2023/2024 KAN-CSDEO1010U Research Methods
English Title | |
Research Methods |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Mandatory |
Level | Full Degree Master |
Duration | One Quarter |
Start time of the course | Second Quarter |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for MSc in Social Sciences
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Course coordinator | |
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Teaching methods | |
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Last updated on 09-10-2023 |
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Learning objectives | ||||||||||||||||||||||||||||
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Examination | ||||||||||||||||||||||||||||
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||||||
This course aims to help students to develop a basic background and empirical skills to systematically investigate entrepreneurial problems and opportunities that address challenges in society. For this aim, this course explores the ethics and fundamental principles of scientific investigation that apply to all methodological approaches and introduces students to various methods that can be useful to research in strategic design and entrepreneurship (SDE).
Students will learn the basic knowledge in quantitative, qualitative, and computational methods and the skills to systematically collect, reflect upon, and analyze data for qualitative research on entrepreneurial insights and ideas. They will also have opportunities to develop skills in quantitative data analysis. In addition, students will learn to effectively present and communicate research findings to people from diverse backgrounds.
The course combines lectures, exercises, and online learning materials to help the students to learn about different methods and to identify and employ appropriate methods for research questions and practical problems of interest. The students will reflectively assess their research practices, data collection, and data usage in terms of practical and ethical considerations concerning qualitative research. In exercises, students will have hands-on experiences in conducting a research project individually and collaboratively for strategic decisions and problem-solving in SDE. Students will be introduced to the free R software and other digital tools for data management, statistical analysis, and data visualization. Additional online learning materials will be provided for practical skills that students can use in their research projects. |
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Description of the teaching methods | ||||||||||||||||||||||||||||
The course consists of lectures and exercises and is a blended learning course that combines in-class and online teaching. Also, students will develop a final project throughout the course and be provided with assignments that help them to continuously assess their own understanding of methodological approaches and to practice necessary skills. The online teaching will include demonstrations and developmental feedback on assignments and final projects. | ||||||||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||||||||
Collective, peer-to-peer, or individual feedback will be provided for exercises and assignments. Students will also receive continuous feedback on their projects throughout the course. The instructor may initiate office hour meetings to discuss students' learning progress. | ||||||||||||||||||||||||||||
Student workload | ||||||||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||||||||
Will be posted on Canvas. |