Brief Introduction
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.
Description
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.
Knowledge
- describe what multidisciplinary research is and its associated challenges and opportunities in different disciplines.
- set up each phase of scientific research: the literature study, the theoretical and conceptual frameworks, the experimental and study design, the choice of research methods and data collection, the data analyses and the interpretation, validation and verification of the results and discussions of the outcome.
- understand and select the appropriate methods for a research question in terms of qualitative, quantitative and mixed methods including formative and summative evaluation studies.
- explain and the importance of research ethics, data management and guidelines for human research ethics in your research design and practice.
- write a research plan for a multidisciplinary case, including formulating a research objective and research questions, research set up, planning and reflection.
R: Neural Nets and CNN Architecture in R - Masterclass!
- 3.6
-
![]()
![]()
![]()
![]()
![]()
One stop guide to implement cutting-edge CNN architectures and build Neural Network models to solve complex problems! You’ll also apply supervised and unsupervised learning to your daily projects....
Interaction Design Specialist For Web Developers
- 4.1
-
![]()
![]()
![]()
![]()
![]()
Learn how to become an Interaction Design Specialist along with Wireframing fundamentals and boost your career Design Thinking helps you develop practical and innovative solutions for your problems....
Doping : Sports, Organizations and Sciences
- 4.6
-
![]()
![]()
![]()
![]()
![]()
The objective of this course is to encourage a critical understanding of doping. This approach will also allow us to appreciate the complexity of a subject like doping....
Create High-Fidelity Designs and Prototypes in Figma
- 4.9
-
![]()
![]()
![]()
![]()
![]()
In this course, you will follow step-by-step tutorials to learn how to create high-fidelity designs, called mockups, in Figma, a popular design tool....
