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【国际讲堂】外教主讲的研究生全英文课程“数模与决策科学”开课通知
2017-05-09 17:20   审核人:   (点击: )

德州农工国际大学Texas A&M International UniversityGermany)、Killam基金会杰出教授Haibo Wang应管理学院邀请来我校从事教学和研究工作,计划于近期讲授“数模与决策科学”全英文课程,欢迎广大研究生和高年级本科生选修(旁听)学习。

联 系 人:管理学院  王阳   老师

联系方式:13891922885yangw@nwpu.edu.cn

课程名称:Science of Decision Making(数模与决策科学)

时间地点:见附件

课程介绍:

数模与决策科学是管理学院研究生的一门核心课程,内容涉及商业经济中的统计学方法和运筹学两方面。前者关注采用科学方法进行数据处理和分析,并使用科学信息辅助管理决策制定;后者关注如何构建模型和优化模型的求解策略。数据分析和模型构建已经成为了现代管理者不可或缺的知识和工具。本门课程的授课目标包括:

1. 培训学生使用统计学和运筹学方法求解商业管理中的实际问题。

2. 培训学生对数字信息的敏感度并提高学生处理数字信息的能力。

3. 培训学生统计学和运筹学的思维模式。

 “Science of Decision Making” is the core course for Master Students in Management School, whose contents include statistics for business and economics and operational research. The former focuses on handling and analyzing data scientifically, and helps to make a good management decision by means of scientific information; the latter considers how to building models and how to optimize strategies. Data analysis and model building have become indispensable knowledge and tools for modern managers. The objectives of this course are:

Training students to solving the practical problems of business management by using statistics and operations;

Training students to be sensitive for numerical information and improving students’ ability to deal with numerical information;

Training students’ mode of thinking by means of the special mode of thinking of statistics and operations.

外教简介:

Haibo Wang received a Ph. D. in Production Operations Management, 2004 from The University of Mississippi. He is named as Killam Distinguished Professorship in 2014. He has been advisor and committee member of 12 Ph. D. students. He is the guest professor and visiting professor of institutions in China and guest editor and editorial board member of international journals. He is co-founder of a logistics technology company. He is recipient of grants including Department of Homeland Security, Department of Transportation, NIH, NSF, and Department of Energy. He has publications including 53 academic journal articles.

 

 

研究生院    管理学院

201759        

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