经济学科《高级计量经济学》、《现代微观计量》英文慕课全球发布
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发布时间: 2020-05-01 浏览次数: 10

4月28日,爱课程国际平台启动仪式在高等教育出版社举行,厦大经济学科两门全英文慕课《高级计量经济学》(Advanced Econometrics)、《现代微观计量》(Modern Data Analysis for Economics)被厦门大学推荐,作为爱课程国际平台首批在线教学课程面向全球推出,并将于4月30日正式开课。教育部高等教育司司长吴岩指出,爱课程国际平台首批推出的课程具有数量品种丰富、名校云集、名师荟萃、金课汇聚等特点,充分代表中国质量和世界水准。 

新型冠状病毒疫情在全球的肆虐,令许多国家的大学正常教学秩序受到严重影响,停课停学致使全球数以亿计大学生的学业受到冲击。为此,中国高等教育汇聚中国最好的大学、最好的教师、最好的课程,力图为世界各国大学生提供优质在线课程资源,并提供尽可能的学习指导与服务,以实际行动支持世界高等教育共渡难关。 

本次厦大经济学科首批推出的两门课程中,《高级计量经济学》(Advanced Econometrics)授课对象适用于经济管理类、统计学、数据科学、应用数学等相关专业硕、博士研究生,《现代微观计量》(Modern Data Analysis for Economics)授课对象适用于经济管理类、统计学、数据科学等相关专业本科和硕士研究生。

4月10日,高校在线教学国际平台课程建设工作视频会在京召开,会议召开后,厦大经济学科积极相应教育部号召,从已有在线课程中,挑选了一批教学反馈好、教学质量优秀、适应国外文化环境和学习环境,具有国际推广潜力的课程进行针对性的过程设计和培育建设,以期推出一批代表中国质量、世界水准的金课,通过实际行动支持世界高等教育共渡难关。 

目前,厦大经济学科共选取4门课程进行英文慕课建设,首批推出的两门课程已在国内一般视频网站和专门课程网站上线,此次首推课程按照国际慕课标准进行了转制和全英文改造,在经济学科任课教师和技术人员的紧张筹备后如期上线。接下来,厦大经济学科第二批拟建设课程为《多元统计分析》( Multivariate Statistical Analysis)和《属性数据分析》(Categorical Data Analysis)。 

厦大经济学科近年来秉持“用国际语言、讲述中国故事”的理念,立足中国大地,对接、服务国家需求,以培养具有国际视野、通晓国际规则、熟谙国际事务、能参与国际竞争、能在国际交流中传播中国声音的经济学类专门人才为目标,不断加强学科课程国际化建设,以期推动中国经济学教育走向国际。 

(经济学科) 

【课程入口】

《高级计量经济学》

授课教师:洪永淼教授

课程人口:

https://www.icourse163.org/en/mooc/course/XMU1-1458062167

课程介绍

Modern economies are full of uncertainties and risk. Economics studies resource allocations in an uncertain market environment. As a generally applicable quantitative analytic tool for uncertain events, probability and statistics have been playing an important role in economic research. Econometrics is statistical analysis of economic and financial data. In the past four decades or so, economics has witnessed a so-called “empirical revolution” in its research paradigm, and as the main methodology in empirical studies in economics, econometrics has been playing an important role. It has become an indispensable part of training in modern economics, business and management. This course develops a coherent set of econometric theory, methods and tools for economic models. This course will be useful for graduate students from economics, business, management, statistics, applied mathematics, data science and related fields. 

《现代微观计量》

授课教师:茅家铭助理教授

课程入口:

https://www.icourse163.org/en/mooc/course/XMU1-1458076167 

课程介绍:

This course offers a unified introduction to the principles and methods of statistical modeling and causal inference – two areas essential to data analysis in economics. The first part of this course introduces learning theory and a number of modern machine learning methods used for pattern recognition and predictive modeling. The second part introduces the theory of causal inference and surveys frequently used econometric techniques for causal effect learning and program evaluation. Finally, we discuss structural estimation and offer a unified perspective on the use of reduced-form and structural econometric methods.  

The goal of this course is to equip students with both a solid theoretical foundation, and the tools they need to conduct hands-on empirical research using state-of-the-art technology. The lecture materials are written to be both deep conceptually and easy to follow technically. Throughout the course, methods are demonstrated with applications to actual and simulated problems in various fields of applied economics, such as labor economics, industrial organization, finance, and marketing. Students will learn how to explore and analyze large high-dimensional datasets, choose appropriate methods for answering different types of queries, including associational, causal, and counterfactual, as well as gaining valuable computational skills.



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