Multidisciplinary Research Methods for Engineers (edX)

Multidisciplinary Research Methods for Engineers (edX)
Course Auditing
Categories
Effort
Certification
Languages
The course is aimed at engineers working or going to work in multidisciplinary environments who want to learn more about this type of research. There are no prerequisites.
Misc

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Multidisciplinary Research Methods for Engineers (edX)
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.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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.


What you'll learn

- 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.


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.



MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
88.00 EUR
The course is aimed at engineers working or going to work in multidisciplinary environments who want to learn more about this type of research. There are no prerequisites.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.