2023/2024
BA-BINBV2304U Data in Economics and Business
| English Title |
| Data in Economics and
Business |
|
|
| Language |
English |
| Course ECTS |
7.5 ECTS |
| Type |
Elective |
| Level |
Bachelor |
| Duration |
One Semester |
| Start time of the course |
Autumn |
| Timetable |
Course schedule will be posted at
calendar.cbs.dk |
| Max. participants |
80 |
| Study board |
Study Board for BSc in International
Business
|
| Course
coordinator |
- Daniel Borowczyk-Martins - Department of Economics (ECON)
- Herdis Steingrimsdottir - Department of Economics
(ECON)
|
| Main academic
disciplines |
- Finance
- Statistics and quantitative methods
- Economics
|
| Teaching
methods |
|
|
|
Last updated on
25-01-2023
|
| Learning objectives |
- Understanding how different sources of data are produced and
structured (e.g. survey data, time series, individual level data,
firm level data, cross section data)
- Knowing how to work with different types of data
- Learning the basics of programming in R
- • Critically know how to measure and quantitatively describe
key economic, business and financial concepts such as stock market
index, inflation, gdp, trade flows, and
productivity
|
| Course prerequisites |
| The course is offered to bachelor students in the
5th semester as an elective regardless of study line. Prior
knowledge in Statistics or Econometrics is an advantage. |
| Examination |
|
Data in
Economics and Business:
|
| Exam
ECTS |
7,5 |
| Examination form |
Oral exam based on written product
In order to participate in the oral exam, the written product
must be handed in before the oral exam; by the set deadline. The
grade is based on an overall assessment of the written product and
the individual oral performance, see also the rules about
examination forms in the programme regulations. |
| Individual or group exam |
Individual oral exam based on written group
product |
| Number of people in the group |
3-4 |
| Size of written product |
Max. 20 pages |
| Assignment type |
Project |
| Release of assignment |
Subject chosen by students themselves, see
guidelines if any |
| Duration |
Written product to be submitted on specified date and
time.
20 min. per student, including examiners' discussion of grade,
and informing plus explaining the grade |
| Grading scale |
7-point grading scale |
| Examiner(s) |
Internal examiner and second internal
examiner |
| Exam period |
Winter |
| Make-up exam/re-exam |
Same examination form as the ordinary
exam
|
|
| Course content, structure and pedagogical
approach |
|
Knowing how to work with data is critical in today’s business
society. This course focuses on how to obtain and process economic
and business data. In the course the students will be introduced to
the basics of data analysis using R programming language. It is an
applied course where the focus is on working with actual economic
and business data to practice both students’ programming and
analytical skills. Students will learn how to create descriptive
statistics, how to do data visualization and how to make inference
from the data. The course will cover the following topics:
- Introduction to R and fundamentals of programming
- Data collection and how to deal with e.g. seasonality,
measurement error and missing values
- Working with different types of Economic and Business
Data (e.g. prices, money, indexes, individual level data, survey
data, firm level data)
- Describing and visualizing the data: learning how to measure
and quantitatively describe key concepts in economics and
business
- Being able to critically evaluate data and statistical
results
|
| Description of the teaching methods |
| Lectures, exercises and group work. |
| Feedback during the teaching period |
| Feedback will be given throughout the course in
exercise classes and in office hours. |
| Student workload |
| Lectures and exercises |
166 hours |
| Exam |
40 hours |
|
Last updated on
25-01-2023
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