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CUHK

DSME2021 Applied Econometrics for Business Decisions

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Course Reviews on DSME2021 Applied Econometrics for Business Decisions

Shared by Anonymous

2022-04-11

Professor: Li, Hongyi


Course Description
This course introduces to students selected topics in applied statistics that are useful to business
decisions and research. Regression analysis is stressed. Topics include linear regression models,
some special topics in regression analysis and two-factor analysis of variance (ANOVA).
Applications to business and economic problems will be emphasized throughout this course.
Assessment
Class Participation 5%
Individual Assignments 10%
Group Project/Presentation 25%
Midterm Examination 25%
Final 35%
Grading
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Shared by Anonymous

2021-12-20

Professor: Lau Ka William


Course Description
advanced course of DSME2011
Assessment
Class participation, Exam, HW
Grading
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Shared by Anonymous

2020-01-06

Professor: Lau, William Ka


Course Description
Try to attend most classes, participation matters.
Assessment
Individual Assignment 10%
Participation 25%
Examination 65%
Grading
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Shared by Anonymous

2018-08-25

Professor: Lau, William Ka


Course Description
Quite a useful course on regression analysis. Emphasis is placed on how to use Microsoft Excel to assist multiple regression data analysis.
Assessment
Final Exam - 40% (open-book; open-note; conducted in BA LAB; allowed to use Excel for calculation; 2-hour quite rush)



Mid-term - 30% (one two-sided A4 cheat sheet allowed)



Continuous Assessment (In-class Participation) - 20% (make sure complete classwork and answer in-class questions correctly as many as possible to secure high score)



Individual Assignment - 10% (two assignments on selected end-of-chapter questions in the textbook)
Grading
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Shared by Anonymous

2018-08-25

Professor: Lau, William Ka


Course Description
Regression
Assessment
Parti 20%, assignment 10%[5%*2], mid term 30%, final 40%
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor: Lau, William Ka


Course Description
Regression
Assessment
Parti 20%, assignment 10%[5%*2], mid term 30%, final 40%
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor: Lau, William Ka


Course Description
Regression
Assessment
Participation, Midterm, Final
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor:


Course Description
Use statistic method to solve some business problem
Assessment
20% participation

10% Individual assignment

30% midterm

40% final
Grading
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Shared by Anonymous

2018-08-25

Professor: Ku, Fred Kei-tat


Course Description
算係比較實用的一科
Assessment
Forgot
Grading
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Shared by Anonymous

2018-08-25

Professor: Li, Hongyi


Course Description
statistic
Assessment
10% homework
Grading
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Shared by Anonymous

2018-08-25

Professor: William Lau


Course Description
The same content as DSME2020. All about regression using Excel. Not difficult.
Assessment
Midterm, Final, Homework, Participation(you need to answer questions to get points besides attendance), Presentation(you can choose whether or not to do the presentation, it won't bring you extra credits. If you do, presentation and participation are both 7.5%; if not, participation takes 15%. )
Grading
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