00-11:45武东T9
    8A tutorial in doing quality research in OMChris TangJuly.24th-July.27th Time:13:20-17:05武东T9
    9Reinforcement learningShipra AgrawalJuly.24th-July.27th  Time:13:20-17:05武东T5
    10Information Dynamics in Social NetworksYaron SingerJuly.30th-Aug.2nd  Time:8:00-11:45武东T9
    11Topics in Revenue ManagementVineet GoyalJuly.30th,July.31st,Aug.2nd,Aug.3rd   Time: 13:20-17:05武东T9
    12Introduction to Machine Learning with Applications in RXi ChenJuly.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 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

  • Series A

    Data Analytics

    Course 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