The Chinese University of Hong Kong

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DSME 2021 Applied Econometrics for Business Decisions

Related Textbook(s)/Reference(s):
7 sharing(s) available for this course
Average Rating:

8.57


Anonymous shared this review at 5:23am 3 August 2015
  • Professor: Li, Hongyi
  • Language: English
Rating:

5.00

Course Description
statistic 
Assessment
10% homework
Grading

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Anonymous shared this review at 9:51pm 10 August 2015
  • Professor: Ku, Fred Kei-tat
  • Language: Cantonese
Rating:

9.00

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

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Anonymous shared this review at 6:24pm 14 September 2015
  • Professor:
  • Language: English
Rating:

6.00

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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Student A shared this review at 10:45pm 15 November 2015
  • Professor: Lau, William Ka
  • Language: English
Rating:

10.00

Course Description
Regression
Assessment
Participation, Midterm, Final
Grading

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Anonymous shared this review at 11:20pm 24 November 2016
  • Professor: Lau, William Ka
  • Language: English
Rating:

10.00

Course Description
Regression
Assessment
Parti 20%, assignment 10%[5%*2], mid term 30%, final 40%
Grading

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Anonymous shared this review at 11:20pm 24 November 2016
  • Professor: Lau, William Ka
  • Language: English
Rating:

10.00

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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Anonymous shared this review at 6:15am 13 November 2014
  • Professor: William Lau
  • Language: Cantonese
Rating:

10.00

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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Teaching Professor(s)

Ku, Fred Kei-tat
Lau, William Ka
Li, Hongyi

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