2024/2025 BA-BPOLO2401U Research Design and Quantitative Methods
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Research Design and Quantitative Methods |
Course information |
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Language | English |
Course ECTS | 15 ECTS |
Type | Mandatory |
Level | Bachelor |
Duration | Two Semesters |
Start time of the course | Autumn |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for BSc/MSc i International Business and Politics,
BSc
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Course coordinator | |
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Teaching methods | |
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Last updated on 25-06-2024 |
Relevant links |
Learning objectives | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Examination | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The exam in the subject consists of four parts:
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In the realms of business, public policy, and the non-governmental sector, there is an unprecedented emphasis on the need for "evidence." Consequently, the current labor market exhibits a strong demand for graduates proficient in data analysis, capable of designing inquiries, and adept at drawing conclusions from quantitative data.
This course covers both the theoretical background and application of introductory, intermediate, and more advanced statistical and quantitative methods in business and social science. Upon completion of the course, students should have a theoretical understanding of the methods introduced and the ability to apply them to specific research problems. The course will be taught over two semesters. In the first semester, we will discuss concepts related to research design, measurement, introductory data analysis (incl. data visualization and descriptive statistics). We will then transition to multiple regression and the estimation of statistical uncertainty. The second semester starts with a more thorough coverage of multiple regression analysis. Next, the course will introduce more advanced statistical methods and methods of causal inference, for example, difference-in-differences estimation and regression discontinuity designs. The course consists of both lectures and applied exercises, in which we will actively work on implementing the methods covered in lectures.
Please note: This course uses an applied approach and thus we will use software (R) to work with data throughout the whole course and in the examination. Beyond the software examples in the applied textbooks, students will receive a refresher on the software in the early stages of the course.
In relation to Nordic Nine Throughout the course, students will develop important competencies in several of the Nordic Nine capabilities. Understanding and working with data is becoming ever more important in our changing world. In this class, students learn important skills to empirically evaluate causal statements and analyze quantitative data (NN2). Students will practice thinking critically and analytically to answer important societal challenges (NN6). Moreover, students work collaboratively in data analytics tasks, collectively teaching and learning from each other (NN8).
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Description of the teaching methods | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lectures, exercise classes, feedback session, and supporting video materials. The course will be taught in-person. The teaching in the physical classroom will be supplemented by pre-recorded videos introducing and elaborating on aspects of the syllabus. For example, step-by-step coding introductions will be recorded and made available for the students to revisit as they work on their exercises. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Research Design and Quantitative methods is an
applied, exercise-based course, and students will receive feedback
continuously during lectures and exercise classes. Throughout the
sessions, personal feedback is provided in-class by means of the
exercise sessions.
In particular, all lectures are followed by exercise sessions. Here, students will be provided with feedback on the assignments they have prepared before or during the class meetings. Workshop instructors will walk through the exercise with the students, thereby providing additional group feedback. Additionally, solutions for the weekly exercises will also be posted. In addition, 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 also use online forums to further offer answers to questions regarding lecture and exercise content and also office hours for specific inquires, although these can never be a substitute for participation in lectures and classes. |
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Student workload | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Course information |
|
Language | English |
Course ECTS | 15 ECTS |
Type | Mandatory |
Level | Bachelor |
Duration | Two Semesters |
Start time of the course | Autumn |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for BSc/MSc i International Business and Politics,
BSc
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Course coordinator | |
|
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Main academic disciplines | |
|
|
Teaching methods | |
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Last updated on 25-06-2024 |