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Let`s Write Your Research Proposal - Research Methodology
Rating: 4.0 out of 5(57 ratings)
7,283 students

Let`s Write Your Research Proposal - Research Methodology

Research Methodology
Last updated 7/2020
English

What you'll learn

  • Complete research methodology aspects
  • Proposal writing from the scratch, until the end
  • Quantitative / Qualitative / Mix-modes research flavours
  • Plan your research`s evaluation strategy
  • How to write the literature review?

Course content

1 section11 lectures5h 49m total length
  • Introduction to the module3:55

    Provides a complete course overview

  • Getting Ready31:25
  • Finding a research problem32:04
  • Finalzing your objectives29:50
  • Positivism31:22
  • Interpretivism19:42
  • Research Philosophy51:49
  • Proposal Outline48:33
  • Proposal Outline - II38:39
  • Iterative Framework37:33
  • Thematic Analysis24:21

Requirements

  • N/A

Description

In any undergraduate or postgraduate programme, the ultimate milestone is to complete a research project. The inception of a research project occurs from the research proposal. This course will teach you the significant concepts associated with research methodology and how you can create your research proposal.

Upon successful completion of this course, you will be able to:-

  1. Distinguish the difference between an implementation project and a research project.

  2. How to gauge the research contribution?

  3. How to find a research gap?

  4. How to create a problem statement?

  5. How to create a research question?

  6. How to set the aim/motivation and research objectives?

  7. What is the research philosophy?

  8. Quantitative, Qualitative and mix-mode researches.

  9. How to create your literature review?

  10. How to create the methodology?

  11. How to plan your research`s evaluation strategies?

  12. Complete research proposal structure

  13. Iterative framework in practice.

  14. Thematic Analysis in practice

Who this course is for:

  • All undergraduate and postgraduate students in streams of computer science, software engineering, data science, information technology, information systems