Multidisciplinary Research Methods for Engineers
A systematic guide for conducting innovative research and developing advanced methodologies across diverse academic fields.
A systematic guide for conducting innovative research and developing advanced methodologies across diverse academic fields.
Master the art of multidisciplinary research in this comprehensive course designed for engineers and applied scientists. Explore qualitative and quantitative research methods, learn to plan and execute innovative projects, and gain practical skills in data analysis and interpretation. This course, led by experienced researchers from the Leiden-Delft-Erasmus Center for Education and Learning, covers all aspects of the research process - from literature review to data collection and analysis. By the end of the course, you'll be equipped to tackle complex, interdisciplinary challenges in both academic and industry settings, giving you a competitive edge in today's innovative research landscape.
Instructors:
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What you'll learn
Understand the concept and challenges of multidisciplinary research in various disciplines
Set up each phase of scientific research, from literature study to results interpretation
Select appropriate research methods for specific research questions
Understand the importance of research ethics and data management
Formulate clear research objectives and questions
Design experimental studies and theoretical frameworks
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 6 modules in this course
This course provides a comprehensive introduction to multidisciplinary research methods for engineers and applied scientists. It covers the entire research process, from planning to execution and reporting. The curriculum is divided into six weeks, each focusing on different aspects of research methodology. Week 1 introduces the basics of scientific research and how to formulate research objectives and questions. Week 2 delves into the phases of scientific research, including literature review, theoretical modeling, and research ethics. Week 3 focuses on selecting appropriate research methods, covering qualitative, quantitative, and mixed methods approaches. Week 4 addresses data collection, analysis, and interpretation. Week 5 covers research management, documentation, and publishing, including project management and open science principles. The final week, available for verified certificate students, involves writing a research plan based on a multidisciplinary case study. Throughout the course, students learn from experienced researchers and guest lecturers, gaining practical insights into conducting state-of-the-art research in multidisciplinary fields.
Introduction to Research
Module 1
Phases and Methods of Scientific Research
Module 2
Research Method Selection and Study Design
Module 3
Data Collection and Analysis
Module 4
Research Management, Documentation and Publishing
Module 5
Research Plan Writing
Module 6
Fee Structure
Instructors
2 Courses
Engineering Education Innovator Advancing Online and Lifelong Learning
Dr. Gillian Saunders-Smits is a Senior Lecturer/Associate Professor of Engineering Education in the Robotics department at Delft University of Technology. With over 20 years of experience teaching aerospace and mechanical engineering, she specializes in developing innovative approaches to engineering education, particularly in online and lifelong learning.
1 Course
Pioneer in Digital Education and Learning Technologies
Marcus Specht serves as Professor for Digital Education at TU Delft and Director of the Leiden-Delft-Erasmus Center for Education and Learning, while also leading TU Delft's involvement in the 4TU Center for Engineering Education. His academic foundation includes a Diploma in Psychology (1995) and a Ph.D. from the University of Trier (1998) focusing on adaptive information technology. His career spans significant roles, including heading the "Mobile Knowledge" department at Fraunhofer Institute and serving as Professor for Learning Technologies at the Open Universiteit Nederland (2005-2018). His research expertise encompasses Computational Thinking, Learning Analytics, AI in Education, and Virtual and Augmented Reality for Education. As an Apple Distinguished Educator and former President of the International Association of Mobile Learning (2013-2015), he has contributed significantly to digital education innovation. Currently affiliated with multiple institutions including the Erasmus School of Social and Behavioural Sciences and the Leiden Institute of Advanced Computer Science, Specht continues to advance technology innovation and digital education through multidisciplinary approaches
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