因为长春的天气相对凉爽,上课教室每天都有大量学院提前两小时占座。
详细课表如下:
2009统计学全国研究生暑期学校课程表
时 间 | 课程名称 | ||
6.23—6.26(周二至周五) | 上午 | 8:00——9:30 | Model selection, by Xiaotong Shen, Professor, University of Minnesota |
9:30——10:00 | Tea time | ||
10:00——11:30 | Model selection, by Xiaotong Shen, Professor, University of Minnesota | ||
下午 | 13:30——15:00 | Machine Learning and Data Mining, by Ji Zhu, Associate Professor, University of Michigan | |
15:00——15:30 | Tea time | ||
15:30——17:00 | Machine Learning and Data Mining, by Ji Zhu, Associate Professor, University of Michigan | ||
6.28—7.1(周日至周三) 6.28—7.1(周日至周三) | 上午 | 8:00——9:30 | Bayesian statistics and its applications,by Nan Lin, Professor, Washington University in St. Louis |
9:30——10:00 | Tea time | ||
10:00——11:30 | Bayesian statistics and its applications,by Nan Lin, Professor, Washington University in St. Louis | ||
下午 | 13:30——15:00 | Introduction to Stochastic Calculus with Applications to Finance by Bingyi Jing, Professor, HKUST | |
15:00——15:30 | Tea time | ||
15:30——17:00 | Introduction to Stochastic Calculus with Applications to Finance by Bingyi Jing, Professor, HKUST | ||
7.3—7.6(周日至周三) | 上午 | 8:00——9:30 | Bayesian statistics and its applications,by Nan Lin, Professor, Washington University in St. Louis |
9:30——10:00 | Tea time | ||
10:00——11:30 | Bayesian statistics and its applications,by Nan Lin, Professor, Washington University in St. Louis | ||
下午 | 13:30——15:00 | Introduction to Bayesian Networks, by Nevin Lianwen Zhang, Professor, HKUST | |
15:00——15:30 | Tea time | ||
15:30——17:00 | Introduction to Bayesian Networks, by Nevin Lianwen Zhang, Professor, HKUST | ||


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