2019/2020
BA-BPOLO2010U Quantitative Methods for Business and
Social Science
| English Title |
| Quantitative Methods for Business and
Social Science |
|
|
| Language |
English |
| Course ECTS |
7.5 ECTS |
| Type |
Mandatory |
| Level |
Bachelor |
| Duration |
One Quarter |
| Start time of the course |
Fourth Quarter |
| Timetable |
Course schedule will be posted at
calendar.cbs.dk |
| Study board |
Study Board for BSc/MSc i International Business and Politics,
BSc
|
| Course
coordinator |
- Zoltan Fazekas - Department of International Economics,
Governance and Business (EGB)
|
| Main academic
disciplines |
- Statistics and quantitative methods
|
| Teaching
methods |
|
|
|
Last updated on
17-06-2019
|
| Learning objectives |
- Identify and select adequate quantitative approaches to analyze
different social research problems.
- Summarize and illustrate the differences between experimental
and observational studies.
- Identify and evaluate the assumptions behind the statistical
methods introduced in the course.
- Apply multiple regression analysis to empirical data and
interpret the specific results (coefficients, standard errors,
p-values, etc.).
- Contrast different statistical models applied to data based on
their appropriateness, strengths, or weaknesses.
- Conduct data preparation and statistical analyses using
statistical software (R).
|
| Examination |
|
Quantitative
Methods for Business and Social Science:
|
| Exam
ECTS |
7,5 |
| Examination form |
Home assignment - written product |
| Individual or group exam |
Individual exam |
| Size of written product |
Max. 10 pages |
| Assignment type |
Written assignment |
| Duration |
7 days to prepare |
| Grading scale |
7-point grading scale |
| Examiner(s) |
One internal examiner |
| Exam period |
Summer |
| Make-up exam/re-exam |
Same examination form as the ordinary exam
A new exam assignment must be
answered. This apply to all students (failed, ill, or
otherwise)
|
|
| Course content, structure and pedagogical
approach |
|
The course provides students with theoretical and applied
knowledge about statistical and quantitative methods in business
and social science at an introductory and intermediate level. On
completion of the course, the student should be able to understand
the methods introduced in the course and apply them to a specific
research problem. The course introduces students to causal
inference, basic statistical analysis, and multiple regression
analysis. The course consists of a mix of lectures and
exercises. Throughout the course we will follow an applied,
hands-on approach.
|
| Description of the teaching methods |
| Lectures and exercise classes |
| Feedback during the teaching period |
| We encourage you to ask questions or make
comments in class and form self-study groups to secure peer
feedback on your work. We will use online forums to further offer
answers to questions regarding lecture and exercise content.
Feedback regarding specific inquiries will be offered during
‘office hours’ offered by full-time staff members, although these
can never be a substitute for participation in lectures and
classes. |
| Student workload |
| Preparation time (readings for lectures and exercises,
etc.) |
135 hours |
| Lectures, class exercises etc. |
44 hours |
| Exam (actual exam period) |
60 hours |
|
| Expected literature |
|
Kosuke, Imai (2017). Quantitative Social Science: An
Introduction. Princeton: Princeton University
Press.
|
Last updated on
17-06-2019
Permalink