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Engineering is no longer limited to working in a single domain; nowadays engineers increasingly work in multidisciplinary fields. After this course you will be able to carry out all stages of multidisciplinary research using appropriate research methods.
The use of data to understand phenomena and evaluate designs and interventions in different disciplines is increasingly evident. As a result, engineers and other applied scientists frequently find themselves needing to collaborate in multidisciplinary fields when carrying out research to remain innovative.
This course will help you to become a successful multidisciplinary researcher in industry, non-profit, or academia, and be more efficient and successful as you will know where the pitfalls are! This course explains the fundamentals on how to plan and carry out state-of-the-art qualitative and quantitative research in different phases of an innovation or research project.
The course has been designed by a team of experienced, multidisciplinary researchers in education, engineering and research methodologies and will also feature experts in the field of research methodologies as guest lecturers. In the course you will be working towards creating a project plan for your research, giving you a head-start in your research project.
The interuniversity, interdisciplinary Leiden-Delft-Erasmus Center for Education and Learning is a leader in multidisciplinary technological research and innovation projects. Learning from leading experts in the field you will learn to apply the best practices in your own context.
This course is aimed at new and aspiring researchers with a background in Engineering and other STEM related disciplines who are working or going to work in multidisciplinary environments who want to learn more about this type of research. There are no prerequisites.
Week 1: Introduction to research
Week 2: Phases and methods of scientific research
Week 3: Research method selection and study design
Understand and select the appropriate method for a research question in terms of:
Week 4: Data collection and analysis
Week 5: Research management, documentation and publishing
Week 6: Verified certificate only: Research plan writing
Professor for Digital Education • Delft University of Technology, Leiden-Delft-Erasmus Center for Education and Learning
Senior Lecturer/Associate Professor Mechanical Engineering (Cognitive Robotics) • Delft University of Technology
Assistant Professor at the Department of Education • Utrecht University