重磅消息2021世界研讨生预备课程(经济金融班暑期课程)初步报名...(重磅消息!黑龙江省将发放6亿元消费券)

原标题：重磅消息 | 2021世界研讨生预备课程（经济金融班暑期课程）初步报名啦！


留学党请留心！！！香港中文大学（深圳）高级金融研讨院（以下简称“深高金”）依托研讨生教育优势，开设世界研讨生预备课程，供给金融和经济等商科研讨生基础教育，为满足海外硕士学位课程严苛的请求条件?吵┙崾妒靠纬套龊米愎坏脑け福?2021年3月9日翻开世界研讨生预备课程报名请求体系！

项目简介

该项目为期4周， 全英文授课；学员经过学习经过考试拿到必定学分后，将获得香港中文大学（深圳）高级金融研讨院的 结业证书和成果单；更有机缘获得授课教师举荐信；深港两地 出名公司参访！

课程组织


quantitative methods 数量办法 (课程代码：sfi5301)
introduction to economics 经济学导论(课程代码：sfi5302)
accounting for finance 金融会计(课程代码：sfi5303)
introduction to python python课程（选修）(课程代码：sfi5311)

?数量办法、经济学导论（中级）、金融会计为全英文授课，python课程为中文授课；



师资团队



刘民教授

杜克大学博士

香港中文大学（深圳）高级金融研讨院副院长、高层打点教育项目主任、香港中文大学金融财务mba 课程主任。

教育/研讨方向：出资、房地产金融、衍生品商场、计量经济学



李宏毅教授

俄亥俄州立大学博士

香港中文大学抉择计划科学与公司经济学系任教，并担任博士生导师

教育/ 研讨方向：经济与金融時间序列计量分析 、微观经济增長和收入分配理论，以及我国经济等许多方面；曾在清华大学、武汉大学、西安交通大学、新加坡南洋理工大学等大学教学mba和emba课程。



mark e. koznarek

宾夕法尼亚大学沃顿商学院 mba、威斯康星大学硕士

香港中文大学（深圳）金融学理学硕士项目实施主任

研讨方向：从事机构股市研讨分析（或许“华尔街分析师”）跨越20年；曾任职于美国最大的资产打点公司之一的 alliance bernstein l.p. ，一起也是两家股市研讨公司的创始人。

请求流程


大学本科二大学及以上本科学生，不限专业；
英语水平需求：英语四级不低于450分；或英语六级不低于420分；或雅思（学术类）不低于5.5分；或其它可证明英文水平的考试。

请求材料


请求表；
自个简历（中英文）；
扫描：有关英语才能资历证书复印件，如英语四级、六级、托福、雅思、gmat等；
扫描：其他证明材料，如已宣告的论文复印件、奖状复印件、各类证书复印件等。

开课时刻


第一个班：2021年7月13开课；
第二个班：2021年7月27开课。

*究竟开课时刻，以选择邮件为准！

课程信息

introduction to economics

经济学导论（中级）

the course covers the basic concepts of intermediate microeconomics with a moderate degree of sophistication. this course will be useful to students who plan to take international master degree’s pr

ograms as well as students who want to get a solid understanding of economics principles required to understand finance and economics applications. the linkage between economics models and applications is emphasized throughout. bearing in mind that students are transitioning both from studying in a chinese setting to that of an international setting and from undergraduate study to graduate study, i have structured the course so that students would benefit most from the learning process.

quantitative methods

数量办法

the objective of this course is to address mathematical techniques required for analysing issues in finance and economics. as a pre-master course, it is intended to both refresh and consolidate basic concepts, and then go further to expand students’ knowledge of these topics, as preparation for the more rigorous core courses of the msc program. there are two parts of the course, fundamental methods of mathematical economics which help you to understand financial & economic models; probability and statistics which help you to conduct empirical analysis in the areas. apart from teaching the mathematical principles, there is also an emphasis on showing the relevant applications in finance & economics for these mathematical techniques.

accounting for finance

金融会计

this course is designed to provide students contemplating post-graduate financial study with an understanding of, and competency in, the language and processes of accounting. our emphasis is on understanding the inputs to financial statements, so that students understand the benefits and limitations of financial statements. in particular, we focus on use of the financial statements to address financial questions. the overall aims of this course include the following:


provide a broad introduction to accounting and it’s key principles.
introduce the role of accounting and how accounting captures information about the economics of an entity.
develop the skills to read and understand develop the skills to identify and record accounting transactions.
develop the skills to prepare basic financial statements including the statement of financial position, statement of comprehensive income, and statement of changes in equity.
enable students to understand the ‘story’ told by financial statements and the implications for the story when different choices are made.
develop skills in financial statement analysis using real-world company financials.

introduction to python

python入门课程

the course covers topics including, python setup and familiarization with the environment, writing basic programs in python, python development support data structures and libraries including numpy, exploratory data analysis using libraries such as pandas, predictive model design including regression analysis, decision tree and other prediction models, visualizations using matplotlib, and implementation project to practice the concepts learned during the course. an outline of the topics includes:回来搜狐，查看更多


python setup and basics
writing simple python programs
data structures and libraries
control flow in python
exploratory analysis in python
predictive model design
data visualization
course project


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