Multidisciplinary Research Methods for Engineers
Offered By: Delft University of Technology via edX
Course Description
Overview
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.
Syllabus
Week 1: Introduction to research
- What constitutes multidisciplinary scientific research and how is it used
- Structure of research: Scientific method and engineering design cycle
- Language of research
- What to research and how to find out more
- What is a research objective and a research question
- How to formulate a research objective and a research question?
Week 2: Phases and methods of scientific research
- Research questions and hypotheses
- Desktop research, literature study
- Theoretical modeling and conceptual frameworks
- Experimental/Study design
- Data collection
- Evaluation, validation and verification
- Research ethics and human resource research ethics
Week 3: Research method selection and study design
Understand and select the appropriate method for a research question in terms of:
- Qualitative methods
- Quantitative methods
- Mixed method approaches
- Formative and summative evaluation studies
Week 4: Data collection and analysis
- Data collection and data management
- Data analysis (qualitative and quantitative)
- Data interpretation
- How to validate and verify data
Week 5: Research management, documentation and publishing
- How to report research results
- Reporting multidisciplinary work
- Reporting in different disciplines
- Project management
- Scientific publishing including open science
Week 6: Verified certificate only: Research plan writing
- Writing a project plan based on a multidisciplinary research case where students can choose from which discipline they approach the problem.
Taught by
Marcus Specht, Gillian Saunders-Smits, Jacqueline Wong and Martine Schophuizen
Tags
Related Courses
Observing and Analysing Performance in SportOpenLearning Statistics: Making Sense of Data
University of Toronto via Coursera Financial Planning
TAFE NSW via Open2Study Mobiles for Development
Indian Institute of Technology Kanpur via Independent Valoración de futbolistas
Universitat Politècnica de València via UPV [X]