Course - Scientific Methods - TDMA4003
Scientific Methods
About
About the course
Course content
The purpose of this course is to provide a solid methodological foundation for conducting scientific inquiry. Students will acquire knowledge of relevant qualitative and quantitative methods applicable to master's-level research. This foundation will enable them to carry out research projects in accordance with ethical and professional standards. Furthermore, students will be able to formulate scientific questions, design appropriate research frameworks, and effectively communicate their findings.
Learning outcome
Knowledge
Students must be able to:
- Apply relevant research methods.
- Define and formulate scientific research questions.
- Develop a research design tailored to a given problem.
Skills
Students must be able to:
- Design clear and well-structured research cases.
- Reflect critically on the collection of both qualitative and quantitative data.
- Systematically connect problem statements, theoretical frameworks, and relevant empirical data.
General Competence
Students must be able to:
- Analyse a topic for a master’s dissertation and select an appropriate research method suited to the project.
- Plan and design a complete research project.
- Communicate and present research findings clearly.
- Demonstrate critical reflection on research methods.
- Adhere to relevant ethical guidelines and professional standards.
- Critically assess the use of artificial intelligence methods and make informed technological choices.
Learning methods and activities
Various forms of work and learning activities will be used with a combination of lectures, student presentations and essay writing.
Compulsory assignments
- Further information in the course description
Further on evaluation
REQUIREMENTS FOR STUDENT WORK: Participation in a minimum of 75% of the learning activities. The activities are announced at the start of the course. In special cases where 75% participation is not satisfied, the student can enter into an agreement with the course coordinator (emneansvarlig) about alternative learning activities.
ASSESSMENT: Essay that counts 100% of the total grade. All aids allowed.
In the event of voluntary repetition, fail (F) or valid absence, the course must be retaken in a semester with teaching.
Specific conditions
Admission to a programme of study is required:
Digital Transformation (ITMAIKTSA)
Recommended previous knowledge
Knowledge of scientific methods and basic experience in writing of academic texts is advantageous.
Required previous knowledge
The course is reserved for students admitted to the Master's Degree Program in Digital Transformation.
Course materials
Course literature is determined at the start of the course. Possible textbooks can be: Kvalitative forskningsmetoder i praksis, 2. edition by Aksel Tjora, (2012). - Research Design, by John W. Creswell, (2014).