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IN India Master's Degree

Research Methods for Computing

Frame a question, design the experiment and report results that hold up.

  • 8 modules
  • 32 topics
  • About 2 hours
  • Certificate

What the course covers

8 modules, 32 topics. Open any one to see what sits inside it.

    1. 1.1 What makes a question researchable
    2. 1.2 Reading the literature systematically
    3. 1.3 Finding the gap
    4. 1.4 Scope, feasibility and supervision
    1. 2.1 Experimental, observational and design science
    2. 2.2 Case studies and field work
    3. 2.3 Simulation and modelling studies
    4. 2.4 Choosing a design that fits the question
    1. 3.1 Surveys that produce usable data
    2. 3.2 Interviews and think-aloud studies
    3. 3.3 Sampling and recruitment
    4. 3.4 Consent, ethics approval and data protection
    1. 4.1 Variables, controls and conditions
    2. 4.2 Benchmarks and datasets
    3. 4.3 Reproducible environments
    4. 4.4 Pilot runs
    1. 5.1 Describing and visualising what you found
    2. 5.2 Hypothesis testing and effect size
    3. 5.3 Analysing open-ended responses
    4. 5.4 Threats to validity
    1. 6.1 The structure of a computing paper or thesis
    2. 6.2 Presenting methods so they can be repeated
    3. 6.3 Tables, figures and captions
    4. 6.4 Citing and referencing correctly
    1. 7.1 Plagiarism, self-plagiarism and authorship
    2. 7.2 Data handling and retention
    3. 7.3 Declaring AI assistance honestly
    4. 7.4 Reproducibility and open materials
    1. 8.1 Choosing a venue
    2. 8.2 Submission and peer review
    3. 8.3 Responding to reviewers
    4. 8.4 Presenting and defending your work

What you will be able to do

By the end of this course you will be able to explain and apply:

  • What makes a question researchable
  • Experimental, observational and design science
  • Surveys that produce usable data
  • Variables, controls and conditions
  • The structure of a computing paper or thesis
  • Choosing a venue

Why take it

Two hours, not two months Eight short modules. Finish in a day, or do one module a night for a week.
Depth beyond your coursework Pitched above taught content, for research, leadership and the work that follows the degree.
Built for a phone Watch on the bus, pause mid-module, pick up where you stopped. No download, no lab.
A certificate that can be checked Every certificate carries an ID your college or an employer can verify on our site.

Who it is for

Designed for

  • Master's Degree students in India
  • Studying: MCA, M.Sc. Computer Science, M.Tech CSE, PGDM in Data Science
  • Recent graduates strengthening a CV
  • Anyone working in this field without a formal qualification

What you need

  • No prior course needed
  • A phone, tablet or computer
  • About two hours in total
  • Each of the five courses stands alone

Questions

  1. About two hours in total — eight modules of roughly fifteen minutes. You can do it in one sitting or spread it across a week. Your place is saved either way.

  2. No. There is no prerequisite course and no software to install. A phone, tablet or computer with an internet connection is enough.

  3. Yes. This course is placed at Master's Degree for India, and the content is written for that level. If you are at a different stage, change your level at the top of the page and the courses will change with it.

  4. A certificate for the course, carrying an ID that your college or an employer can check on our verification page. You keep access to the material afterwards.

  5. Yes — ₹450 for this course on its own, or ₹1,450 for all five in this set, which works out cheaper if you want more than one.

  6. There is a short quiz at the end of each module so you can check what stuck. It is not timed and you can retake it.

  7. Change your country using the picker at the top. Level names, degree names and prices all switch to that country, and the courses adjust to its education system.

Wording shown for India. Pick a different country at the top and the terms, currency and programme names change with it.

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